CN115543490B - Flash firmware starting method and system - Google Patents

Flash firmware starting method and system Download PDF

Info

Publication number
CN115543490B
CN115543490B CN202211525410.9A CN202211525410A CN115543490B CN 115543490 B CN115543490 B CN 115543490B CN 202211525410 A CN202211525410 A CN 202211525410A CN 115543490 B CN115543490 B CN 115543490B
Authority
CN
China
Prior art keywords
starting
parameter
information
association
optimization
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202211525410.9A
Other languages
Chinese (zh)
Other versions
CN115543490A (en
Inventor
宋远岑
陈育鸣
王展南
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangsu Huacun Electronic Technology Co Ltd
Original Assignee
Jiangsu Huacun Electronic Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jiangsu Huacun Electronic Technology Co Ltd filed Critical Jiangsu Huacun Electronic Technology Co Ltd
Priority to CN202211525410.9A priority Critical patent/CN115543490B/en
Publication of CN115543490A publication Critical patent/CN115543490A/en
Application granted granted Critical
Publication of CN115543490B publication Critical patent/CN115543490B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/445Program loading or initiating
    • G06F9/44505Configuring for program initiating, e.g. using registry, configuration files
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5011Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

Landscapes

  • Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Stored Programmes (AREA)
  • Debugging And Monitoring (AREA)

Abstract

The invention discloses a flash firmware starting method and a flash firmware starting system, wherein the method is applied to first flash equipment, the equipment comprises first flash firmware, and the method comprises the following steps: generating first starting flow information; generating a first starting parameter set; generating a first serialization adjustment result; generating first start-up speed information and first response time information; generating a first optimization instruction; performing optimization analysis on the first starting parameters based on the starting time sequence information to generate a first optimization result; and performing flash firmware starting control according to the first optimization result. The method solves the technical problem that threads, the number of threads and the access speed of the flash memory firmware are not matched with the operation efficiency of the flash memory firmware, optimizes and adjusts the starting parameters, reduces the number of threads, improves the access speed, achieves the effect that the threads, the number of threads and the access speed are adaptively matched with the operation efficiency of the flash memory firmware, improves the starting speed of the flash memory firmware, and reduces the response time.

Description

Flash firmware starting method and system
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a flash firmware starting method and a flash firmware starting system.
Background
In the prior art, a large amount of parallel data processing is usually performed on the flash firmware by using a large amount of storage files, so that starting parameters such as different threads, access speeds and the like are inevitably generated at the same time due to a large amount of parallel data, if the types of thread scheduling are improper, the threads are too many, the access speeds are too slow, starting performance is poor, therefore, a flash firmware starting scheme is optimized, the starting related technical problems of the flash firmware can be effectively improved by realizing custom setting of the starting speed threshold interval and the response time threshold interval parameter threshold, at present, an interface allocation driver is often used for realizing the functions, but the allocation of the interface program is generally guided by a professional technology to realize interface adaptation and starting configuration of an operation program and the flash firmware, and the operation is complex and difficult to popularize and use.
In the prior art, the technical problems of mismatching of threads, thread numbers and access speed of the flash firmware and the running efficiency of the flash firmware exist.
Disclosure of Invention
The method and the system for starting the flash firmware solve the technical problem that threads, the number of threads and the access speed of the flash firmware are not matched with the running efficiency of the flash firmware, achieve the technical effect that the threads, the number of threads and the access speed are adaptively matched with the running efficiency of the flash firmware, further improve the starting speed of the flash firmware and reduce the response time.
In view of the above, the present application provides a method and a system for starting flash firmware.
In a first aspect, the present application provides a method for starting up flash firmware, where the method is applied to a first flash device, where the device includes a first flash firmware, and the method includes: when a first connection signal is detected, starting flow extraction is carried out on the first flash memory firmware, and first starting flow information is generated, wherein the first starting flow information comprises multi-level starting node information; traversing the multi-level starting node information to extract starting parameters and generating a first starting parameter set; carrying out serialization adjustment on the first starting parameters based on starting time sequence information to generate a first serialization adjustment result; traversing the first serialization adjustment result to perform starting performance analysis, and generating first starting speed information and first response time information; generating a first optimization instruction when the first starting speed information does not meet a first preset requirement and/or the first response time information does not meet a second preset requirement; according to the first optimization instruction, performing optimization analysis on the first starting parameter based on the starting time sequence information to generate a first optimization result; and performing flash firmware starting control according to the first optimization result.
In a second aspect, the present application provides a flash firmware boot system, where the method is applied to a first flash device, the device including a first flash firmware, the system including: the first generation unit is used for extracting a starting flow of the first flash firmware when the first connection signal is detected, and generating first starting flow information, wherein the first starting flow information comprises multi-level starting node information; the second generation unit is used for traversing the multi-level starting node information to extract starting parameters and generating a first starting parameter set; the third generation unit is used for carrying out serialization adjustment on the first starting parameters based on starting time sequence information to generate a first serialization adjustment result; the fourth generation unit is used for traversing the first serialization adjustment result to perform starting performance analysis and generating first starting speed information and first response time information; a fifth generating unit, configured to generate a first optimization instruction when the first starting speed information does not meet a first preset requirement and/or the first response time information does not meet a second preset requirement; the sixth generation unit is used for carrying out optimization analysis on the first starting parameters based on the starting time sequence information according to the first optimization instruction to generate a first optimization result; and the first control unit is used for performing flash firmware starting control according to the first optimization result.
In a third aspect, the present application provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of the first aspects when the program is executed.
In a fourth aspect, the present application provides a computer program product comprising a computer program and/or instructions which, when executed by a processor, implement the steps of the method of any of the first aspects.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
because the first connection signal is detected, the first flash firmware is subjected to starting flow extraction to generate first starting flow information, wherein the first starting flow information comprises multi-level starting node information; traversing the multi-level starting node information to extract starting parameters and generating a first starting parameter set; carrying out serialization adjustment on the first starting parameters based on starting time sequence information to generate a first serialization adjustment result; traversing the first serialization adjustment result to perform starting performance analysis, and generating first starting speed information and first response time information; generating a first optimization instruction when the first starting speed information does not meet a first preset requirement and/or the first response time information does not meet a second preset requirement; according to the first optimization instruction, performing optimization analysis on the first starting parameter based on the starting time sequence information to generate a first optimization result; and performing flash firmware starting control according to the first optimization result. The embodiment of the application solves the technical problem that threads, the number of threads and the access speed of the flash memory firmware are not matched with the operation efficiency of the flash memory firmware, optimizes and adjusts the starting parameters, reduces the number of threads, improves the access speed, achieves the technical effects that the threads, the number of threads and the access speed are adaptively matched with the operation efficiency of the flash memory firmware, further improves the starting speed of the flash memory firmware, and reduces the response time.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
FIG. 1 is a flow chart of a method for starting up a flash firmware of the present application;
FIG. 2 is a flow chart of a method for starting a flash firmware to obtain first response time information;
FIG. 3 is a flowchart illustrating a method for generating first boot speed information according to the present invention;
FIG. 4 is a schematic flow chart of generating a first and a second parameter optimization subspaces of a flash firmware boot method according to the present application;
FIG. 5 is a schematic diagram of a flash firmware boot system according to the present application;
fig. 6 is a schematic structural diagram of an exemplary electronic device of the present application.
Reference numerals illustrate: the device comprises a first generating unit 11, a second generating unit 12, a third generating unit 13, a fourth generating unit 14, a fifth generating unit 15, a sixth generating unit 16, a first executing unit 17, an electronic device 300, a memory 301, a processor 302, a communication interface 303, and a bus architecture 304.
Detailed Description
The method and the system for starting the flash firmware solve the technical problem that threads, the number of threads and the access speed of the flash firmware are not matched with the running efficiency of the flash firmware, achieve the technical effect that the threads, the number of threads and the access speed are adaptively matched with the running efficiency of the flash firmware, further improve the starting speed of the flash firmware and reduce the response time.
Summary of the application
In the using process of the flash memory firmware, the types of thread scheduling are improper, the number of threads is excessive, the access speed is too slow, and the operation of using the allocation interface driver is complex and difficult to popularize and use due to a large amount of parallel data processing.
In the prior art, the technical problems of mismatching of threads, thread numbers and access speed of the flash firmware and the running efficiency of the flash firmware exist.
Aiming at the technical problems, the technical scheme provided by the application has the following overall thought:
the application provides a flash firmware starting method, wherein the method is applied to first flash equipment, the equipment comprises first flash firmware, and the method comprises the following steps: when a first connection signal is detected, starting flow extraction is carried out on the first flash memory firmware, and first starting flow information is generated, wherein the first starting flow information comprises multi-level starting node information; traversing the multi-level starting node information to extract starting parameters and generating a first starting parameter set; carrying out serialization adjustment on the first starting parameters based on starting time sequence information to generate a first serialization adjustment result; traversing the first serialization adjustment result to perform starting performance analysis, and generating first starting speed information and first response time information; generating a first optimization instruction when the first starting speed information does not meet a first preset requirement and/or the first response time information does not meet a second preset requirement; according to the first optimization instruction, performing optimization analysis on the first starting parameter based on the starting time sequence information to generate a first optimization result; and performing flash firmware starting control according to the first optimization result.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Example 1
As shown in fig. 1, the present application provides a method for starting up flash firmware, where the method is applied to a first flash device, the device includes a first flash firmware, and the method includes:
s100: when a first connection signal is detected, starting flow extraction is carried out on the first flash memory firmware, and first starting flow information is generated, wherein the first starting flow information comprises multi-level starting node information;
specifically, the first connection signal may be a start signal of the first flash firmware, the start signal extracts a start flow of the first flash firmware, and generates first start flow information, where each time the first flash firmware is started, there are different threads, thread numbers, access speeds, or other related start parameters, the first start flow information is real-time thread, thread numbers, access speeds, or other related start parameter flow information at the time of starting the first flash firmware, the first start flow information includes multi-level start node information, and the start node information may include a start address determined by the first flash firmware when the first flash firmware is accessed to the first connection signal.
Further specifically, the level starting information of the multi-level starting node information needs to be specifically determined in combination with an operation running instruction set of the first flash memory device, and illustratively, the level of the flash memory firmware may be a Bulk-Only transmission layer, a flash memory read-write layer or other types of levels, where the Bulk-Only transmission layer includes processing of various device requests and processing of data transmission between the host and the device; the flash memory read-write layer is also the bottommost layer of the program, comprises read-write operation of the flash memory, and specifically determines the starting flow of the first flash memory firmware and the multi-level starting node information, thereby ensuring the address skip operation of the read-write operation of the flash memory device.
S200: traversing the multi-level starting node information to extract starting parameters and generating a first starting parameter set;
specifically, the multi-level starting node information is traversed by combining the operation running instruction set information of the first flash memory device to extract starting parameters, the first starting parameter set represents threads, thread numbers and access speeds which need to be called and are used for controlling the flash memory hardware to start corresponding program codes in each level, the data distribution of the first starting parameter set has a sequence, the sequence corresponds to the operation running instruction set of the first flash memory device, and the first starting parameter set is the data information of the starting process of the first flash memory device and provides a data basis for subsequent data processing.
S300: carrying out serialization adjustment on the first starting parameters based on starting time sequence information to generate a first serialization adjustment result;
s400: traversing the first serialization adjustment result to perform starting performance analysis, and generating first starting speed information and first response time information;
specifically, the starting time sequence information includes equipment operation preparation in the starting process of the first flash memory equipment, and specifically, actual description is carried out in combination with peripheral equipment, usually, the data reading process includes retrieval jump of address information, conversion display of data information or other relevant data reading preparation, the actual execution process may include execution of parallel tasks, no further analysis is carried out here, the starting time sequence information is determined based on the time sequence of the operation instruction set information, the first starting parameters are subjected to serialization adjustment based on the starting time sequence information, the data distribution condition of the first starting parameters can be adjusted by the serialization adjustment, and a first serialization adjustment result is generated, wherein the first serialization adjustment result is parameter information determined by starting the first flash memory firmware; and traversing the first serialization adjustment result to perform starting performance analysis, wherein the starting performance evaluation index can be starting speed and response time, limiting the actual performance analysis evaluation index, and generating first starting speed information and first response time information.
Further specifically, the serialization adjustment may adjust the data distribution condition of the first starting parameter, where the data of the first starting parameter may be threads, the number of threads, and the access speed, and specific corresponding adjustment is performed, the starting time sequence information may be combined with the sequence of data processing to arrange the threads of the first flash memory device, after determining the specific sequence of the threads, the number of threads corresponding to the starting operation step of the first flash memory device may be determined, and the access speed needs to be further determined by combining the threads, the number of threads, and the operation efficiency of the first flash memory device, which is not described herein.
S500: generating a first optimization instruction when the first starting speed information does not meet a first preset requirement and/or the first response time information does not meet a second preset requirement;
s600: according to the first optimization instruction, performing optimization analysis on the first starting parameter based on the starting time sequence information to generate a first optimization result;
s700: and performing flash firmware starting control according to the first optimization result.
Specifically, the first preset requirement is a preset standard of starting speed information, the second preset requirement is a preset standard of response time information, the preset standard can be a response time threshold and a starting speed threshold of the first flash memory device, starting parameters of the first flash memory device can be limited through the preset standard, after parameter optimization, data are appropriately and selectively adjusted according to user requirements, and when the first starting speed information meets the first preset requirement and the first response time information meets the second preset requirement, the first flash memory device does not need to be optimized; the first starting speed information does not meet a first preset requirement or the first response time information does not meet a second preset requirement, and a first optimization instruction is generated; the first starting speed information does not meet a first preset requirement, the first response time information does not meet a second preset requirement, and a first optimization instruction is generated; and carrying out optimization analysis on the first starting parameters based on the starting time sequence information according to the first optimization instruction to generate a first optimization result, wherein the first optimization result comprises a control instruction which can control the starting of the first flash firmware.
Further, as shown in fig. 2, the step S400 further includes:
s410: setting a first performance evaluation index, wherein the first performance evaluation index comprises starting speed information and response time information;
s420: traversing the first serialization adjustment result to perform association analysis according to the starting speed information to obtain the first starting speed information;
s430: and traversing the first serialization adjustment result to perform association analysis according to the response time information to obtain the first response time information.
Specifically, a first performance evaluation index is set, wherein the first performance evaluation index comprises starting speed information and response time information, the first performance evaluation index is not unique, the first performance evaluation index is specifically corresponding to an equipment starting parameter of the first flash firmware, and the first performance evaluation index can be a thread scheduling type, a thread number or an access speed; traversing the first serialization adjustment result to perform association analysis according to the starting speed information, and acquiring the correlation between the starting speed information and the first serialization adjustment result based on the association analysis to obtain the first starting speed information; traversing the first serialization adjustment result to perform association analysis according to the response time information, and acquiring the correlation between the response time information and the first serialization adjustment result based on the association analysis to obtain the first response time information.
Further specifically, the first performance evaluation index may be a thread scheduling type, a thread number or an access speed, and further described with reference to an example, the actual running of the first flash firmware may have a large number of parallel tasks, so that the starting process of the first flash firmware is not matched with the thread scheduling type, and the starting performance of the first flash firmware is degraded; the number of threads is too large, so that the starting flow of the first flash firmware is slow, and the starting performance of the first flash firmware is poor; and the access speed is low, so that the operation efficiency of the starting process of the first flash firmware is reduced, and the starting performance of the first flash firmware is deteriorated.
Further, the step S420 further includes:
s421: collecting first association analysis data according to the first flash firmware, wherein the first association analysis data comprises starting speed historical data and starting parameter historical data;
s422: setting the starting speed history data as a first reference sequence;
S423: setting the starting parameter historical data as a first comparison sequence;
s424: performing dimension processing on the first reference sequence and the first comparison sequence to generate a second reference sequence and a second comparison sequence;
s425: generating a first association coefficient set according to the second reference sequence and the second comparison sequence;
s426: generating a first association degree set according to the first association coefficient set;
s427: and traversing the first serialization adjustment result according to the first association degree set to generate the first starting speed information.
Specifically, in order to more accurately determine the correlation between the starting speed and the starting parameter, the correlation between the response time and the starting parameter is preferably determined through gray correlation analysis, and the gray correlation analysis is usually used for analyzing the correlation between nonlinear data, and the process is exemplified by the correlation between the starting speed and the starting parameter without limitation: acquiring starting speed information and starting parameter information of the flash memory firmware of the same type as the first flash memory firmware based on big data according to the first flash memory firmware, and determining the starting speed information and the starting parameter information as first association analysis data, wherein the first association analysis data comprises starting speed historical data and starting parameter historical data; setting the starting speed historical data as a first reference sequence, wherein common, different operation instructions correspond to different thread type scheduling and thread numbers of the first flash memory firmware, and the different thread type scheduling and thread numbers can cause different access speeds; setting the starting parameter historical data as a first comparison array, wherein the starting parameter historical data are different in the actual use process of different flash firmware possibly due to the processing technology or other related problems; performing dimension processing on the first reference sequence and the first comparison sequence to generate a second reference sequence and a second comparison sequence; according to the second reference sequence and the second comparison sequence, the dimension processing combines a similarity criterion and is based on a second similarity theorem, wherein the similarity criterion and the second similarity theorem are conventional technical means, a first association coefficient set is generated, and specifically, an analysis process of each starting parameter in the first association coefficient set is an association coefficient between a starting parameter specific value corresponding to the second comparison sequence in a plurality of historical data and a starting speed determined by the second reference sequence; generating a first association degree set according to the first association coefficient set, wherein the association degree of each starting parameter of the first association degree set is an average value of a plurality of association coefficients; and traversing the first serialization adjustment result according to the first association degree set, generating the first starting speed information, determining historical parameter data for the actual starting process of the flash memory firmware, and performing traversing adjustment optimization on the first serialization adjustment result based on the historical parameter data to acquire the first starting speed information, so that the adaptability of the first starting speed information data is ensured. Further, the determining manner of the first response time information and the determining manner of the first starting speed information are completely the same, and are not described in detail herein.
Further, as shown in fig. 3, the step S427 further includes:
s4271; traversing the starting parameter historical data based on the starting speed historical data to generate a first association function set;
s4272; adjusting the first association function set according to the first association degree set to generate a second association function set;
s4273; and traversing the first serialization adjustment result, inputting the first starting parameter into the second association function set, and generating the first starting speed information.
Specifically, based on the starting speed historical data, traversing the starting parameter historical data to generate a first association function set, wherein generally, different association functions correspond to different starting parameters and starting speeds, and traversing the association functions to obtain the first association function set; adjusting the first association function set according to the first association degree set to generate a second association function set, wherein different starting parameters and starting speeds correspond to different association degrees, and weight distribution is carried out on output values of the association functions according to the association degrees; and traversing the first serialization adjustment result, inputting the first starting parameters into the second association function set to generate the first starting speed information, solving a weighted average of the weight distribution results to obtain starting speeds, performing traversing calculation on the data to obtain starting speed information at a plurality of moments, and adjusting the data by combining correlation analysis between the data and a corresponding function relation between the data to ensure the effectiveness of the starting speed information.
Further specifically, the weight allocation may be performed based on the association degree data, where different starting parameters and starting speeds correspond to different association degrees, a sum of the different association degrees is determined as a denominator, one of the different association degrees is determined as a numerator, and the numerator and the denominator are determined as weight values of the weight allocation, and an actual operation is performed.
Further, the step S600 further includes performing an optimization analysis on the first start parameter based on the start timing to generate a first optimization result:
s610: obtaining a third association function set, wherein the third association function set characterizes a functional relation between a starting parameter and response time;
s620: obtaining a second association set, wherein the second association set characterizes an association coefficient between a starting parameter and response time;
s630: adjusting the third association function set according to the second association degree set to generate a fourth association function set;
s640: generating a first parameter optimization space according to the second association function set and the fourth association function set, wherein the first parameter optimization space dimension is the same as the first starting parameter dimension;
S650: based on the start timing, matching a first start speed threshold and a first response time threshold;
s660: and inputting the first starting speed threshold and the first response time threshold into the first parameter optimization space to generate the first optimization result.
Specifically, a third association function set is obtained, wherein the third association function set characterizes a functional relation between a starting parameter and response time, and the starting parameter of the first flash firmware commonly comprises parameter data with multiple dimensions, and the parameter data comprises, but is not limited to, threads, thread numbers and access speed; obtaining a second association set, wherein the second association set characterizes an association coefficient between a starting parameter and response time; the third association function set is adjusted according to the second association degree set, a fourth association function set is generated, different association functions correspond to different relation formulas of starting parameters and response time, and also correspond to different association degrees, and weight distribution is carried out on output values of the association functions according to the association degrees; generating a first parameter optimization space according to the second association function set and the fourth association function set, wherein the first parameter optimization space dimension is the same as the first starting parameter dimension; based on the starting time sequence, matching a first starting speed threshold value and a first response time threshold value, wherein generally, each moment has a corresponding starting speed threshold value and response time threshold value; and inputting the first starting speed threshold and the first response time threshold into the first parameter optimization space to generate the first optimization result.
Further, the generating a first parameter optimization space according to the second association function set and the fourth association function set, step S640 further includes:
s641: inputting the starting parameter historical data into the second association function set to generate a first space particle set;
s642: inputting the starting parameter historical data into the fourth association function set to generate a second space particle set;
s643: constructing a first parameter optimization subspace according to the first space particle set;
s644: constructing a second parameter optimization subspace according to the second space particle set;
s645: and merging the first parameter optimization subspace and the second parameter optimization subspace to generate the first parameter optimization space.
Specifically, the starting parameter historical data is input into the second association function set to generate a first space particle set, different starting parameters are input into the association function set, and then the weighted average is obtained, so that the corresponding starting speed and starting parameter set are obtained; inputting the starting parameter historical data into the fourth association function set to generate a second space particle set, wherein the dimensions of different starting parameter indexes are the same as the parameter dimensions of the fourth association function set; constructing a first parameter optimization subspace according to the first space particle set; constructing a second parameter optimization subspace according to the second space particle set; and merging the first parameter optimization subspace and the second parameter optimization subspace, wherein the space merging combines the corresponding starting parameter history data of the first parameter optimization subspace and the second parameter optimization subspace to perform space merging, so as to generate the first parameter optimization space.
More specifically, after different starting parameters are input into a correlation function set, a starting speed and a starting parameter set corresponding to the starting speed are obtained, the sum of weight values corresponding to the weighted averages is 1, correlation analysis is carried out on the starting parameters and the starting speed, the correlation degree is determined, the correlation degree corresponding to the parameters with larger influence on the starting speed in the starting parameters is high, the correlation degree corresponding to the parameters with smaller influence on the starting speed in the starting parameters is low, the sum of all the correlations determined by the starting parameters related to the starting speed is taken as a denominator, a certain correlation degree is taken as a molecule, the ratio data determined by the denominator and the molecule is determined as a weight value corresponding to a certain correlation degree, and after successive operation, the results are added to obtain the weighted average.
Further, as shown in fig. 4, the present application further includes:
s6451: setting the growth direction of a first particle set according to the second association function set;
s6452: setting a second particle set growth direction according to the fourth correlation function set, wherein the first particle set growth direction is the same as the second particle set growth direction and the unit length is the same;
S6453: generating a first cutting direction, wherein the first cutting direction and the particle set growth direction are perpendicular to each other;
s6454: generating the first parameter optimization subspace based on the first particle set growth direction and the first cutting direction;
s6455: the second parameter optimization subspace is generated based on the second particle set growth direction and the first cutting direction.
Specifically, according to the second association function set, setting the growth direction of the first particle set, ensuring that along with the change of the starting parameter, the starting speed increases in a certain direction in the space, wherein the direction is uniquely determined for the starting parameter of the same second association function set, carrying out direction vector synthesis on a plurality of directions, and determining the certain direction in the space; setting a second particle set growth direction according to the fourth correlation function set, wherein the first particle set growth direction is the same as the second particle set growth direction and the unit length is the same, namely the starting speed and the response time corresponding to starting parameters with the same variation degree; generating a first cutting direction, wherein the first cutting direction and the particle set growth direction are mutually perpendicular, starting parameters of the particle growth set corresponding to longitudinal changes correspond to different starting speeds and response times in a longitudinal view, the transverse direction is the cutting direction, the transverse direction is the same starting speed or response time and corresponds to all starting parameter values, and the two directions are perpendicular; generating the first parameter optimization subspace based on the first particle set growth direction and the first cutting direction; based on the second particle set growth direction and the first cutting direction, the second parameter optimization subspace is generated, when the first starting speed threshold and the first response time threshold are input into the optimization space, the interval can be divided, and then the intersection can be taken at each moment, namely, a starting parameter set meeting the difference of the starting speed and the response time can be obtained.
Further specifically, the first starting speed threshold is input into the first parameter optimization space, and the determined starting parameter set can be determined as a first parameter interval; the first response time threshold is input into the first parameter optimization space, and the determined starting parameter set can be determined to be a second parameter interval. If the first parameter interval and the second parameter interval have an intersection, the intersection of the first parameter interval and the second parameter interval is the first optimization result; if the first parameter interval and the second parameter interval have no intersection, the distance between the first parameter interval and the second parameter interval is sent to a professional, and the first response time threshold or the first starting speed threshold is properly optimized and adjusted.
In summary, the method and system for starting flash firmware provided by the present application have the following technical effects:
1. because the first connection signal is detected, the first flash firmware is subjected to starting flow extraction to generate first starting flow information, wherein the first starting flow information comprises multi-level starting node information; traversing the multi-level starting node information to extract starting parameters and generating a first starting parameter set; carrying out serialization adjustment on the first starting parameters based on the starting time sequence information to generate a first serialization adjustment result; traversing the first serialization adjustment result to perform starting performance analysis, and generating first starting speed information and first response time information; when the first starting speed information does not meet the first preset requirement and/or the first response time information does not meet the second preset requirement, generating a first optimization instruction; according to the first optimization instruction, performing optimization analysis on the first starting parameters based on the starting time sequence information to generate a first optimization result; and performing flash firmware starting control according to the first optimization result. The method and the system for starting the flash firmware solve the technical problem that threads, the number of threads and the access speed of the flash firmware are not matched with the operation efficiency of the flash firmware, optimize and adjust starting parameters, reduce the number of threads, improve the access speed, achieve the technical effects that the threads, the number of threads and the access speed are adaptively matched with the operation efficiency of the flash firmware, further improve the starting speed of the flash firmware, and reduce response time.
2. Because the first flash memory firmware is adopted, the first association analysis data is collected, wherein the first association analysis data comprises starting speed historical data and starting parameter historical data; setting the starting speed history data as a first reference sequence; setting the starting parameter historical data as a first comparison sequence; performing dimension processing on the first reference sequence and the first comparison sequence to generate a second reference sequence and a second comparison sequence; generating a first association coefficient set according to the second reference sequence and the second comparison sequence; generating a first association degree set according to the first association coefficient set; and traversing the first serialization adjustment result according to the first association degree set to generate first starting speed information. And performing traversal adjustment optimization on the first serialization adjustment result based on the historical parameter data to acquire first starting speed information, so that the adaptability of the first starting speed information data is ensured.
3. Because the starting speed history data is adopted, the starting parameter history data is traversed, and a first association function set is generated; adjusting the first association function set according to the first association degree set to generate a second association function set; and traversing the first serialization adjustment result, inputting a first starting parameter into a second association function set, and generating first starting speed information. And the data is adjusted by combining the correlation analysis between the data and the corresponding functional relation between the data, so that the effectiveness of the starting speed information is ensured.
4. Setting the growth direction of the first particle set due to the adoption of the second association function set; setting a second particle set growth direction according to the fourth correlation function set, wherein the first particle set growth direction is the same as the second particle set growth direction and the unit length is the same; generating a first cutting direction, wherein the first cutting direction and the particle set growth direction are mutually perpendicular; generating a first parameter optimization subspace based on the first particle set growth direction and the first cutting direction; a second parameter optimization subspace is generated based on the second particle set growth direction and the first cutting direction. The method provides a basis for acquiring different starting parameter sets, and provides support for a self-defined starting speed threshold and a response time threshold for realizing the starting of the flash firmware.
Example two
Based on the same inventive concept as the method for starting up the flash firmware in the foregoing embodiment, as shown in fig. 5, the present application provides a flash firmware starting system, where the system is applied to a first flash device, the device includes a first flash firmware, and the system includes:
the first generating unit 11 is configured to extract a boot flow of the first flash firmware when the first connection signal is detected, and generate first boot flow information, where the first boot flow information includes multi-level boot node information;
A second generating unit 12, where the second generating unit 12 is configured to extract a startup parameter by traversing the multi-level startup node information, and generate a first startup parameter set;
a third generating unit 13, where the third generating unit 13 is configured to perform a serialization adjustment on the first start parameter based on start timing information, and generate a first serialization adjustment result;
a fourth generating unit 14, where the fourth generating unit 14 is configured to traverse the first serialized adjustment result to perform startup performance analysis, and generate first startup speed information and first response time information;
a fifth generating unit 15, where the fifth generating unit 15 is configured to generate a first optimization instruction when the first starting speed information does not meet a first preset requirement and/or the first response time information does not meet a second preset requirement;
a sixth generating unit 16, where the sixth generating unit 16 is configured to perform optimization analysis on the first start parameter based on the start timing information according to the first optimization instruction, and generate a first optimization result;
the first execution unit 17 is configured to perform flash firmware startup control according to the first optimization result by using the first execution unit 17.
Further, the system includes:
A first setting unit configured to set a first performance evaluation index, wherein the first performance evaluation index includes start-up speed information and response time information;
the first obtaining unit is used for traversing the first serialization adjustment result to perform association analysis according to the starting speed information to obtain the first starting speed information;
the second obtaining unit is used for traversing the first serialization adjustment result to perform association analysis according to the response time information to obtain the first response time information.
Further, the system includes:
the first acquisition unit is used for acquiring first association analysis data according to the first flash firmware, wherein the first association analysis data comprises starting speed historical data and starting parameter historical data;
a second setting unit configured to set the start-up speed history data as a first reference sequence;
the third setting unit is used for setting the starting parameter historical data into a first comparison number sequence;
a seventh generating unit, configured to perform dimension processing on the first reference sequence and the first comparison sequence, and generate a second reference sequence and a second comparison sequence;
An eighth generating unit, configured to generate a first association coefficient set according to the second reference sequence and the second comparison sequence;
a ninth generating unit, configured to generate a first association degree set according to the first association coefficient set;
and the tenth generation unit is used for traversing the first serialization adjustment result according to the first association degree set and generating the first starting speed information.
Further, the system includes:
an eleventh generating unit, configured to traverse the start parameter history data based on the start speed history data, and generate a first association function set;
a twelfth generating unit, configured to adjust the first association function set according to the first association degree set, and generate a second association function set;
and the thirteenth generating unit is used for traversing the first serialization adjustment result, inputting the first starting parameter into the second association function set and generating the first starting speed information.
Further, the system includes:
A third obtaining unit, configured to obtain a third set of association functions, where the third set of association functions characterizes a functional relationship between a start parameter and a response time;
a fourth obtaining unit, configured to obtain a second association degree set, where the second association degree set characterizes an association coefficient between a start parameter and a response time;
a fourteenth generating unit, configured to adjust the third association function set according to the second association degree set, and generate a fourth association function set;
a fifteenth generating unit, configured to generate a first parameter optimization space according to the second association function set and the fourth association function set, where the first parameter optimization space dimension is the same as the first starting parameter dimension;
a second execution unit for matching a first start-up speed threshold and a first response time threshold based on the start-up timing;
a sixteenth generating unit, configured to input the first start-up speed threshold and the first response time threshold into the first parameter optimization space, and generate the first optimization result.
Further, the system includes:
a seventeenth generating unit, configured to input the start parameter history data into the second association function set, and generate a first spatial particle set;
an eighteenth generating unit, configured to input the start parameter history data into the fourth association function set, and generate a second spatial particle set;
the first construction unit is used for constructing a first parameter optimization subspace according to the first space particle set;
the second construction unit is used for constructing a second parameter optimization subspace according to the second space particle set;
and the nineteenth generating unit is used for combining the first parameter optimization subspace and the second parameter optimization subspace to generate the first parameter optimization space.
Further, the system includes:
the fourth setting unit is used for setting the growth direction of the first particle set according to the second association function set;
a fifth setting unit, configured to set a second particle set growth direction according to the fourth association function set, where the first particle set growth direction is the same as the second particle set growth direction and the unit length is the same;
A twentieth generating unit configured to generate a first cutting direction, wherein the first cutting direction and the particle set growth direction are perpendicular to each other;
a twenty-first generation unit for generating the first parameter optimization subspace based on the first particle set growth direction and the first cutting direction;
a twenty-second generation unit for generating the second parameter optimization subspace based on the second particle set growth direction and the first cutting direction.
Exemplary electronic device
The electronic device of the present application is described below with reference to figure 6,
based on the same inventive concept as the method for starting the flash firmware in the foregoing embodiment, the present application further provides a flash firmware starting system, including: a processor coupled to a memory for storing a program that, when executed by the processor, causes the system to perform the method of any of the first aspects.
The electronic device 300 includes: a processor 302, a communication interface 303, a memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein the communication interface 303, the processor 302 and the memory 301 may be interconnected by a bus architecture 304; the bus architecture 304 may be an Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus architecture 304 may be divided into address buses, data buses, control buses, and the like. For ease of illustration, only one thick line is shown in fig. 6, but not only one bus or one type of bus.
Processor 302 may be a CPU, microprocessor, ASIC, or one or more integrated circuits for controlling the execution of the programs of the present application.
The communication interface 303 uses any transceiver-like means for communicating with other devices or communication networks, such as ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local area networks, WLAN), wired access network, etc.
The memory 301 may be, but is not limited to, ROM or other type of static storage device that may store static information and instructions, RAM or other type of dynamic storage device that may store information and instructions, or may be an EEPROM (electrically erasable Programmable read-only memory), a compact disc-only memory (CD-ROM) or other optical disk storage, optical disk storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor through bus architecture 304. The memory may also be integrated with the processor.
The memory 301 is used for storing computer-executable instructions for executing the embodiments of the present application, and is controlled by the processor 302 to execute the instructions. The processor 302 is configured to execute computer-executable instructions stored in the memory 301, thereby implementing a flash firmware boot method provided in the above embodiments of the present application.
Alternatively, the computer-executable instructions in the present application may be referred to as application code, which is not specifically limited in this application.
The application provides a flash firmware starting method, wherein the method is applied to first flash equipment, the equipment comprises first flash firmware, and the method comprises the following steps: when a first connection signal is detected, starting flow extraction is carried out on the first flash memory firmware, and first starting flow information is generated, wherein the first starting flow information comprises multi-level starting node information; traversing the multi-level starting node information to extract starting parameters and generating a first starting parameter set; carrying out serialization adjustment on the first starting parameters based on starting time sequence information to generate a first serialization adjustment result; traversing the first serialization adjustment result to perform starting performance analysis, and generating first starting speed information and first response time information; generating a first optimization instruction when the first starting speed information does not meet a first preset requirement and/or the first response time information does not meet a second preset requirement; according to the first optimization instruction, performing optimization analysis on the first starting parameter based on the starting time sequence information to generate a first optimization result; and performing flash firmware starting control according to the first optimization result.
Those of ordinary skill in the art will appreciate that: the various numbers of first, second, etc. referred to in this application are merely for ease of description and are not intended to limit the scope of this application nor to indicate any order. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any one," or the like, refers to any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one of a, b, or c (species ) may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired (e.g., coaxial cable, optical fiber, digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device including one or more servers, data centers, etc. that can be integrated with the available medium. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk (SolidStateDisk, SSD)), etc.
The various illustrative logical units and circuits described herein may be implemented or performed with a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the general purpose processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in the present application may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software elements may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. In an example, a storage medium may be coupled to the processor such that the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may reside in a terminal. In the alternative, the processor and the storage medium may reside in different components in a terminal. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
Although the present application has been described in connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the application. Accordingly, the specification and drawings are merely exemplary illustrations of the present application as defined in the appended claims and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the present application. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to include such modifications and variations.

Claims (10)

1. A method for booting a flash firmware, the method being applied to a first flash device, the device including the first flash firmware, the method comprising:
when a first connection signal is detected, starting flow extraction is carried out on the first flash memory firmware, and first starting flow information is generated, wherein the first starting flow information comprises multi-level starting node information;
traversing the multi-level starting node information to extract starting parameters, and generating a first starting parameter set, wherein the first starting parameter set represents threads, the number of threads and the access speed which need to be called for controlling the flash memory hardware to start corresponding program codes at each level;
performing serialization adjustment on the first starting parameter based on starting time sequence information to generate a first serialization adjustment result, wherein the serialization adjustment is used for adjusting the data distribution condition of the first starting parameter;
traversing the first serialization adjustment result to perform starting performance analysis, and generating first starting speed information and first response time information; generating a first optimization instruction when the first starting speed information does not meet a first preset requirement and/or the first response time information does not meet a second preset requirement;
According to the first optimization instruction, performing optimization analysis on the first starting parameter based on the starting time sequence information to generate a first optimization result;
and performing flash firmware starting control according to the first optimization result.
2. The method of claim 1, wherein traversing the first serialized adjustment results for initiation performance analysis generates first initiation speed information and first response time information, comprising:
setting a first performance evaluation index, wherein the first performance evaluation index comprises starting speed information and response time information;
traversing the first serialization adjustment result to perform association analysis according to the starting speed information to obtain the first starting speed information;
and traversing the first serialization adjustment result to perform association analysis according to the response time information to obtain the first response time information.
3. The method of claim 2, wherein traversing the first serialized adjustment result for association analysis based on the start-up speed information, obtaining the first start-up speed information, comprises:
collecting first association analysis data according to the first flash firmware, wherein the first association analysis data comprises starting speed historical data and starting parameter historical data;
Setting the starting speed history data as a first reference sequence;
setting the starting parameter historical data as a first comparison sequence;
performing dimension processing on the first reference sequence and the first comparison sequence to generate a second reference sequence and a second comparison sequence;
generating a first association coefficient set according to the second reference sequence and the second comparison sequence;
generating a first association degree set according to the first association coefficient set;
and traversing the first serialization adjustment result according to the first association degree set to generate the first starting speed information.
4. The method of claim 3, wherein traversing the first serialized adjustment result based on the first set of associations to generate the first start-up speed information comprises:
traversing the starting parameter historical data based on the starting speed historical data to generate a first association function set;
adjusting the first association function set according to the first association degree set to generate a second association function set;
and traversing the first serialization adjustment result, inputting the first starting parameter into the second association function set, and generating the first starting speed information.
5. The method of claim 4, wherein the optimizing the first start-up parameter based on the start-up timing to generate a first optimization result comprises:
obtaining a third association function set, wherein the third association function set characterizes a functional relation between a starting parameter and response time;
obtaining a second association set, wherein the second association set characterizes the association between the starting parameter and the response time;
adjusting the third association function set according to the second association degree set to generate a fourth association function set;
generating a first parameter optimization space according to the second association function set and the fourth association function set, wherein the first parameter optimization space dimension is the same as the first starting parameter dimension;
based on the start timing, matching a first start speed threshold and a first response time threshold;
and inputting the first starting speed threshold and the first response time threshold into the first parameter optimization space to generate the first optimization result.
6. The method of claim 5, wherein the generating a first parameter optimization space from the second set of correlation functions and the fourth set of correlation functions comprises:
Inputting the starting parameter historical data into the second association function set to generate a first space particle set;
inputting the starting parameter historical data into the fourth association function set to generate a second space particle set;
constructing a first parameter optimization subspace according to the first space particle set;
constructing a second parameter optimization subspace according to the second space particle set;
and merging the first parameter optimization subspace and the second parameter optimization subspace to generate the first parameter optimization space.
7. The method of claim 6, wherein the method comprises:
setting the growth direction of a first particle set according to the second association function set;
setting a second particle set growth direction according to the fourth correlation function set, wherein the first particle set growth direction is the same as the second particle set growth direction and the unit length is the same;
generating a first cutting direction, wherein the first cutting direction and the particle set growth direction are perpendicular to each other;
generating the first parameter optimization subspace based on the first particle set growth direction and the first cutting direction;
The second parameter optimization subspace is generated based on the second particle set growth direction and the first cutting direction.
8. A flash firmware boot system, the system being applied to a first flash device, the device comprising first flash firmware, the system comprising:
the first generation unit is used for extracting a starting flow of the first flash firmware when the first connection signal is detected, and generating first starting flow information, wherein the first starting flow information comprises multi-level starting node information;
the second generation unit is used for traversing the multi-level starting node information to extract starting parameters and generating a first starting parameter set, wherein the first starting parameter set represents threads, the number of threads and the access speed which need to be called for controlling the flash memory hardware to start corresponding program codes at each level;
the third generation unit is used for carrying out serialization adjustment on the first starting parameters based on starting time sequence information to generate a first serialization adjustment result, wherein the serialization adjustment is used for adjusting the data distribution condition of the first starting parameters;
The fourth generation unit is used for traversing the first serialization adjustment result to perform starting performance analysis and generating first starting speed information and first response time information;
a fifth generating unit, configured to generate a first optimization instruction when the first starting speed information does not meet a first preset requirement and/or the first response time information does not meet a second preset requirement;
the sixth generation unit is used for carrying out optimization analysis on the first starting parameters based on the starting time sequence information according to the first optimization instruction to generate a first optimization result;
and the first control unit is used for performing flash firmware starting control according to the first optimization result.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the program is executed.
10. A computer program product comprising a computer program and/or instructions which, when executed by a processor, implement the steps of the method of any one of claims 1 to 7.
CN202211525410.9A 2022-12-01 2022-12-01 Flash firmware starting method and system Active CN115543490B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211525410.9A CN115543490B (en) 2022-12-01 2022-12-01 Flash firmware starting method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211525410.9A CN115543490B (en) 2022-12-01 2022-12-01 Flash firmware starting method and system

Publications (2)

Publication Number Publication Date
CN115543490A CN115543490A (en) 2022-12-30
CN115543490B true CN115543490B (en) 2023-05-05

Family

ID=84722074

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211525410.9A Active CN115543490B (en) 2022-12-01 2022-12-01 Flash firmware starting method and system

Country Status (1)

Country Link
CN (1) CN115543490B (en)

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9110677B2 (en) * 2013-03-14 2015-08-18 Sandisk Technologies Inc. System and method for predicting and improving boot-up sequence
CN110262847B (en) * 2019-05-14 2022-05-20 百度(中国)有限公司 Application program starting acceleration method and device and machine-readable storage medium
CN113010291A (en) * 2021-03-19 2021-06-22 中国建设银行股份有限公司 Application start management method and device, terminal and equipment

Also Published As

Publication number Publication date
CN115543490A (en) 2022-12-30

Similar Documents

Publication Publication Date Title
CN107037980B (en) Method, medium, and computer system for storing time series data
US9529849B2 (en) Online hash based optimizer statistics gathering in a database
CN107463482B (en) Method and device for determining index relevance
US20190235849A1 (en) Technologies for translation cache management in binary translation systems
Yang et al. Implementing real-time RCF-Retinex image enhancement method using CUDA
CN113746798A (en) Cloud network shared resource abnormal root cause positioning method based on multi-dimensional analysis
CN112085175B (en) Data processing method and device based on neural network calculation
CN115543490B (en) Flash firmware starting method and system
WO2019161768A1 (en) Traffic abnormality detection
US20210294512A1 (en) Data storage method and apparatus, storage medium and computer device
US20210149985A1 (en) Method and apparatus for processing large-scale distributed matrix product
JP2005327138A (en) Data base server, program, recording medium, and control method
US11144443B2 (en) Optimization of workloads based on constraints
CN115879514A (en) Method and device for improving class correlation prediction, computer equipment and storage medium
US10318422B2 (en) Computer-readable recording medium storing information processing program, information processing apparatus, and information processing method
CN108874994A (en) A kind of piecemeal reads the method, apparatus and computer storage medium of data
CN110134575B (en) Method and device for calculating service capacity of server cluster
CN107122287B (en) System performance analysis method and device
CN112527482A (en) Task management method and system based on mobile edge cloud platform
CN112329715A (en) Face recognition method, device, equipment and storage medium
CN113157541A (en) Distributed database-oriented multi-concurrent OLAP (on-line analytical processing) type query performance prediction method and system
CN115114966B (en) Method, device and equipment for determining operation strategy of model and storage medium
CN114081396B (en) Map data reporting method and device of sweeper, storage medium and electronic equipment
CN112861951B (en) Image neural network parameter determining method and electronic equipment
CN112882854B (en) Method and device for processing request exception

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant