CN111309387B - Method and device for loading drive, electronic equipment and storage medium - Google Patents
Method and device for loading drive, electronic equipment and storage medium Download PDFInfo
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- CN111309387B CN111309387B CN202010075835.9A CN202010075835A CN111309387B CN 111309387 B CN111309387 B CN 111309387B CN 202010075835 A CN202010075835 A CN 202010075835A CN 111309387 B CN111309387 B CN 111309387B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/4401—Bootstrapping
- G06F9/4411—Configuring for operating with peripheral devices; Loading of device drivers
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The embodiment of the application provides a method and a device for loading a drive, electronic equipment and a storage medium, which are applied to a cloud computing platform, wherein the method comprises the following steps: when detecting that a target instance is started for the first time, acquiring a driving data packet aiming at the target instance; wherein, the example mirror image corresponding to the target example is pre-provided with related components except for a driver; determining a target drive file matched with the target instance from the drive data packet; wherein the driver data package comprises one or more driver files; and adopting the target drive file to carry out drive loading. Through the embodiment of the application, the adaptive drive is automatically loaded, and due to the fact that the related components are preassembled, the time for downloading and installing the drive and the components is shortened, and the failure rate of installation is reduced.
Description
Technical Field
The present application relates to the field of cloud computing, and in particular, to a method and an apparatus for driver loading, an electronic device, and a storage medium.
Background
With the development of science and technology, cloud computing platforms are becoming mature, the instances and specifications of OS (Operating System) and acceleration hardware supported by the cloud computing platforms are increasing, and especially with the rapid development of mainstream GPU parallel computing services such as artificial intelligence and GPU (Graphics Processing Unit) rendering, scenes requiring GPU acceleration are becoming richer and richer.
In different scenes, different drivers need to be loaded to normally work, when an instance for acceleration hardware is purchased, such as a GPU instance, the driver cannot be pre-installed, and if the driver and the component are downloaded and installed after the instance is started, much time is required to affect normal operation of a service, and if a user logs into the instance for operation in the middle of the period, installation failure may be caused.
Disclosure of Invention
In view of the above problems, it is proposed to provide a method and apparatus for loading a driver, an electronic device, and a storage medium, which overcome the above problems or at least partially solve the above problems, including:
a method for driving loading is applied to a cloud computing platform and comprises the following steps:
when detecting that a target instance is started for the first time, acquiring a driving data packet aiming at the target instance; wherein, the example mirror image corresponding to the target example is pre-provided with related components except for a driver;
determining a target drive file matched with the target instance from the drive data packet; wherein the driver data package comprises one or more driver files;
and adopting the target drive file to carry out drive loading.
Optionally, before the step of acquiring a driving data packet for a target instance when the target instance is detected to be started for the first time, the method includes:
acquiring an instance mirror image for target acceleration hardware;
and adopting the instance mirror image to create a target instance aiming at the target acceleration hardware.
Optionally, the step of determining, from the driver data package, a target driver file matching the target instance includes:
determining attribute information associated with the target instance;
and determining a target drive file matched with the target instance by adopting the attribute information.
Optionally, the attribute information includes:
the system attribute information of an operating system in a virtual machine where the target instance is located, and/or the hardware attribute information of target acceleration hardware for which the target instance is directed.
Optionally, when there are a plurality of driver files, the driver data packet is an RPM packet.
Optionally, the target acceleration hardware is a GPU and the target instance is a GPU instance.
Optionally, the relevant components include any one or more of:
CUDA components, tensorFlow components.
A device for driving loading is applied to a cloud computing platform and comprises:
the device comprises a driving data packet acquisition module, a data packet storage module and a data packet processing module, wherein the driving data packet acquisition module is used for acquiring a driving data packet aiming at a target instance when the target instance is detected to be started for the first time; wherein, the example mirror image corresponding to the target example is pre-provided with related components except for a driver;
the target drive file determining module is used for determining a target drive file matched with the target instance from the drive data packet; wherein the driver data package comprises one or more driver files;
and the drive loading module is used for carrying out drive loading by adopting the target drive file.
Optionally, comprising:
the instance mirror image acquisition module is used for acquiring an instance mirror image aiming at the target acceleration hardware;
and the target instance creating module is used for creating a target instance aiming at the target acceleration hardware by adopting the instance mirror.
Optionally, the target driver file determining module includes:
an attribute information determination submodule for determining attribute information associated with the target instance;
and the attribute determination driving sub-module is used for determining a target driving file matched with the target instance by adopting the attribute information.
Optionally, the attribute information includes:
the system attribute information of an operating system in a virtual machine where the target instance is located, and/or the hardware attribute information of target acceleration hardware for which the target instance is directed.
Optionally, when there are a plurality of driver files, the driver data packet is an RPM packet.
Optionally, the target acceleration hardware is a GPU and the target instance is a GPU instance.
Optionally, the relevant components include any one or more of:
CUDA components, tensorFlow components.
An electronic device comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, the computer program, when executed by the processor, implementing the steps of the method of driver loading as described above.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of driving a load as described above.
The embodiment of the application has the following advantages:
in the embodiment of the application, when the target instance is detected to be started for the first time, the drive data packet for the target instance is acquired, the instance mirror image corresponding to the target instance is pre-loaded with related components except for the drive, then the target drive file matched with the target instance can be determined from the drive data packet, and further the drive loading can be carried out by adopting the target drive file, so that the drive for automatic loading adaptation is realized, and due to the pre-loading of the related components, the downloading and installing time of the drive and the components is reduced, and the failure rate of installation is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings needed to be used in the description of the present application will be briefly introduced below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
FIG. 1 is a flowchart illustrating steps of a method for loading a driver according to an embodiment of the present application;
FIG. 2 is a flowchart illustrating steps of another method for loading drivers according to an embodiment of the present application;
FIG. 3a is a diagram illustrating a driver loading of an example GPU according to an embodiment of the present disclosure;
FIG. 3b is a diagram illustrating driver loading for another example GPU according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a device for driving loading according to an embodiment of the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
Referring to fig. 1, a flowchart illustrating steps of a method for driver loading according to an embodiment of the present application is shown, where the method may be applied to a cloud computing platform, and specifically may include the following steps:
as an example, the target instance may be a GPU instance, which may pass the physical GPU through to a VM (Virtual machine) instance.
The dependent components may be components for a GPU instance, which may include any one or more of:
a CUDA (computer Unified Device Architecture) component, a TensorFlow component.
In practical application, an instance image can be adopted to create a target instance for a VM instance, and since the normal operation of the target instance requires loading of drivers and related components, and the drivers required by the target instance in different environments are different, the related components except the drivers can be pre-installed in the manufacturing process of the instance image.
When the target instance is detected to be started for the first time, the drive data packet aiming at the target instance can be downloaded through the automatic installation script, due to the fact that the related components are pre-installed, the service environment deployment can be completed quickly only by downloading the kernel drive module, installation time is reduced to millisecond level from the existing 5-10 minutes, the perception of a user is completely avoided, and user experience is greatly improved.
after the drive data packet is obtained, because the drives required by the target instance in different environments are different, the related configuration can be read, and then the target drive file matched with the target instance is determined from the drive data packet, so that the automatic adaptation of the drive can be realized.
And 103, adopting the target drive file to carry out drive loading.
After the target drive file is obtained, the target drive file can be adopted to carry out drive loading on the target instance, and instance environment deployment is completed quickly, so that the target instance can run normally.
In the embodiment of the application, when the target instance is detected to be started for the first time, the drive data packet for the target instance is acquired, the instance mirror image corresponding to the target instance is pre-loaded with related components except for the drive, then the target drive file matched with the target instance can be determined from the drive data packet, and further the drive loading can be carried out by adopting the target drive file, so that the drive for automatic loading adaptation is realized, and due to the pre-loading of the related components, the downloading and installing time of the drive and the components is reduced, and the failure rate of installation is reduced.
Referring to fig. 2, a flowchart illustrating steps of another method for driver loading according to an embodiment of the present application is shown, where the method may be applied to a cloud computing platform, and specifically may include the following steps:
as an example, the target acceleration hardware may be a GPU.
Because the driver and the related components need to be loaded during the normal operation of the GPU instance, and the drivers required by the GPU instance in different environments are different, the related components except the driver can be pre-installed in the manufacturing process of the instance mirror image, so that the instance mirror image with the related components can be newly added in the mirror image market of the selling interface of the GPU instance for the user to choose when purchasing.
after obtaining the instance image, the instance image may be employed to create a target instance for the target acceleration hardware, e.g., a physical GPU may be passed through to a VM instance by creating a GPU instance.
Step 203, when detecting that a target instance is started for the first time, acquiring a driving data packet for the target instance; wherein, the example mirror image corresponding to the target example is pre-provided with related components except for a driver;
when the target instance is detected to be started for the first time, the driving data packet aiming at the target instance can be downloaded through the automatic installation script in the target instance, due to the fact that the related components are preassembled, the service environment deployment can be completed rapidly only by downloading the kernel driving module, installation time is reduced to millisecond level from existing 5-10 minutes, no perception of a user is achieved completely, and user experience is greatly improved.
after the drive data packet is obtained, because the drives required by the target instance in different environments are different, the related configuration can be read, and then the target drive file matched with the target instance is determined from the drive data packet, so that the automatic adaptation of the drive can be realized.
Specifically, the driver data package may include a single driver file, or may include a plurality of driver files, when there are a plurality of driver files, the plurality of driver files may be GPU driver files supported by the cloud computing platform and GPU driver files required by different types of OS, and the driver data package may be an RPM package.
As shown in fig. 3a, RPM packets of kernel driver modules corresponding to respective versions may be stored in an OSS (Object Storage Service) server in advance, and after obtaining the RPM packets from the OSS server, an RPM packet installation action may be performed using an automatic installation script, and an internal script of the RPM packet may further match a target driver file of a target instance by reading a relevant configuration.
In an embodiment of the present application, step 204 may include the following sub-steps:
determining attribute information associated with the target instance; and determining a target drive file matched with the target instance by adopting the attribute information.
Wherein, the attribute information may include:
the system attribute information of an operating system in a virtual machine where the target instance is located, and/or the hardware attribute information of target acceleration hardware for which the target instance is directed.
As an example, the system attribute information may be version information of an operating system, and the hardware attribute information may be version information of target acceleration hardware.
In a specific implementation, attribute information associated with a target instance may be determined, and after the attribute information is obtained, a target driver file matched with the target instance may be determined from a driver data packet by using the attribute information, so as to implement automatic selection of a required driver for different environments.
And step 205, adopting the target drive file to carry out drive loading.
After the target drive file is obtained, the target drive file can be adopted to carry out drive loading on the target instance, and instance environment deployment is completed quickly, so that the target instance can run normally.
The driver loading process for the GPU instance is illustrated below in conjunction with fig. 3 b:
1. at the beginning, a GPU instance is created;
2. selecting a mirror image with GPU drive and components in a mirror image duration;
3. running an automatic installation script after the example is started;
4. downloading a driving module RPM packet from an OSS;
5. automatically installing a script and installing an RPM (revolution speed) packet;
6. and when the installation is normally finished, finishing the installation, and if the installation is not normally finished, uploading the abnormal information to the management and control.
In the embodiment of the application, when the target instance is detected to be started for the first time, the driving data packet for the target instance is obtained, the instance image corresponding to the target instance is pre-installed with the related components except the driver, then the target driving file matched with the target instance can be determined from the driving data packet, and further the target driving file can be adopted for driving and loading, so that the adaptive driver is automatically loaded, and due to the fact that the related components are pre-installed, the downloading and installing time of the driver and the components is shortened, and the failure rate of installation is reduced.
It should be noted that for simplicity of description, the method embodiments are described as a series of acts, but those skilled in the art should understand that the embodiments are not limited by the described order of acts, as some steps can be performed in other orders or simultaneously according to the embodiments. Further, those skilled in the art will also appreciate that the embodiments described in the specification are presently preferred and that no particular act is required of the embodiments of the application.
Referring to fig. 4, a schematic structural diagram of a device for driver loading according to an embodiment of the present application is shown, where the device may be applied to a cloud computing platform, and specifically may include the following modules:
a driving data packet obtaining module 401, configured to obtain a driving data packet for a target instance when it is detected that the target instance is started for the first time; wherein, the example mirror image corresponding to the target example is pre-provided with related components except for a driver;
a target driver file determining module 402, configured to determine, from the driver data packet, a target driver file matching the target instance; wherein the driver data package comprises one or more driver files;
and a driver loading module 403, configured to perform driver loading by using the target driver file.
In an embodiment of the present application, the method includes:
the instance mirror image acquisition module is used for acquiring an instance mirror image aiming at the target acceleration hardware;
and the target instance creating module is used for creating a target instance aiming at the target acceleration hardware by adopting the instance mirror.
In an embodiment of the present application, the target driver file determining module includes:
the attribute information determining submodule is used for determining attribute information associated with the target instance;
and the attribute determining driving submodule is used for determining a target driving file matched with the target instance by adopting the attribute information.
In an embodiment of the present application, the attribute information includes:
the system attribute information of an operating system in a virtual machine where the target instance is located, and/or the hardware attribute information of target acceleration hardware for which the target instance is directed.
In an embodiment of the present application, when there are a plurality of driver files, the driver data packet is an RPM packet.
In an embodiment of the application, the target acceleration hardware is a GPU and the target instance is a GPU instance.
In an embodiment of the application, the related components include any one or more of:
CUDA components, tensorFlow components.
In the embodiment of the application, when the target instance is detected to be started for the first time, the drive data packet for the target instance is acquired, the instance mirror image corresponding to the target instance is pre-loaded with related components except for the drive, then the target drive file matched with the target instance can be determined from the drive data packet, and further the drive loading can be carried out by adopting the target drive file, so that the drive for automatic loading adaptation is realized, and due to the pre-loading of the related components, the downloading and installing time of the drive and the components is reduced, and the failure rate of installation is reduced.
An embodiment of the present application also provides an electronic device, which may include a processor, a memory, and a computer program stored on the memory and capable of running on the processor, and when the computer program is executed by the processor, the steps of the method for driving loading are implemented.
An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the method for driving loading as above.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means 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 stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function 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 terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal 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 application have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the true scope of the embodiments of the application.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "include", "including" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or terminal device including a series of elements includes not only those elements but also other elements not explicitly listed or inherent to such process, method, article, or terminal device. Without further limitation, an element defined by the phrases "comprising one of ...does not exclude the presence of additional like elements in a process, method, article, or terminal device that comprises the element.
The method and apparatus for driver loading, the electronic device, and the storage medium provided above are introduced in detail, and a specific example is applied in this document to explain the principle and the implementation of the present application, and the description of the above embodiment is only used to help understand the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (14)
1. A method for driving loading is applied to a cloud computing platform and comprises the following steps:
when detecting that a target instance is started for the first time, acquiring a driving data packet aiming at the target instance; wherein, the example mirror image corresponding to the target example is pre-provided with related components except for a driver;
determining a target drive file matched with the target instance from the drive data packet; wherein the driver data package comprises one or more driver files;
adopting the target drive file to carry out drive loading;
wherein, before the step of acquiring the driving data packet for the target instance when the target instance is detected to be started for the first time, the method comprises the following steps:
acquiring an instance mirror image for target acceleration hardware;
and adopting the instance mirror image to create a target instance aiming at the target acceleration hardware.
2. The method of claim 1, the step of determining, from the driver package, a target driver file that matches the target instance comprising:
determining attribute information associated with the target instance;
and determining a target drive file matched with the target instance by adopting the attribute information.
3. The method of claim 2, the attribute information comprising:
the system attribute information of an operating system in a virtual machine where the target instance is located, and/or the hardware attribute information of target acceleration hardware for which the target instance is directed.
4. The method of claim 1, wherein the driver data packet is an RPM packet when a plurality of driver files are present.
5. The method of claim 1, the target acceleration hardware being a GPU, the target instance being a GPU instance.
6. The method of claim 5, the related components comprising any one or more of:
CUDA components, tensorFlow components.
7. A device for driving loading is applied to a cloud computing platform and comprises:
the device comprises a driving data packet acquisition module, a data packet storage module and a data packet processing module, wherein the driving data packet acquisition module is used for acquiring a driving data packet aiming at a target instance when the target instance is detected to be started for the first time; wherein, the example mirror image corresponding to the target example is pre-provided with related components except for a driver;
the target drive file determining module is used for determining a target drive file matched with the target instance from the drive data packet; wherein the driver data package comprises one or more driver files;
the drive loading module is used for adopting the target drive file to carry out drive loading;
wherein, include:
the instance mirror image acquisition module is used for acquiring an instance mirror image aiming at the target acceleration hardware;
and the target instance creating module is used for creating a target instance aiming at the target acceleration hardware by adopting the instance mirror.
8. The apparatus of claim 7, the target driver file determination module comprising:
an attribute information determination submodule for determining attribute information associated with the target instance;
and the attribute determining driving submodule is used for determining a target driving file matched with the target instance by adopting the attribute information.
9. The apparatus of claim 8, the attribute information comprising:
the system attribute information of an operating system in a virtual machine where the target instance is located, and/or the hardware attribute information of target acceleration hardware for which the target instance is directed.
10. The apparatus of claim 7, the driver data packet being an RPM packet when there are multiple driver files.
11. The device of claim 7, the target acceleration hardware being a GPU, the target instance being a GPU instance.
12. The apparatus of claim 11, the related components comprising any one or more of:
CUDA components, tensorFlow components.
13. An electronic device comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, the computer program, when executed by the processor, implementing the steps of the method of driver loading as claimed in any of claims 1 to 6.
14. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of driving a load according to any one of claims 1 to 6.
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| CN115390858A (en) * | 2021-05-24 | 2022-11-25 | 广州视源电子科技股份有限公司 | Method, device, processor and storage medium for managing mirror image file |
| CN113626095A (en) * | 2021-06-29 | 2021-11-09 | 欧电云信息科技(江苏)有限公司 | Switching method and switching system of configuration center, electronic equipment and storage medium |
| CN113961253B (en) * | 2021-09-29 | 2024-04-09 | 阿里巴巴（中国）有限公司 | Driving program calling method, device, electronic equipment and storage medium |
| CN114615177B (en) * | 2022-03-03 | 2023-10-13 | 腾讯科技（深圳）有限公司 | Load detection method and device of cloud platform, electronic equipment and storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103189851A (en) * | 2010-06-25 | 2013-07-03 | 韦斯技术公司 | Apparatus and method for network driver injection into target image |
| CN104094225A (en) * | 2011-11-28 | 2014-10-08 | 韦斯技术有限公司 | Creation or installation of disk image for target device having one of a plurality of hardware platforms |
| CN104899068A (en) * | 2015-06-30 | 2015-09-09 | 北京奇虎科技有限公司 | Method and device for multi-process start by container |
| CN107329762A (en) * | 2017-06-30 | 2017-11-07 | 上海棠棣信息科技股份有限公司 | A kind of method and system for describing to service with integrated software |
| CN107665131A (en) * | 2017-09-21 | 2018-02-06 | 成都领沃网络技术有限公司 | It is a kind of quickly to pre-install method and client automatically without client hardware driving under disk ring border |
| US10074206B1 (en) * | 2017-05-23 | 2018-09-11 | Amazon Technologies, Inc. | Network-optimized graphics library for virtualized graphics processing |
| CN108604260A (en) * | 2016-01-11 | 2018-09-28 | 艾迪科基因组公司 | For scene or the genomics architecture of DNA based on cloud and RNA processing and analysis |
| US10102605B1 (en) * | 2016-08-26 | 2018-10-16 | Amazon Technologies, Inc. | Graphics library virtualization for virtualized graphics processing |
| CN109033436A (en) * | 2018-08-14 | 2018-12-18 | 武汉达梦数据库有限公司 | A kind of multiple version JDBC driving coexistence methods of same database and system |
-
2020
- 2020-01-22 CN CN202010075835.9A patent/CN111309387B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103189851A (en) * | 2010-06-25 | 2013-07-03 | 韦斯技术公司 | Apparatus and method for network driver injection into target image |
| CN104094225A (en) * | 2011-11-28 | 2014-10-08 | 韦斯技术有限公司 | Creation or installation of disk image for target device having one of a plurality of hardware platforms |
| CN104899068A (en) * | 2015-06-30 | 2015-09-09 | 北京奇虎科技有限公司 | Method and device for multi-process start by container |
| CN108604260A (en) * | 2016-01-11 | 2018-09-28 | 艾迪科基因组公司 | For scene or the genomics architecture of DNA based on cloud and RNA processing and analysis |
| US10102605B1 (en) * | 2016-08-26 | 2018-10-16 | Amazon Technologies, Inc. | Graphics library virtualization for virtualized graphics processing |
| US10074206B1 (en) * | 2017-05-23 | 2018-09-11 | Amazon Technologies, Inc. | Network-optimized graphics library for virtualized graphics processing |
| CN107329762A (en) * | 2017-06-30 | 2017-11-07 | 上海棠棣信息科技股份有限公司 | A kind of method and system for describing to service with integrated software |
| CN107665131A (en) * | 2017-09-21 | 2018-02-06 | 成都领沃网络技术有限公司 | It is a kind of quickly to pre-install method and client automatically without client hardware driving under disk ring border |
| CN109033436A (en) * | 2018-08-14 | 2018-12-18 | 武汉达梦数据库有限公司 | A kind of multiple version JDBC driving coexistence methods of same database and system |
Non-Patent Citations (1)
| Title |
|---|
| 陈崇森 ; .基于i.MX6Q+FPGA平台Android下EIM总线接口设计.现代计算机(专业版).2016,(第13期),全文. * |
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