CN103744634A - Method and system for optimizing performance of graphics cards - Google Patents
Method and system for optimizing performance of graphics cards Download PDFInfo
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- CN103744634A CN103744634A CN201310727197.4A CN201310727197A CN103744634A CN 103744634 A CN103744634 A CN 103744634A CN 201310727197 A CN201310727197 A CN 201310727197A CN 103744634 A CN103744634 A CN 103744634A
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Abstract
The invention discloses a method and a system for optimizing the performance of graphics cards. The system comprises a router, a control center platform and a plurality of graphics card testing platforms. The control center platform and the plurality of graphics card testing platforms are connected into a local area network through the router. The method comprises step 1, testing the performance of the plurality of graphics cards under certain external environment parameters so as to obtain a plurality of groups of test data under the external environment parameters, wherein the external environment parameters comprise the temperature and the intensity of pressure; step 2, performing optimization on the plurality of groups of test data under the external environment parameters; step 3, determining the optimum performance parameters of the graphics cards under the external environment parameters based on the optimization result; step 4, updating the optimum performance parameters to a basic input and output system of every graphics card. According to the method and the system for optimizing the performance of the graphics cards, the automatic optimization of the graphics cards is achieved, the optimized graphics cards can be high in performance and high in stability, and accordingly the cost performance of the graphics cards bought by users is improved.
Description
Technical field
The present invention relates to computer display card, more particularly, relate to a kind of method and system of optimizing video card capabilities.
Background technology
Video card is as the important composition parts of computing machine, and the quality of its performance directly affects the performance of computing machine.At present, computer display card is normally rule of thumb manually adjusted the performance parameter of video card by video card Developmental Engineer in the development phase, the mode of this adjustment video card capabilities is lost time, work efficiency is low, and according to the height of Developmental Engineer's experience, the adjustment result of video card capabilities can be not identical yet, cannot guarantee like this performance and the stability of every video card, greatly reduce the actual cost performance that user buys video card.
Summary of the invention
The present invention is directed at present when adjusting the parameter of computer display card, by video card slip-stick artist, according to its experience, manually adjust the mode of the performance parameter of video card, existence is lost time, work efficiency low and cannot guarantee the performance of every video card and the defect of stability, a kind of method and system of optimizing video card is provided, can realize the Automatic Optimal of video card capabilities parameter, increase work efficiency, and guarantee performance and the stability of video card.
The technical scheme that the present invention solves its technical matters employing is: a kind of method of optimizing video card capabilities is provided, comprises the following steps:
S1, the performance to a plurality of video cards under certain external environment parameters are tested, and to obtain the many groups test data under this external environment parameters, described external environment parameters comprises temperature and pressure;
S2, many group test datas under this external environment parameters are optimized to processing;
S3, the result based on optimization process are determined the optimum performance parameters of video card under this external environment parameters;
S4, described optimum performance parameters is updated in the Basic Input or Output System (BIOS) of each video card.
Preferably, step S3 comprises following sub-step:
S31, judge whether the result of optimization process belongs to optimal parameter scope;
If S32 belongs to optimal parameter scope, the result of optimization process is the optimum performance parameters of video card under this external environment parameters;
If S33 does not belong to optimal parameter scope, under identical external environment parameters, perform step S1;
Preferably, in sub-step S33, if do not belong to optimal parameter scope, change the parameter value of communicating by letter between video memory and graphic process unit, under identical external environment parameters, perform step S1.
Preferably, the method for optimization video card capabilities of the present invention is further comprising the steps of:
S5, between step S3 and step S4, perform step S1 to step S3 after changing external environment parameters, to obtain the optimum performance parameters of video card under many group external environment parameters;
S6, by organize under external environment parameters the optimum performance parameters of video card more, be weighted and be averaging, to obtain the final optimum performance parameters of video card.
Preferably, step S6 comprises following sub-step:
S61, according to the actual application environment of video card, determine the weighted value respectively organize the optimum performance parameters of video card under external environment parameters;
S62, the weighted value of organizing the optimum performance parameters of video card under external environment parameters are weighted and are averaging the optimum performance parameters of video card under many groups external environment parameters, to obtain the final optimum performance parameters of video card according to each.
Preferably, the method for optimization video card capabilities of the present invention is further comprising the steps of:
S7, verify the performance of each video card under optimum performance parameters.
A kind of system of optimizing video card capabilities is provided, comprises router, control center's platform and a plurality of display card test platform, by described router, described a plurality of display card test platforms and described control center platform are connected into LAN (Local Area Network); Each in described a plurality of display card test platform for carrying out performance test to video card when receiving performance test instruction under certain external environment parameters, and the performance test data of acquisition is sent to described control center platform, described external environment parameters comprises temperature and pressure; Described control center platform is used for sending described performance test instruction, also for the many groups test data under the certain external environment parameters receiving, be optimized processing, and the result based on optimization process determines the optimum performance parameters of video card under this external environment parameters, also for the optimum performance parameters of video card being updated to the Basic Input or Output System (BIOS) of each video card that described a plurality of display card test platform tests.
Preferably, described control center platform comprises:
Test instruction transmitting element, sends performance test instruction for a plurality of display card test platforms to access to LAN, and described performance test instruction comprises the parameter value of communicating by letter between video memory and graphic process unit;
The first mean value computation unit, for calculating the mean value of the many groups test data under the certain external environment parameters receiving;
Judging unit, for judging whether the mean value that described the first mean value computation unit calculates belongs to optimal parameter scope, if judge that this mean value calculating is for the optimum performance parameters of video card under this external environment parameters, send if not modify instruction to described test instruction transmitting element, so that the parameter value of communicating by letter between the video memory in described test instruction transmitting element modification performance test instruction and graphic process unit, and send amended performance test instruction to a plurality of display card test platforms of access to LAN;
Updating block, for sending update instruction to a plurality of display card test platforms of access to LAN, described update instruction comprises the optimum performance parameters of video card, so that described a plurality of display card test platform is updated to the optimum performance parameters of video card in the Basic Input or Output System (BIOS) of video card.
Preferably, the system of optimization video card capabilities of the present invention also comprises:
Storage unit, for optimum performance parameters and the external environment parameters of corresponding stored video card;
The second mean value computation unit, be used for according to the predetermined weighted value of respectively organizing the optimum performance parameters of video card under external environment parameters, the optimum performance parameters of video card under many groups external environment parameters of storing in described storage unit is weighted and is averaging, to obtain the final optimum performance parameters of video card.
Preferably, the system of optimization video card capabilities of the present invention also comprises:
Authentication unit, for sending checking instruction to a plurality of display card test platforms of access to LAN, and receives video card that described a plurality of display card test platform the returns performance test data under optimum performance parameters.
The method and system of optimization video card capabilities of the present invention has following beneficial effect: control center's platform and a plurality of display card test platform are networked by LAN (Local Area Network), by a plurality of display card test platforms, automatically a plurality of video cards are carried out to performance test, control center's platform is determined the optimum performance parameters of video card according to many group test datas, guaranteed the reliability of optimum performance parameters, then definite optimum performance parameters is updated in the BIOS of video card, completed the robotization optimization to video card, improved video card Developmental Engineer's work efficiency, accuracy and the reliability of video card capabilities data have been guaranteed, make the video card after optimizing there is high-performance and high stability, thereby improved the cost performance that user buys video card.
In addition, also consider the actual application environment factor of video card, under many group external environment parameters, obtain respectively the optimum performance parameters of video card, again according to the actual application environment of video card, determine the weighted value of the optimum performance parameters of video card under every group of external environment parameters, according to definite weighted value, to obtaining the optimum performance parameters of video card under many groups external environment parameters, be weighted and be averaging to obtain the final optimum performance parameters of video card and be updated in the BIOS of video card, make the video card after optimizing can in actual applied environment, there is high-performance and high stability, and can be after the robotization that completes video card be optimized, can also verify optimum results.
Accompanying drawing explanation
Fig. 1 is the system chart of system first embodiment of optimization video card capabilities of the present invention;
Fig. 2 is the logic diagram of control center's platform in system second embodiment of optimization video card capabilities of the present invention;
Fig. 3 is the process flow diagram of method first embodiment of optimization video card capabilities of the present invention;
Fig. 4 is the process flow diagram of method second embodiment of optimization video card capabilities of the present invention.
Embodiment
Below with reference to drawings and Examples, the present invention is further explained.
Fig. 1 is the system chart of system 100 first embodiment of optimization video card capabilities of the present invention, and as shown in Figure 1, in the present embodiment, the system 100 of optimizing video card capabilities comprises router one 10, control center's platform 120 and a plurality of display card test platform 130.By router one 10, a plurality of display card test platform 130Yu control center platform 120 is connected into LAN (Local Area Network).
In the present embodiment, a plurality of display card test platforms 130 can be positioned in laboratory, router one 10He control center platform 120 is arranged in pulpit, or in laboratory, build whole system 100, the environmental parameter in laboratory (being external environment parameters) comprises temperature and pressure, and environmental parameter is adjustable.
On display card test platform 130, place video card to be measured, control center's platform 120 sends performance test instruction to each display card test platform 130 of access to LAN, performance test instruction comprises the parameter value of communication between video memory and graphic process unit (Graphics Processing Unit, GPU).After receiving performance test instruction, display card test platform 130 makes according to the parameter value in performance test instruction, to communicate between video memory and GPU, and video card is carried out to performance test, and test comprises diagnosis performance test.Diagnosis performance test is a kind of integrative test, the integrative test of specifically the 3D performance of video card, OpenGL interface capability, power supply status and display frame being carried out, (for example test with traditional video card single performance, separately to the 3D performance of video card test, separately to the OpenGL interface performance test of video card and separately to the bandwidth performance test of video card etc.) compare, video card is carried out to diagnosis performance test, the concertedness between each performance of video card can be understood better, the stability of video card can be guaranteed better.Video card is carried out to test data that diagnosis performance test obtains and comprise parameters of video card under optimized parameter, 3D minute value parameter and this external environment parameters of video card frequency parameter, video memory frequency parameter, video card and video memory transmission channel etc.Display card test platform 130 sends to control center's platform 120 by acquisition test data.In other embodiments, the performance test that video card is carried out can also comprise the test of video card single performance, 3D performance such as independent video card tests, separately to the OpenGL interface performance test of video card and separately to the bandwidth performance test of video card etc., video card is carried out to integrative test and single performance test, can more fully understand the performance of video card.
Control center's platform 120 complete test data that a plurality of display card test platforms 130 are returned gather preserve, and the many groups test data under this external environment parameters is carried out to algorithm optimization processing, algorithm optimization processing comprises averages, average optimization process can guarantee that video card on each display card test platform 130 is all in optimum performance state, then optimization process result and default optimal parameter scope are compared, if optimization process result belongs to optimal parameter scope, optimization process result is the optimum performance parameters of video card under this external environment parameters, control center's platform 120 is by the optimum performance parameters and the external environment parameters corresponding stored that obtain, then control center's platform 120 is updated to optimum performance parameters Basic Input or Output System (BIOS) (the Basic Input Output System of video card to be measured, BIOS) in.If optimization process result does not belong to optimal parameter scope, do not changing under the prerequisite of external environment parameters, control center's platform 120 is revised the parameter value of communicating by letter between video memory and GPU, build a plurality of display card test platforms 130 that new performance test instruction sends to access to LAN, again video card is carried out to performance test, obtain new test data, repeat this process until obtain the optimum performance parameters under this external environment parameters.Wherein optimal parameter scope is for can make video card have the scope of the performance parameter of high-performance and high stability in actual motion.
In the first embodiment of the system 100 of optimization video card capabilities of the present invention, control center's platform 120 and a plurality of display card test platform 130 are networked by LAN (Local Area Network), by a plurality of display card test platforms 130, automatically a plurality of video cards are carried out to performance test, control center's platform 120 is determined the optimum performance parameters of video card according to many group test datas, guaranteed the reliability of optimum performance parameters, then definite optimum performance parameters is updated in the BIOS of video card, complete the robotization optimization to video card, made the video card after optimizing there is high-performance and high stability.
In system 100 second embodiment of optimization video card capabilities of the present invention, be with the difference of optimizing system 100 first embodiment of video card capabilities, in this embodiment, when debugging out after optimum performance parameters under the first external environment parameters, change external environment parameters, under external environment parameters after change, debug out optimum performance parameters, according to the practical service environment of video card, determine the weighted value of the optimum performance parameters of debugging out under each external environment parameters, according to definite weighted value, by organizing the optimum performance parameters of debugging out under external environment parameters, be weighted mean algorithm optimization process more, thereby obtain the final optimum performance parameters of video card, and final optimum performance parameters is updated in the BIOS of video card.For example, the first external environment parameters comprises that High Temperature High Pressure, the second external environment parameters comprise that high-temperature low-pressure, the 3rd external environment parameters comprise that cryogenic high pressure and the 4th external environment parameters comprise low-temp low-pressure, determine the weighted value of the optimum performance parameters of debugging out under first to fourth external environment parameters according to the actual application environment of video card.Under above-mentioned external environment parameters, debug out optimum performance parameters respectively, and according to definite weighted value, the optimum performance parameters of debugging out under above-mentioned external environment parameters is weighted and is averaging, thereby obtain final optimum performance parameters, then final optimum performance parameters is updated in the BIOS of video card.In addition, in this embodiment, complete final optimum performance parameters is updated to after the BIOS of video card, control center's platform 120 also can send checking instruction to a plurality of display card test platforms 130 of access to LAN, and receive video card that a plurality of display card test platforms 130 the return performance test data under optimum performance parameters, control center's platform 120, performance test data is carried out showing after certain processing, for operating personnel's reference, is verified the effect that video card is optimized.For example, control center's platform 120 shows in the mode of chart after performance test data can being processed.
Fig. 2 is the logic diagram of control center's platform 120 in system 100 second embodiment of optimization video card capabilities of the present invention, as shown in Figure 2, control center's platform 120 comprises test instruction transmitting element 121, the first mean value computation unit 122, judging unit 123, the second mean value computation unit 126, updating block 124, storage unit 125 and authentication unit 127 in the present embodiment.Wherein, test instruction transmitting element 121 and judging unit 123 communication connections, for a plurality of display card test platforms 130 to access to LAN, send performance test instruction, also for when receiving modify instruction, revise the parameter value of communicating by letter between video memory and GPU to build new performance test instruction and to send to a plurality of display card test platforms 130 of access to LAN.The first mean value computation unit 122 communicates to connect with judging unit 123 and storage unit 125 respectively, for receiving the many groups test data under certain external environment parameters that a plurality of display card test platforms 130 of access to LAN send and storing storage unit 125 into, also for calculating the mean value of the many groups test data under the certain external environment parameters receiving.Judging unit 123 also communicates to connect with storage unit 125 and the second mean value computation unit 126 respectively, for judging whether the mean value that the first mean value computation unit 122 calculates belongs to default optimal parameter scope, if judge this mean value calculating for the optimum performance parameters of video card under this external environment parameters and store in storage unit 125, send if not modify instruction to test instruction transmitting element 121.The second mean value computation unit 126 is also respectively at storage unit 125 and updating block 124 communication connections, be used for according to the predetermined weighted value of respectively organizing the optimum performance parameters of video card under external environment parameters, the optimum performance parameters of video card under many groups external environment parameters of storage in storage unit 125 is weighted and is averaging, to obtain the final optimum performance parameters of video card.Updating block 124 also communicates to connect with authentication unit 127, for sending, comprise that the second mean value computation unit 126 calculates the update instruction of final optimum performance parameters to a plurality of display card test platforms 130 of access to LAN, so that a plurality of display card test platform 130 is updated to final optimum performance parameters in the BIOS of video card.Authentication unit 127 is updated to after the BIOS of video card for the rent rate performance parameter final, send checking instruction to a plurality of display card test platforms 130 of access to LAN, and receive video card that a plurality of display card test platforms 130 the return performance test data under optimum performance parameters, the performance test data receiving is carried out showing after certain processing, for operating personnel's reference, the effect that checking video card is optimized, for example, in the mode of chart, show after performance test data can being processed.
In the second embodiment of the system 100 of optimization video card capabilities of the present invention, consider the actual application environment factor of video card, under many group external environment parameters, obtain respectively the optimum performance parameters of video card, again according to the actual application environment of video card, determine the weighted value of the optimum performance parameters of video card under every group of external environment parameters, according to definite weighted value, to obtaining the optimum performance parameters of video card under many groups external environment parameters, be weighted and be averaging to obtain the final optimum performance parameters of video card and be updated in the BIOS of video card, complete the robotization optimization to video card, make the video card after optimizing can in actual applied environment, there is high-performance and high stability.And can, after the robotization that completes video card is optimized, can also verify optimum results.
Fig. 3 is the process flow diagram of method first embodiment of optimization video card capabilities of the present invention, and as shown in Figure 3, in this embodiment of son, the method for optimizing video card capabilities comprises the following steps:
S1, the performance to a plurality of video cards under certain external environment parameters are tested, and to obtain the many groups test data under this external environment parameters, described external environment parameters comprises temperature and pressure;
S2, many group test datas under this external environment parameters are optimized to processing;
S3, the result based on optimization process are determined the optimum performance parameters of video card under this external environment parameters;
S4, described optimum performance parameters is updated in the BIOS of each video card.
Referring to Fig. 1, a plurality of display card test platforms 130 can be positioned in laboratory, router one 10He control center platform 120 is arranged in pulpit, or in laboratory, build whole system 100, the environmental parameter in laboratory (being external environment parameters) comprises temperature and pressure, and environmental parameter is adjustable.In the step S1 of the present embodiment, control center's platform 120 sends performance test instruction to each display card test platform 130 of access to LAN, and performance test instruction comprises the parameter value of communicating by letter between video memory and GPU.Display card test platform 130 is after receiving performance test instruction, and display card test platform 130 makes according to the parameter value in performance test instruction, to communicate between video memory and GPU, and video card is carried out to performance test, and test comprises diagnosis performance test.Diagnosis performance test is a kind of integrative test, the integrative test of specifically the 3D performance of video card, OpenGL interface capability, power supply status and display frame being carried out, (for example test with traditional video card single performance, separately to the 3D performance of video card test, separately to the OpenGL interface performance test of video card and separately to the bandwidth performance test of video card etc.) compare, video card is carried out to diagnosis performance test, the concertedness between each performance of video card can be understood better, the stability of video card can be guaranteed better.Video card is carried out to test data that diagnosis performance test obtains and comprise parameters of video card under optimized parameter, 3D minute value parameter and this external environment parameters of video card frequency parameter, video memory frequency parameter, video card and video memory transmission channel etc.Display card test platform 130 sends to control center's platform 120 by the test data obtaining under current external environment parameters.In other embodiments, the performance test that video card is carried out can also comprise the test of video card single performance, 3D performance such as independent video card tests, separately to the OpenGL interface performance test of video card and separately to the bandwidth performance test of video card etc., video card is carried out to integrative test and single performance test, can more fully understand the performance of video card.
In the step S2 of the present embodiment, control center's platform 120 complete test data that a plurality of display card test platforms 130 are returned gather preserve, and the many groups test data under this external environment parameters is carried out to algorithm optimization processing, algorithm optimization is processed and to be comprised and averaging, and average optimization process can guarantee that video card on each display card test platform 130 is all in optimum performance state.
The step S3 of the present embodiment comprises following sub-step: S31, judges whether the result of optimization process belongs to default optimal parameter scope; If S32 belongs to optimal parameter scope, the result of optimization process is the optimum performance parameters of video card under this external environment parameters; If S33 does not belong to optimal parameter scope, change the parameter value of communicating by letter between video memory and graphic process unit, under identical external environment parameters, perform step S1.
Particularly, in sub-step S31, control center's platform 120 compares optimization process result and default optimal parameter scope, if optimization process result belongs to optimal parameter scope, in sub-step S32, judge that this optimization process result is for the optimum performance parameters of video card under this external environment parameters, control center's platform 120 is by the optimum performance parameters and the external environment parameters corresponding stored that obtain, if optimization process result does not belong to default optimal parameter scope, in sub-step S33, do not changing under the prerequisite of external environment parameters, control center's platform 120 is revised the parameter value of communicating by letter between video memory and GPU, build a plurality of display card test platforms 130 that new performance test instruction sends to access to LAN, then perform step S1, again video card is carried out to performance test, until obtain the optimum performance parameters under this external environment parameters.
In the step S4 of the present embodiment, control center's platform 120 will send a plurality of display card test platforms 130 of update instruction to access to LAN, update instruction comprises the optimum performance parameters of video card, so that in the BIOS of the video card that a plurality of display card test platforms 130 upgrade optimum performance parameters, thereby completed the optimization to video card.
In the first embodiment of the method for optimization video card capabilities of the present invention, a plurality of display card test platforms 130 transmission performance test instructions by from control center's platform 120 to access to LAN, make 130 pairs of a plurality of video cards of a plurality of display card test platforms carry out performance test and test data is returned to control center's platform 120, control center's platform 120 is determined the optimum performance parameters of video card according to many group test datas, guaranteed the reliability of optimum performance parameters, then definite optimum performance parameters is updated in the BIOS of video card, completed the robotization optimization to video card, make the video card after optimizing there is high-performance and high stability.
Fig. 4 is the process flow diagram of method second embodiment of optimization video card capabilities of the present invention, and as shown in Figure 4, in this embodiment of son, the method for optimizing video card capabilities comprises the following steps:
S1, the performance to a plurality of video cards under certain external environment parameters are tested, and to obtain the many groups test data under this external environment parameters, described external environment parameters comprises temperature and pressure;
S2, many group test datas under this external environment parameters are optimized to processing;
S3, the result based on optimization process are determined the optimum performance parameters of video card under this external environment parameters;
After S5, change external environment parameters, perform step S1 to step S3, to obtain the optimum performance parameters of video card under many group external environment parameters;
S6, by organize under external environment parameters the optimum performance parameters of video card more, be weighted and be averaging, to obtain the final optimum performance parameters of video card;
S4, described optimum performance parameters is updated in the BIOS of each video card;
S7, verify the performance of each video card under optimum performance parameters.
The present embodiment is with the difference of optimizing method first embodiment of video card capabilities, when debugging out after optimum performance parameters under one group of external environment parameters, in step S5, change external environment parameters, repeated execution of steps S1 debugs out many group optimum performance parameters to obtain respectively to step S3 under the many groups external environment parameters after change.The step S6 of the present embodiment comprises following sub-step: S61, according to the actual application environment of video card, determines the weighted value of respectively organizing the optimum performance parameters of video card under external environment parameters; S62, the weighted value of organizing the optimum performance parameters of video card under external environment parameters are weighted and are averaging the optimum performance parameters of video card under many groups external environment parameters according to each, thereby obtain the final optimum performance parameters of video card.Then in step S4, final optimum performance parameters is updated in the BIOS of video card.Then in step S7, control center's platform 120 sends checking instruction to a plurality of display card test platforms 130 of access to LAN, and receive video card that a plurality of display card test platforms 130 the return performance test data under optimum performance parameters, control center's platform 120 is carrying out showing after certain processing to performance test data, for operating personnel's reference, the effect that checking video card is optimized, for example, control center's platform 120 shows in the mode of chart after performance test data can being processed.
In the second embodiment of the method for optimization video card capabilities of the present invention, consider the actual application environment factor of video card, under many group external environment parameters, obtain respectively the optimum performance parameters of video card, again according to the actual application environment of video card, determine the weighted value of the optimum performance parameters of video card under every group of external environment parameters, according to definite weighted value, to obtaining the optimum performance parameters of video card under many groups external environment parameters, be weighted and be averaging to obtain the final optimum performance parameters of video card and be updated in the BIOS of video card, complete the robotization optimization to video card, make the video card after optimizing can in actual applied environment, there is high-performance and high stability, and can be after the robotization that completes video card be optimized, can also verify optimum results.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., within all should being included in claim scope of the present invention.
Claims (10)
1. a method of optimizing video card capabilities, is characterized in that, comprises the following steps:
S1, the performance to a plurality of video cards under certain external environment parameters are tested, and to obtain the many groups test data under this external environment parameters, described external environment parameters comprises temperature and pressure;
S2, many group test datas under this external environment parameters are optimized to processing;
S3, the result based on optimization process are determined the optimum performance parameters of video card under this external environment parameters;
S4, described optimum performance parameters is updated in the Basic Input or Output System (BIOS) of each video card.
2. the method for optimization video card capabilities according to claim 1, is characterized in that, step S3 comprises following sub-step:
S31, judge whether the result of optimization process belongs to optimal parameter scope;
If S32 belongs to optimal parameter scope, the result of optimization process is the optimum performance parameters of video card under this external environment parameters;
If S33 does not belong to optimal parameter scope, under identical external environment parameters, perform step S1.
3. the method for optimization video card capabilities according to claim 2, is characterized in that, in sub-step S33, if do not belong to optimal parameter scope, changes the parameter value of communicating by letter between video memory and graphic process unit, under identical external environment parameters, performs step S1.
4. the method for optimization video card capabilities according to claim 1, is characterized in that, further comprising the steps of:
S5, between step S3 and step S4, perform step S1 to step S3 after changing external environment parameters, to obtain the optimum performance parameters of video card under many group external environment parameters;
S6, by organize under external environment parameters the optimum performance parameters of video card more, be weighted and be averaging, to obtain the final optimum performance parameters of video card.
5. the method for optimization video card capabilities according to claim 4, is characterized in that, step S6 comprises following sub-step:
S61, according to the actual application environment of video card, determine the weighted value respectively organize the optimum performance parameters of video card under external environment parameters;
S62, the weighted value of organizing the optimum performance parameters of video card under external environment parameters are weighted and are averaging the optimum performance parameters of video card under many groups external environment parameters, to obtain the final optimum performance parameters of video card according to each.
6. the method for optimization video card capabilities according to claim 1, is characterized in that, further comprising the steps of:
S7, verify the performance of each video card under optimum performance parameters.
7. a system (100) of optimizing video card capabilities, comprise router (110), it is characterized in that, described system (100) also comprises control center's platform (120) and a plurality of display card test platform (130), by described router (110), described a plurality of display card test platforms (130) and described control center platform (120) is connected into LAN (Local Area Network); Each in described a plurality of display card test platforms (130) for carrying out performance test to video card when receiving performance test instruction under certain external environment parameters, and the performance test data of acquisition is sent to described control center platform (120), described external environment parameters comprises temperature and pressure; Described control center platform (120) is for sending described performance test instruction, also for the many groups test data under the certain external environment parameters receiving, be optimized processing, and the result based on optimization process determines the optimum performance parameters of video card under this external environment parameters, also for the optimum performance parameters of video card being updated to the Basic Input or Output System (BIOS) of each video card that described a plurality of display card test platforms (130) test.
8. the system of optimization video card capabilities according to claim 7 (100), is characterized in that, described control center platform (120) comprising:
Test instruction transmitting element (121), sends performance test instruction for a plurality of display card test platforms (130) to access to LAN, and described performance test instruction comprises the parameter value of communicating by letter between video memory and graphic process unit;
The first mean value computation unit (122), for calculating the mean value of the many groups test data under the certain external environment parameters receiving;
Judging unit (123), be used for judging whether the mean value that described the first mean value computation unit (122) calculates belongs to optimal parameter scope, if judge that this mean value calculating is for the optimum performance parameters of video card under this external environment parameters, send if not modify instruction to described test instruction transmitting element (121), so that the parameter value of communicating by letter between the video memory in described test instruction transmitting element (121) modification performance test instruction and graphic process unit, and send amended performance test instruction to a plurality of display card test platforms (130) of access to LAN,
Updating block (124), for sending update instruction to a plurality of display card test platforms (130) of access to LAN, described update instruction comprises the optimum performance parameters of video card, so that described a plurality of display card test platforms (130) are updated to the optimum performance parameters of video card in the Basic Input or Output System (BIOS) of video card.
9. the system of optimization video card capabilities according to claim 8 (100), is characterized in that, also comprises:
Storage unit (125), for optimum performance parameters and the external environment parameters of corresponding stored video card;
The second mean value computation unit (126), be used for according to the predetermined weighted value of respectively organizing the optimum performance parameters of video card under external environment parameters, the optimum performance parameters of video card under many groups external environment parameters of storage in described storage unit (125) is weighted and is averaging, to obtain the final optimum performance parameters of video card.
10. according to the system (100) of the optimization video card capabilities described in claim, it is characterized in that, also comprise:
Authentication unit (127), for sending checking instruction to a plurality of display card test platforms (130) of access to LAN, and receives video card that described a plurality of display card test platforms (130) the return performance test data under optimum performance parameters.
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| CN111290901A (en) * | 2020-01-19 | 2020-06-16 | 苏州浪潮智能科技有限公司 | Method, device and equipment for optimizing performance of storage node and storage medium |
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| CN102567166A (en) * | 2011-12-30 | 2012-07-11 | 曙光信息产业股份有限公司 | Testing method and testing system of graphics card |
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| CN101582033A (en) * | 2008-05-16 | 2009-11-18 | 研祥智能科技股份有限公司 | Configuration method for display adapter and computer system applying same |
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| CN111290901A (en) * | 2020-01-19 | 2020-06-16 | 苏州浪潮智能科技有限公司 | Method, device and equipment for optimizing performance of storage node and storage medium |
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