CN107451022A - A kind of method and system for automatically adjusting linpack performance tests - Google Patents

A kind of method and system for automatically adjusting linpack performance tests Download PDF

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Publication number
CN107451022A
CN107451022A CN201710686285.2A CN201710686285A CN107451022A CN 107451022 A CN107451022 A CN 107451022A CN 201710686285 A CN201710686285 A CN 201710686285A CN 107451022 A CN107451022 A CN 107451022A
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linpack
values
cpu
error
performance
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CN107451022B (en
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张宇
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Zhengzhou Yunhai Information Technology Co Ltd
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Zhengzhou Yunhai Information Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/22Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
    • G06F11/2289Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing by configuration test
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/22Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
    • G06F11/2273Test methods

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Debugging And Monitoring (AREA)
  • Test And Diagnosis Of Digital Computers (AREA)

Abstract

Including a kind of method for automatically adjusting linpack performance tests, following steps are specifically included:Calculate the theoretical value and desired value of cpu performance;Constantly adjustment N values and NB values, realize automatically adjusting for linpack performance tests.Also include a kind of system for automatically adjusting linpack performance tests, including cpu performance value computing module, for reading CPU check figure, number and dominant frequency information, and calculate the theoretical value and desired value of cpu performance;Automated tuning module, for changing NB values, the N values of configuration file, N represents linpack computing exponent number, and NB represents the size of solution matrix piecemeal.The automated tuning of linpack performance tests can be realized, automatic configuration is realized, automatic running test, exports optimal result, it is not necessary to artificial modification configuration file, save the time resource of human resources and test, realize the simplification and automation of test.

Description

A kind of method and system for automatically adjusting linpack performance tests
Technical field
The present invention relates to technical field of performance test, specifically a kind of side for automatically adjusting linpack performance tests Method and system.
Background technology
Linpack (linear system software kit) has become most popular for testing high-performance calculation in the world now The benchmark (benchmark) of machine system floating-point performance.
With the continuous upgrading of server product hardware, whole computing capability is also lifted with the speed of the order of magnitude.Weighing apparatus An important indicator for measuring computing power is exactly to calculate peak value, such as Floating-point Computation peak value, and it refers to computer energy each second The Floating-point Computation maximum times of completion.Actual measurement floating-point peak value refers to Linpack test values, that is to say, that is run on this machine Linpack test programs, the optimal test result obtained by various tuning methods, the tuning method of most common of which are exactly The configuration file for changing linpack carries out tuning.
Modification configuration file is manually modified mostly at present, not only loses time to be also easy to malfunction.
The content of the invention
In order to solve the problems, such as proposed in background technology, automatically adjust linpack performances the invention provides one kind and survey The method and system of examination.
The technical scheme adopted by the invention to solve the technical problem is that:It is a kind of to automatically adjust linpack performance tests Method, specifically include following steps:
Calculate the theoretical value and desired value of cpu performance;
Constantly adjustment N values and NB values, realize automatically adjusting for linpack performance tests.
Further, also needed to before above-mentioned steps obtain linpack path, call redhat systems under/ Proc/cpuinfo files, to obtain CPU check figure, number, dominant frequency.
Further, the computational methods of the theoretical value of cpu performance are:Theoretical value=CPU number * CPU check figure * master Frequency * CPU each clock cycle performs the number of floating-point operation;
The computational methods of the desired value of cpu performance are:Desired value=theoretical value * 90%.
Further, realize that the method automatically adjusted specifically includes following steps:
The initial value of N values is set, performance test is carried out to linpack, with this determination NB optimal value;
According to NB optimal value, N values are constantly adjusted, linpack is reached best performance.
Further, the method for constantly adjustment N values specifically includes following steps:
Set error and derror (t)/dt initial value;
Error and derror (t)/dt is substituted into formula N1=N+Kp*error+KD*derror (t)/dt, obtains new N Value:N1;In formula, KD is the rate of change of difference, and Kp is the direct ratio of the proportional parts and error in controller output, and error is Error;
Linpack is tested with N1, obtains test result values;
Error=test result values-desired value is made, judges whether error is more than 0, if greater than 0, then output result;It is no Then, perform and operate in next step;
New error values are substituted into formula N1=N+Kp*error+KD*derror (t)/dt, obtain new N values again: N2, continue with N2 and linpack is tested, until the new error values constantly measured are more than 0.
A kind of system for automatically adjusting linpack performance tests, mould is calculated using described method, including cpu performance value Block, for reading CPU check figure, number and dominant frequency information, and calculate the theoretical value and desired value of cpu performance;With,
Automated tuning module, for changing NB, N value of configuration file, N represents linpack computing exponent number, and NB represents to ask The size of dematrix piecemeal.
Further, in addition to file path chooses module, for obtaining the absolute path of linpack softwares, and by road Footpath with a variable return to backstage, call redhat systems under /proc/cpuinfo files, to obtain CPU check figure, Number, dominant frequency;With,
As a result output module, for by linPack test result is exported to display device.
The effect provided in the content of the invention is only the effect of embodiment, rather than whole effects that invention is all, above-mentioned A technical scheme in technical scheme has the following advantages that or beneficial effect:
The automated tuning of linpack performance tests can be realized, realizes automatic configuration, automatic running test, output is most Excellent result, it is not necessary to artificial modification configuration file, save the time resource of human resources and test, realize the simplification of test And automation.
Brief description of the drawings
Fig. 1 is the method flow schematic diagram of the embodiment of the present invention;
Fig. 2 is the system connection diagram of the embodiment of the present invention.
Embodiment
In order to the technical characterstic of clear explanation this programme, below by embodiment, and its accompanying drawing is combined, to this Invention is described in detail.Following disclosure provides many different embodiments or example is used for realizing the different knots of the present invention Structure.In order to simplify disclosure of the invention, hereinafter the part and setting of specific examples are described.In addition, the present invention can be with Repeat reference numerals and/or letter in different examples.This repetition is that for purposes of simplicity and clarity, itself is not indicated Relation between various embodiments are discussed and/or set.It should be noted that part illustrated in the accompanying drawings is not necessarily to scale Draw.Present invention omits the description to known assemblies and treatment technology and process to avoid being unnecessarily limiting the present invention.
As shown in figure 1, a kind of method for automatically adjusting linpack performance tests, specifically includes following steps:
Step 1) calculates the theoretical value and desired value of cpu performance;
Step 2) constantly adjusts N values and NB values, realizes automatically adjusting for linpack performance tests.
Also needed to before above-mentioned steps obtain linpack path, call redhat systems under /proc/cpuinfo File, to obtain CPU check figure, number, dominant frequency.Passage path is needed to choose the absolute road that module obtains linpack softwares Footpath, so that user is tested.
The computational methods of the theoretical value of cpu performance are:Theoretical value=CPU number * CPU check figure * dominant frequency * CPU are each Clock cycle performs the number of floating-point operation;If the CPU for testing purely platforms, CPU each clock cycle perform floating The number of point processing is constant 32, and the number that CPU each clock cycle performs floating-point operation is relevant with platform.
The computational methods of the desired value of cpu performance are:Desired value=theoretical value * 90%.Server test passes through standard knots Fruit is 90% or so of theoretical value, therefore it is the 90% of theoretical value to set the expected result tested.
Realize that the method automatically adjusted specifically includes following steps:
Step 21) sets the initial value of N values, performance test is carried out to linpack, with this determination NB optimal value;
Step 22) constantly adjusts N values, linpack is reached best performance according to NB optimal value.
The method of constantly adjustment N values specifically includes following steps:
Step 221) sets error and derror (t)/dt initial value;Error initial value is defaulted as 1, Derror (t)/dt initial value is defaulted as 0.
Error and derror (t)/dt is substituted into formula N1=N+Kp*error+KD*derror (t)/dt by step 222), Obtain new N values:N1;In formula, KD be difference rate of change, Kp be controller output in proportional parts and error just Than error is error;
Step 223) is tested linpack with N1, obtains test result values;It is calculated after new N values, can be certainly Under the dynamic catalogue into where linpack configuration files HPL.dat, HPL.dat configuration files are changed, parameter N value is changed For the new N values being calculated, after modification preserves, linpack execution file is called to be tested, the result of test is reset To be stored in/home catalogues below, linpack is completed in test can export end of test, and script judges to survey according to the character string Examination is completed, into/home catalogues under read test destination file, file content is screened, first looked in file Gflops printed words are positioned, and the last numeral for obtaining next line is result
Step 224) makes error=test result values-desired value, whether judges error more than 0, if greater than 0, then defeated Go out result;Otherwise, perform and operate in next step;
New error values are substituted into formula N1=N+Kp*error+KD*derror (t)/dt by step 225), are obtained again New N values:N2, continue with N2 and linpack is tested, until the new error values constantly measured are more than 0.
N is linpack computing exponent number, and N is bigger, and the effectively shared ratio of calculating is bigger, and system floating-point process performance is got over Height, but N increase can cause the consumption of internal memory to increase, and once memory headroom is insufficient, using caching, performance can be greatly lowered.
NB is to solve for the size of the partitioning of matrix, to improve the locality of data, so as to improve overall performance, piecemeal it is big Small to have a great impact to performance, NB*8 must be Cacheline multiple, and in being tested by experience, NB is generally 384, 192,256 three class values, it is array that NB is set in the software【384,192,256】.
For KD and KP value, rule of thumb can inquire about in table;Value such as KD can be inquired about from table 1:
Rate of change error <100 100-500 500-1800 1800-2500 2500>
<10 PB PB PB z z
10-20 PB PS PS z z
20-25 PB PS z NS NB
25-30 z z NS NS NB
30> z z NB NB NB
Table 1
NB, PB, Z, NS in table 1 are specific numerical value, are replaced herein using NB, PB, Z, NS.
KP value can inquire about from table 2:
Table 2
NB, PB, Z, NS in table 2 are concrete numerical value, are replaced herein using NB, PB, Z, NS.
As shown in Fig. 2 a kind of system for automatically adjusting linpack performance tests, including cpu performance value computing module, use In reading CPU check figure, number and dominant frequency information, and calculate the theoretical value and desired value of cpu performance;With,
Automated tuning module, for changing NB values, the N values of configuration file, N represents linpack computing exponent number, and NB is represented The size of solution matrix piecemeal;With,
File path chooses module, is returned for obtaining the absolute path of linpack softwares, and by path with a variable To backstage, call redhat systems under /proc/cpuinfo files, to obtain CPU check figure, number, dominant frequency;With,
As a result output module, for by linPack test result is exported to display device.
Simply the preferred embodiment of the present invention described above, for those skilled in the art, Without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications are also regarded as this hair Bright protection domain.

Claims (7)

1. a kind of method for automatically adjusting linpack performance tests, it is characterized in that, specifically include following steps:
Calculate the theoretical value and desired value of cpu performance;
Constantly adjustment N values and NB values, realize automatically adjusting for linpack performance tests.
2. according to the method for claim 1, it is characterized in that, also needed to before above-mentioned steps obtain linpack path, Under calling redhat systems /proc/cpuinfo files, to obtain CPU check figure, number, dominant frequency.
3. according to the method for claim 1, it is characterized in that, the computational methods of the theoretical value of cpu performance are:Theoretical value= CPU number * CPU check figure * dominant frequency * CPU each clock cycle performs the number of floating-point operation;
The computational methods of the desired value of cpu performance are:Desired value=theoretical value * 90%.
4. according to the method for claim 1, it is characterized in that, realize that the method automatically adjusted specifically includes following steps:
The initial value of N values is set, performance test is carried out to linpack, with this determination NB optimal value;
According to NB optimal value, N values are constantly adjusted, linpack is reached best performance.
5. according to the method for claim 4, it is characterized in that, the method for constantly adjusting N values specifically includes following steps:
Set error and derror (t)/dt initial value;
Error and derror (t)/dt is substituted into formula N1=N+Kp*error+KD*derror (t)/dt, obtains new N values: N1;In formula, KD is the rate of change of difference, and Kp is the direct ratio of the proportional parts and error in controller output, and error is to miss Difference;
Linpack is tested with N1, obtains test result values;
Error=test result values-desired value is made, judges whether error is more than 0, if greater than 0, then output result;Otherwise, Perform and operate in next step;
New error values are substituted into formula N1=N+Kp*error+KD*derror (t)/dt, obtain new N values again:N2, after It is continuous that linpack is tested using N2, until the new error values constantly measured are more than 0.
6. a kind of system for automatically adjusting linpack performance tests, using the method described in claim 1 to 5 any one, its It is characterized in, including cpu performance value computing module, for reading CPU check figure, number and dominant frequency information, and calculate cpu performance Theoretical value and desired value;With,
Automated tuning module, for changing NB values, the N values of configuration file, N represents linpack computing exponent number, and NB represents to solve The size of the partitioning of matrix.
7. system according to claim 6, it is characterized in that, in addition to file path selection module, for obtaining linpack The absolute path of software, and path is returned to from the background with a variable, under calling redhat systems /proc/cpuinfo texts Part, to obtain CPU check figure, number, dominant frequency;With,
As a result output module, for by linPack test result is exported to display device.
CN201710686285.2A 2017-08-11 2017-08-11 A kind of method and system automatically adjusting linpack performance test Active CN107451022B (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109976708A (en) * 2019-03-28 2019-07-05 苏州中晟宏芯信息科技有限公司 A kind of method and device extracted suitable for CPU floating-point operation theoretical value
CN115333948A (en) * 2022-08-23 2022-11-11 四川通信科研规划设计有限责任公司 Method for improving network utilization rate based on cloud computing and transmission network

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102521119A (en) * 2011-11-15 2012-06-27 浪潮电子信息产业股份有限公司 Method for rapidly detecting cluster parallel efficiency
CN105589778A (en) * 2016-01-12 2016-05-18 浪潮电子信息产业股份有限公司 Method for automatically calculating CPU floating point operation theoretical value under linux system
US20170052857A1 (en) * 2015-08-20 2017-02-23 Qsigma, Inc. Simultaneous Multi-Processor Apparatus Applicable to Acheiving Exascale Performance for Algorithms and Program Systems

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102521119A (en) * 2011-11-15 2012-06-27 浪潮电子信息产业股份有限公司 Method for rapidly detecting cluster parallel efficiency
US20170052857A1 (en) * 2015-08-20 2017-02-23 Qsigma, Inc. Simultaneous Multi-Processor Apparatus Applicable to Acheiving Exascale Performance for Algorithms and Program Systems
CN105589778A (en) * 2016-01-12 2016-05-18 浪潮电子信息产业股份有限公司 Method for automatically calculating CPU floating point operation theoretical value under linux system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
孟金涛,贺鹏程,刘涛: "Nehalem平台的Linpack参数训练与优化", 《华中科技大学学报(自然科学版)》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109976708A (en) * 2019-03-28 2019-07-05 苏州中晟宏芯信息科技有限公司 A kind of method and device extracted suitable for CPU floating-point operation theoretical value
CN109976708B (en) * 2019-03-28 2023-07-11 北京市合芯数字科技有限公司 Method and device suitable for extracting floating point operation theoretical value of CPU
CN115333948A (en) * 2022-08-23 2022-11-11 四川通信科研规划设计有限责任公司 Method for improving network utilization rate based on cloud computing and transmission network

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