CN110647449A - Linpack performance test optimization method and device - Google Patents
Linpack performance test optimization method and device Download PDFInfo
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Abstract
The invention relates to a method and a device for Linpack performance test optimization, wherein the method comprises the following steps: dividing a plurality of subintervals in the current value interval of the order and determining the current value number; respectively setting a plurality of values of orders in a plurality of subintervals according to the current value number; respectively testing the values of all orders and obtaining the test scores of the corresponding subintervals; and taking the subinterval with the optimal test score as a new current value interval, and circularly executing the steps until the optimal value of the order is obtained. By utilizing the method, the optimal value of the order can be selected, and the optimal test result of the linpack test can be obtained, so that the performance score of the server can be more accurately measured without depending on the experience of a tester and the actual configuration and application scenes of various servers, and the test effect of the server performance test is improved.
Description
Technical Field
The invention relates to the technical field of servers. The invention further relates to a Linpack performance test optimization method and device.
Background
The Linpack test is one of the most common tools for evaluating the computing performance of a server, and it is recognized by the industry that the results of the Linpack test are important for evaluating the performance of the server by various server manufacturers and end users.
The Linpack test includes three classes, Linpack100, Linpack1000, and HPL. In the three tests, the solution scale of the Linpack100 to the array is a dense linear algebraic equation system of 100 th order, which only allows the optimization by adopting compiling optimization options, and the code is not required to be changed, and even the comments in the code are not required to be changed. The linear algebraic equation system with the solving scale of Linpack1000 being 1000 orders can be optimized on the basis of algorithm and code without changing the calculated amount in order to meet the specified precision requirement. The HPL, i.e., High Performance linear test, is also called a highly parallel computing benchmark test, and it has no limitation on the order N, i.e., the solution scale can be changed, and any other optimization method can be adopted except that the basic algorithm (the amount of computation) cannot be changed. The first two tests are run on a smaller scale and are not well suited for the development of modern computers, so now more test criteria are used, HPL, and order N is also a parameter that the linpack test must specify.
In the current linpack test, the value of N in the HPL configuration file is correspondingly taken according to the experience of a tester and about 80% of the memory capacity. However, due to the difference between the actual configuration and the application scenario of each server, the corresponding optimal performance often has a certain deviation, so that the test result cannot be optimal.
Therefore, an optimization method for the Linpack test needs to be provided, and an optimal order N is selected in the test through a corresponding algorithm so as to obtain an optimal test result.
Disclosure of Invention
On one hand, the invention provides a Linpack performance test optimization method based on the above purpose, wherein the method comprises the following steps:
dividing a plurality of subintervals in the current value interval of the order and determining the current value number;
respectively setting a plurality of values of orders in a plurality of subintervals according to the current value number;
respectively testing the values of all orders and obtaining the test scores of the corresponding subintervals;
and taking the subinterval with the optimal test score as a new current value interval, and circularly executing the steps until the optimal value of the order is obtained.
According to an embodiment of the Linpack performance test optimization method, the method further comprises the following steps: and presetting an initial current value interval of an order according to the memory capacity and the test utilization rate of the memory capacity before the circulation starts.
According to the embodiment of the Linpack performance test optimization method, the step of respectively setting a plurality of values of an order according to the current value number in a plurality of subintervals further comprises the step of: and setting the non-zero natural number value of the order at equal intervals in a plurality of subintervals according to the current value number.
According to the embodiment of the Linpack performance test optimization method, the step of performing the test by using all the values of the order and obtaining the test scores of the corresponding subintervals further comprises the following steps: and importing the values into a configuration file of the Linpack highly parallel computing benchmark test to obtain test scores of corresponding values.
According to the embodiment of the Linpack performance test optimization method, the step of performing the test by using all the values of the order and obtaining the test scores of the corresponding subintervals further comprises the following steps: and taking the average value of the test scores of all the values in the subintervals as the test score of the subinterval.
According to the embodiment of the Linpack performance test optimization method, the step of circularly executing the previous steps until the optimal value of the order is obtained by taking the subinterval with the optimal test score as the new current value-taking interval further comprises the following steps: and under the condition that all non-zero natural numbers in the current value interval are set as the order values, taking the value with the optimal test score as the optimal order value.
On the other hand, the invention also provides a device for optimizing Linpack performance test, which comprises:
at least one processor; and
a memory storing processor executable program code which when executed by the processor performs the steps of:
dividing a plurality of subintervals in the current value interval of the order and determining the current value number;
respectively setting a plurality of values of orders in a plurality of subintervals according to the current value number;
testing by all the values of the order respectively and obtaining the test scores of the corresponding subintervals;
and taking the subinterval with the optimal test score as a new current value interval, and circularly executing the steps until the optimal value of the order is obtained.
According to an embodiment of the apparatus for Linpack performance test optimization of the present invention, the program code further performs the following steps when executed by the processor: and presetting an initial current value interval of an order according to the memory capacity and the test utilization rate of the memory capacity before the circulation starts.
According to the embodiment of the apparatus for Linpack performance test optimization of the present invention, the setting of the plurality of values of the order according to the current value number in the plurality of subintervals further includes: and setting the non-zero natural number value of the order at equal intervals in a plurality of subintervals according to the current value number.
According to the embodiment of the apparatus for Linpack performance test optimization of the present invention, the step of circularly executing the foregoing steps until obtaining the optimal value of the order, with the subinterval with the optimal test score as a new current value-taking interval, further includes: and under the condition that all non-zero natural numbers in the current value interval are set as the order values, taking the value with the optimal test score as the optimal order value.
By adopting the technical scheme, the invention at least has the following beneficial effects: according to the method and the device, the value intervals of the orders can be gradually reduced in the linpack test through multiple iterations, so that the optimal values of the orders are selected, and the optimal test result of the linpack test can be obtained. The method can more accurately measure the performance scores of the servers without depending on the experience of testers and the actual configuration and application scenes of various servers, thereby improving the test effect of the performance test of the servers.
The present invention provides aspects of embodiments, which should not be used to limit the scope of the present invention. Other embodiments are contemplated in accordance with the techniques described herein, as will be apparent to one of ordinary skill in the art upon study of the following figures and detailed description, and are intended to be included within the scope of the present application.
Embodiments of the invention are explained and described in more detail below with reference to the drawings, but they should not be construed as limiting the invention.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the description of the prior art and the embodiments will be briefly described below, parts in the drawings are not necessarily drawn to scale, and related elements may be omitted, or in some cases the scale may have been exaggerated in order to emphasize and clearly show the novel features described herein. In addition, the structural order may be arranged differently, as is known in the art.
FIG. 1 shows a schematic block diagram of an embodiment of a Linpack performance test optimization method in accordance with the present invention.
Detailed Description
While the present invention may be embodied in various forms, there is shown in the drawings and will hereinafter be described some exemplary and non-limiting embodiments, with the understanding that the present disclosure is to be considered an exemplification of the invention and is not intended to limit the invention to the specific embodiments illustrated.
FIG. 1 shows a schematic block diagram of an embodiment of a Linpack performance test optimization method in accordance with the present invention. As shown, the method in the illustrated embodiment includes at least:
s1: dividing a plurality of subintervals in the current value interval of the order and determining the current value number;
s2: respectively setting a plurality of values of orders in a plurality of subintervals according to the current value number;
s3: testing by all the values of the order respectively and obtaining the test scores of the corresponding subintervals;
s4: and taking the subinterval with the optimal test score as a new current value interval, and circularly executing the steps until the optimal value of the order is obtained.
In the concept proposed by the invention, the optimal value of the order N is obtained by continuously reducing the order in an iterative mannerValue range of sub-N [ N ]min,Nmax]Therefore, in the embodiment shown in fig. 1, a larger value interval may be preset for the order N as the current value interval. Then step S1 is performed at the current value range [ N ] of order Nmin_i,Nmax_i]Internally partitioning multiple sub-intervals [ N ]1,N2]、[N2,N3]...[Nj,Nj+1]And determining the current value number M_i. Where i is the number of iterations, i.e. the number of sub-intervals divided, according to the inventive concept. Subsequently in step S2 in the above-mentioned plurality of subintervals [ N1,N2]、[N2,N3]...[Nj,Nj+1]In which a plurality of values of order, e.g. N, are set respectively according to the number M of current valuesj_M_1、Nj_M_2...Nj_M_mAnd the like, wherein j is the j-th sub-interval divided in the current iteration. These values are preferably derived in a configuration file in the txt format specified. After the values of the good orders are determined, the values are read from the txt configuration file, and in step S3, all the values N of the orders are respectively takenj_M_1、Nj_M_2...Nj_M_mTests were carried out and the corresponding subintervals [ N ] were obtainedj,Nj+1]Test score R ofj. Obtaining the test scores R of all the subintervalsjThen, the test scores of all the subintervals are sorted, and in step S4, the test score is optimized to MAX [ R [ ]j]Is taken as a new current value interval [ N ]min_i+1,Nmax_i+1]Repeating the steps S1 to S4 of the method according to the invention until the optimal value N of the order N is obtained_opt. Therefore, the optimal value of the order can be selected by utilizing the embodiment of the method, the optimal test result of the linpack test is obtained, and the performance score of the server is more accurately measured.
Further embodiments of the present invention will be described below, it being noted that the numbering of the steps mentioned therein is used only for the convenience of unambiguously indicating the step without any particular indication, and does not limit the order of the steps described.
In some embodiments of the Linpack performance test optimization method of the present invention, the method further comprises:
and presetting an initial current value interval of an order according to the memory capacity and the test utilization rate of the memory capacity before the circulation starts.
In the concept proposed by the present invention, the optimal value of order N is obtained by continuously reducing the value interval [ N ] of order N in an iterative mannermin，Nmax]Therefore, in the embodiment shown in fig. 1, a larger value interval is usually preset for the order N as the current value interval. In some embodiments, the initial current value range [ N ] of the order N is preset according to the memory capacity s (byte) and the test utilization rate P (%) of the memory capacitymin_0，Nmax_0]. Since the order N has the following relationship with the memory capacity S, namely
N2·8＝S·P
(equation 1), therefore, the values of the order N are affected by both the memory capacity S and the test utilization P of the memory capacity. In particular, an initial current value range [ N ] is determined by the minimum value and the maximum value of the test utilization rate P of the memory capacitymin_0，Nmax_0]The interval end of (1). For example, the minimum value and the maximum value of the test utilization rate P of the memory capacity are 40% and 90%, and then the two end values of the current value interval of the order N are calculated according to the relationship of the above formula 1. It should be noted that in some embodiments, the calculation result is rounded as the value of order N after the root number of N is calculated.
In several embodiments of the method for optimizing the Linpack performance test of the present invention, the step S2 of setting a plurality of values of the order according to the current value number in a plurality of subintervals further includes: and setting the non-zero natural number value of the order at equal intervals in a plurality of subintervals according to the current value number. That is, in these embodiments, a plurality of subintervals such as [ N ] divided according to step S11，N2]、[N2，N3]...[Nj，Nj+1]Setting the current value number M of the order at a medium distance_iValues which must be non-zero natural numbers in order to test the arrayHigh order testing of (1).
In some embodiments of the method for optimizing the Linpack performance test of the present invention, the step S3 of performing the test with all the values of the order and obtaining the test score of the corresponding sub-interval further includes: and importing the values into a configuration file of the Linpack highly parallel computing benchmark test to obtain test scores of corresponding values. In these embodiments, after the values set in step S2 are exported to a specific configuration file, the values, such as N, are exportedj_M_1、Nj_M_2...Nj_M_m(j 1, 2, 3.) and the like are led into a configuration file of the Linpack HPL height parallel computing benchmark test one by one to be tested to respectively obtain corresponding values such as Nj_M_1、Nj_M_2...Nj_M_m(j ═ 1, 2, 3.) test score Rj_m。
In several embodiments of the method for optimizing Linpack performance test of the present invention, the step S3 of performing the test with all values of the order and obtaining the test score of the corresponding sub-interval further includes: and taking the average value of the test scores of all the values in the subintervals as the test score of the subinterval. That is, in a certain subinterval [ N ]j,Nj+1]All values N belonging to the subintervalj_M_1、Nj_M_2...Nj_M_m(j ═ 1, 2, 3.) of each test score Rj_mSumming to obtain an average value RjWith the average value RjAs a test score for that sub-interval.
In one or more embodiments of the method for optimizing Linpack performance test of the present invention, step S4 uses the subinterval with the optimal test score as a new current value-taking interval, and the step of executing the foregoing steps in a loop until the optimal value of the order is obtained further includes: and under the condition that all non-zero natural numbers in the current value interval are set as the order values, taking the value with the optimal test score as the optimal order value. Step S4 tests the score optimum MAX Rj]Is taken as a new current value interval [ N ]min_i+1,Nmax_i+1]Repeating the steps S1 to S4 of the method according to the invention until the optimal value N of the order N is obtained_opt. When the current value is in the value range [ N ]min_i,Nmax_i]All non-zero natural numbers in the sequence are set as the value N of the order Nj_M_1、Nj_M_2...Nj_M_m(j ═ 1, 2, 3.) in other words, in the current value interval [ N ]min_i,Nmax_i]Is as small as determining the current value number M_iUnder the condition that the set values just cover all non-zero natural numbers in the interval, the values are tested to be enough to select the optimal unique value according to the test score, so that the test score is optimal to be MAX [ R ]j_m]Value of (2)j_M_mAs the optimal value of order N. Subsequently, a performance test of the server can be performed with the selected optimal value.
On the other hand, the invention also provides a device for optimizing Linpack performance test, which comprises: at least one processor; and a memory storing program code executable by the processor, the program code, when executed by the processor, performing the steps of:
s1: dividing a plurality of subintervals in the current value interval of the order and determining the current value number;
s2: respectively setting a plurality of values of orders in a plurality of subintervals according to the current value number;
s3: testing by all the values of the order respectively and obtaining the test scores of the corresponding subintervals;
s4: and taking the subinterval with the optimal test score as a new current value interval, and circularly executing the steps until the optimal value of the order is obtained.
In some embodiments of the apparatus for Linpack Performance test optimization of the present invention, the program code, when executed by the processor, further performs the steps of:
and presetting an initial current value interval of an order according to the memory capacity and the test utilization rate of the memory capacity before the circulation starts.
In several embodiments of the apparatus for Linpack performance test optimization of the present invention, the step S2 of setting a plurality of values of the order according to the current value number in a plurality of subintervals further includes: and setting the non-zero natural number value of the order at equal intervals in a plurality of subintervals according to the current value number.
In some embodiments of the apparatus for Linpack performance test optimization of the present invention, step S4 uses the sub-interval with the optimal test score as a new current value-taking interval, and performing the foregoing steps in a loop until obtaining the optimal value of the order further includes: and under the condition that all non-zero natural numbers in the current value interval are set as the order values, taking the value with the optimal test score as the optimal order value.
The devices and apparatuses disclosed in the embodiments of the present invention may be various electronic terminal apparatuses, such as a mobile phone, a Personal Digital Assistant (PDA), a tablet computer (PAD), a smart television, and the like, or may be a large terminal apparatus, such as a server, and therefore the scope of protection disclosed in the embodiments of the present invention should not be limited to a specific type of device and apparatus. The client disclosed in the embodiment of the present invention may be applied to any one of the above electronic terminal devices in the form of electronic hardware, computer software, or a combination of both.
The computer-readable storage media (e.g., memory) described herein may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. By way of example, and not limitation, nonvolatile memory can include Read Only Memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which can act as external cache memory. By way of example and not limitation, RAM is available in a variety of forms such as synchronous RAM (DRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The storage devices of the disclosed aspects are intended to comprise, without being limited to, these and other suitable types of memory.
By adopting the technical scheme, the invention at least has the following beneficial effects: according to the method and the device, the value intervals of the orders can be gradually reduced in the linpack test through multiple iterations, so that the optimal values of the orders are selected, and the optimal test result of the linpack test can be obtained. The method can more accurately measure the performance scores of the servers without depending on the experience of testers and the actual configuration and application scenes of various servers, thereby improving the test effect of the performance test of the servers.
It is to be understood that the features listed above for the different embodiments may be combined with each other to form further embodiments within the scope of the invention, where technically feasible. Furthermore, the specific examples and embodiments described herein are non-limiting, and various modifications of the structure, steps and sequence set forth above may be made without departing from the scope of the invention.
In this application, the use of the conjunction of the contrary intention is intended to include the conjunction. The use of definite or indefinite articles is not intended to indicate cardinality. In particular, references to "the" object or "an" and "an" object are intended to mean one of many such objects possible. However, although elements of the disclosed embodiments of the invention may be described or claimed in the singular, the plural is contemplated unless limitation to the singular is explicitly stated. Furthermore, the conjunction "or" may be used to convey simultaneous features, rather than mutually exclusive schemes. In other words, the conjunction "or" should be understood to include "and/or". The term "comprising" is inclusive and has the same scope as "comprising".
The above-described embodiments, particularly any "preferred" embodiments, are possible examples of implementations, and are presented merely for a clear understanding of the principles of the invention. Many variations and modifications may be made to the above-described embodiments without departing substantially from the spirit and principles of the technology described herein. All such modifications are intended to be included within the scope of this disclosure.
Claims (10)
1. A Linpack performance test optimization method is characterized by comprising the following steps:
dividing a plurality of subintervals in the current value interval of the order and determining the current value number;
respectively setting a plurality of values of orders in the plurality of subintervals according to the current value number;
testing all the values of the order respectively and obtaining the test scores of the corresponding subintervals;
and taking the subinterval with the optimal test score as a new current value interval, and circularly executing the steps until the optimal value of the order is obtained.
2. The method of claim 1, further comprising:
and presetting the initial current value-taking interval of the order according to the memory capacity and the test utilization rate of the memory capacity before the circulation starts.
3. The method of claim 1, wherein the setting the plurality of values of the order according to the current number of values in the plurality of subintervals further comprises:
and setting the non-zero natural number value of the order at equal intervals in the plurality of subintervals according to the current value number.
4. The method of claim 1, wherein the performing the test at all values of the order and deriving the test score for the corresponding subinterval further comprises:
and importing the values into a configuration file of a highly parallel computing benchmark test of Linpack to test to obtain test scores of corresponding values.
5. The method of claim 4, wherein the step of performing the test at all values of the order and deriving the test score of the corresponding subinterval further comprises:
and taking the average value of the test scores of all the values in the subintervals as the test score of the subintervals.
6. The method of claim 1, wherein the step of taking the sub-interval with the optimal test score as a new current value interval and performing the steps in a loop until the optimal value of the order is obtained further comprises:
and under the condition that all non-zero natural numbers in the current value interval are set as the values of the orders, taking the value with the optimal test score as the optimal value of the order.
7. An apparatus for Linpack performance test optimization, the apparatus comprising:
at least one processor; and
a memory storing program code executable by the processor, the program code, when executed by the processor, performing the steps of:
dividing a plurality of subintervals in the current value interval of the order and determining the current value number;
respectively setting a plurality of values of orders in the plurality of subintervals according to the current value number;
testing all the values of the order respectively and obtaining the test scores of the corresponding subintervals;
and taking the subinterval with the optimal test score as a new current value interval, and circularly executing the steps until the optimal value of the order is obtained.
8. The apparatus of claim 7, wherein the program code, when executed by the processor, further performs the steps of:
and presetting the initial current value-taking interval of the order according to the memory capacity and the test utilization rate of the memory capacity before the circulation starts.
9. The apparatus of claim 7, wherein the setting of the plurality of values of the order according to the current number of values in the plurality of subintervals further comprises:
and setting the non-zero natural number value of the order at equal intervals in the plurality of subintervals according to the current value number.
10. The apparatus of claim 7, wherein the step of taking the sub-interval with the optimal test score as a new current value interval and performing the previous steps in a loop until the optimal value of the order is obtained further comprises:
and under the condition that all non-zero natural numbers in the current value interval are set as the values of the orders, taking the value with the optimal test score as the optimal value of the order.
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| CN111913747A (en) * | 2020-07-03 | 2020-11-10 | 中国科学院软件研究所 | Method and device for optimizing Panel decomposition of HPL (high-performance liquid chromatography) suitable for complex heterogeneous system |
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| CN111913747A (en) * | 2020-07-03 | 2020-11-10 | 中国科学院软件研究所 | Method and device for optimizing Panel decomposition of HPL (high-performance liquid chromatography) suitable for complex heterogeneous system |
| CN111913747B (en) * | 2020-07-03 | 2022-05-24 | 中国科学院软件研究所 | HPL (high-performance level) Panel decomposition optimization method and device suitable for complex heterogeneous system |
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