Method for hpl test optimization based on memory affinity
An optimization method and an affinity technology, applied in the computer field, can solve problems such as reducing system memory access performance, achieve the effect of improving memory access performance, good promotion and application value, and improving hpl test results
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[0030] Such as figure 1 As shown, the hpl test optimization method based on memory affinity of the present invention specifically comprises the following steps:
[0031] S1: Automatically collect the CPU configuration of the test environment through system files.
[0032] The CPU configuration of the test environment is automatically collected through the profs file system of the Linux system. The CPU configuration includes the number of nodes and the number of cores.
[0033] S2: According to the CPU configuration, set the number of parallel processes used during the test run, and the number of parallel processes is equal to the number of cores configured by the CPU.
[0034] S3: Load the kernel module that sets the process affinity, set the scheduling mask of the process through the memory affinity setting algorithm, bind the process to a node, and set the process to apply for memory locally, and finally bind the hpl process on average in each node of the system.
[0035]...
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