Adaptive progress classification binding method for non uniform memory access (NUMA) system architecture

Abstract

The invention discloses an adaptive progress classification binding method for a non uniform memory access (NUMA) system architecture. The method comprises the following four steps of: 101, initializing the proximities of a processor core; 102, detecting the proximities of the processor core, and classifying the proximities of the processor core according to detection results; 103, traversing progresses in a system and identifying user level progresses and kernel level progresses; and 104, performing progress classification binding according to identification results of the progresses and the detection results of the proximities of the processor. By virtue of the method, available central processing units (CPUs) of the kernel level progresses and the user level progresses are limited, so that the remote memory access is avoided, and the efficiency of the system is improved; and as physical resources of the kernel level progresses and the user level progresses are isolated from each another, the collapse of the user level progresses cannot cause the collapse of the kernel level progresses, so that the stability and the safety of the system are improved. Therefor, the method has a high practical value and good application prospect in the technical field of computer operating systems.

Description

(1) Technical field [0001] The present invention relates to a NUMA architecture self-adaptive process classification binding method, in particular to an architecture detection technology and a process classification binding method based on this technology, which can realize the detection perception and scheduling of the operating system kernel to the architecture The performance optimization belongs to the technical field of computer operating systems. (2) Background technology [0002] Most of the servers currently using domestic Loongson processors adopt the NUMA architecture design. However, the existing operating system kernels that support Loongson NUMA processors do not fully consider the impact of the NUMA architecture on system performance during the scheduling process, such as figure 1 As shown, the kernel randomly schedules processes between processor cores during scheduling decisions, resulting in frequent remote memory accesses by processes, thereby reducing the ...

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Problems solved by technology

[0002] Most of the servers currently using domestic Loongson processors adopt the NUMA architecture design. However, the existing operating system kernels that support Loongson NUMA processors do not fully consider the impact of the NUMA architecture on system performance during the scheduling process, such as figure 1 As shown, the kernel randomly schedules processes between processor cores during scheduling decisions, resulting in frequent remote memory accesses by processes, thereby reducing the operating efficiency of the system. On the other hand, frequent remote memory accesses also make the system Reduced stability and security

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