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Scheduling method and device for load balancing and computing equipment

A scheduling method and load balancing technology, which is applied in the direction of multi-program device, program startup/switching, resource allocation, etc., can solve the problems of poor parallel computing performance, slow balancing speed, long load balancing interval, etc., to reduce time overhead , the effect of improving performance

Pending Publication Date: 2022-04-01
UNIONTECH SOFTWARE TECH CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, scenarios such as big data and AI (Artificial Intelligence, artificial intelligence) generally have multi-threaded parallel computing. Therefore, on a NUMA (Non Uniform Memory Access, non-uniform memory access) architecture server, there will be more than ten CPUs on one CPU. In the scenario where the process is running, when relying on the system's load balancing mechanism to migrate the process to other CPUs, each load balancing can only be performed between two CPUs, and when scheduling across NODEs (nodes), the load balancing interval Long time, poor performance
Therefore, the current load balancing scheme has a slow balancing speed, resulting in poor parallel computing performance in a short period of time.

Method used

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  • Scheduling method and device for load balancing and computing equipment
  • Scheduling method and device for load balancing and computing equipment
  • Scheduling method and device for load balancing and computing equipment

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Embodiment Construction

[0026] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0027] figure 1 It is a schematic diagram of the framework of the NUMA architecture of the embodiment of the present invention; the NUMA architecture includes 16 NODEs, respectively NODE 0-15, and each NODE includes 8 CPUs, respectively CPU 0-7, assuming that the processes P0-P15 run on On CPU0 of NODE 0, other CPUs on NODE 0 are idle, and all CPUs on NODE 15 are idle. The goal of the load balancing mechanism is to balance the pro...

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Abstract

The invention discloses a scheduling method and device for load balancing and computing equipment. The method comprises the following steps: determining an emigration process CPU and one or more migration target CPUs at least based on the CPU load size in CPUs of all nodes of the multi-core system; traversing all processes on the emigration process CPU, and determining a to-be-migrated process at least according to the CPU affinity of each process; determining a corresponding relation between the to-be-migrated process and the migration target CPU according to the CPU affinity of the to-be-migrated process; and migrating the process to be migrated to the corresponding migration target CPU according to the corresponding relationship. The invention also discloses a corresponding device and computing equipment.

Description

technical field [0001] The invention relates to the technical field of data scheduling, in particular to a scheduling method, device and computing equipment for load balancing. Background technique [0002] At present, scenarios such as big data and AI (Artificial Intelligence, artificial intelligence) generally have multi-threaded parallel computing. Therefore, on a NUMA (Non Uniform Memory Access, non-uniform memory access) architecture server, there will be more than ten CPUs on one CPU. In the scenario where the process is running, when relying on the system's load balancing mechanism to migrate the process to other CPUs, each load balancing can only be performed between two CPUs, and when scheduling across NODEs (nodes), the load balancing interval Long time, poor performance. Therefore, the current load balancing scheme has a slow balancing speed, resulting in poor performance of short-term parallel computing. [0003] Therefore, for a complex system with multiple la...

Claims

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Application Information

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IPC IPC(8): G06F9/48G06F9/50
Inventor 周鹏叶中玉胡翔余昇锦
Owner UNIONTECH SOFTWARE TECH CO LTD
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