Method for accelerating adaptive reconfigurable processing unit array system based on network

Abstract

The invention discloses a method for accelerating a network-based adaptive reconfiguring processing unit array system. According to the method, an adaptive reconfiguring processing unit network is formed by computing nodes formed by general processors and reconfiguring equipment. A program needing to be executed is divided into a collection of tasks which can operate independently; and each task in the collection of the tasks is allocated through the adaptive reconfiguring processing unit network to find a suitable computing resource to be executed and can be reconfigured by making use of the characteristics of high efficiency and flexibility of the reconfiguring equipment, so that the function of the reconfiguring equipment can meet the demands of different tasks. Under the action of the adaptive reconfiguring processing unit network, the network-based adaptive reconfiguring processing unit array system can intelligently allocate the tasks according to the condition of nodes in the network and primarily allocates the tasks to other nodes with idle computing resources so as to reduce the time of executing the program, improve the utilization rate of the reconfiguring equipment and achieve the purpose of accelerating the program.

Description

technical field [0001] The present invention relates to the multi-core technical field and the reconfigurable technical field, in particular to an implementation method of a reconfigurable multi-core accelerated program execution based on network communication. Background technique [0002] With the continuous improvement of the computer manufacturing technology level, the VLSI technology has made great progress, and the multi-core technology has become the current mainstream processor technology. However, with the increasing number of processor cores, how to improve the utilization of these cores has become a difficult problem. [0003] Since the parallelism of general applications is not high, it is generally considered that after the number of general-purpose cores of a processor exceeds 16, it is difficult to increase the number of general-purpose processing cores to improve performance. [0004] In a heterogeneous multi-core processor, some special-purpose cores custom...

AI Technical Summary

Problems solved by technology

[0006] But an isolated node does not have enough power and flexibility to handle some applications

[0007] Insufficient reconfigurable resources: When the application needs more reconfigurable resources than an isolated node has, in this case, some requests of the application must be suspended until the occupied reconfigurable resources are Released and reconfigured before proceeding, which reduces performance and efficiency

[0008] Waste of reconfigurable resources: When the application is not suitable for reconfigurable devices, the reconfigurable resources of the node are idle and wasted

[0009] High cost of frequent reconfiguration: When the functional modules frequently called by the application cannot be provided on the reconfigurable device at the same time, it is necessary to frequently switch the functional modules on the reconfigurable device, resulting in frequent reconfiguration, which makes performance and efficiency drop

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