Cooperative compilation optimization of register allocation and thread management for AMDGPU

Lin Han; Youzhi Ren; Hongsheng Wang; Yunda Chai; Dan Zhang

doi:10.1117/12.2673315

13 April 2023 Cooperative compilation optimization of register allocation and thread management for AMDGPU

Lin Han, Youzhi Ren, Hongsheng Wang, Yunda Chai, Dan Zhang

Proceedings Volume 12605, 2022 2nd Conference on High Performance Computing and Communication Engineering (HPCCE 2022); 126050D (2023) https://doi.org/10.1117/12.2673315
Event: Second Conference on High Performance Computing and Communication Engineering, 2022, Harbin, China

Abstract

Thread parallelism and single-thread’ performance are two important factors affecting the performance of kernel functions, and they are both closely related to register allocation. According to change the thread parallelism to optimize GPU register resource allocation can effectively improve the performance of heterogeneous programs. We obtain the required number of vector registers by counting the number of virtual registers during the compilation of kernel functions, and then combine them with the number of wavefronts used to launch kernel functions for overall performance analysis, proposing a RAW compilation method for collaborative optimization of register allocation and thread management for AMDGPU, which is implemented in the LLVM compiler. It is verified that the method has a speedup ratio of about 1.12x for the Rodinia test set and about 1.4x for the quda application.

Citation Download Citation

Lin Han, Youzhi Ren, Hongsheng Wang, Yunda Chai, and Dan Zhang "Cooperative compilation optimization of register allocation and thread management for AMDGPU", Proc. SPIE 12605, 2022 2nd Conference on High Performance Computing and Communication Engineering (HPCCE 2022), 126050D (13 April 2023); https://doi.org/10.1117/12.2673315

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