No 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.