National Natural Science Foundation of China [61602495, 61402039, 91430218, 9130324, 11401580]
; Key Research and Development Program [2017YFB0202104, 2016YFB200401]
; Innovation Program from the National University of Defense Technology [ZK16-03-06]
; Specialized Research Fund for State Key Laboratories of Space Weather, Chinese Academy of Sciences
; Open Research Fund of Key Laboratory of Spectral Imaging Technology, Chinese Academy of Sciences [LIST201602D]
英文摘要:
HPL is a Linpack benchmark package widely used in high-performance computing tests. Customizing the HPL is crucial for a heterogeneous system equipped with CPU and the China accelerator because of the complexity of the China accelerator and the specified interface on matrix multiplication built in the China accelerator. Therefore, it is advisable to use delicate partition and encapsulation on matrix (DPEM) to expose a friendly testing configuration. More importantly, we propose the orchestrating algorithm for matrix multiplication (OAMM) to enhance the efficiency of the heterogeneous system composed of CPU and China accelerator. Furthermore, optimization at vectorization (OPTVEC) is applied to shield the architectural details of the vector processing element (VPE) equipped in the China accelerator. The experimental results validate DPEM, OPTVEC and OAMM. OPTVEC optimizations would speed up matrix multiplication more than twofold, moreover OAMM would improve productivity by up to 10% compared to the traditional HPL tested in a heterogeneous system.
