An Efficient Application Specific Instruction Set Processor (ASIP) for Tensor Computation
Wei-pei Huang, Ray C. C. Cheung, Hong Yan · 2019
In the past decade, tensor computation is widely used in different areas. Various software toolbox have been released to assist tensor computation. However, there is still no hardware architecture to accelerate the tensor computation. This paper presents an efficient application specific instruction set processor (ASIP) for tensor computation. Different tensor computations are fully optimized in terms of resource usage and performance. We implement the ASIP on FPGA platform. We test our design by implementing the CANDECOMP/PARAFAC(CP) decomposition. Our design can achieve a low resource usage and run at 141 Mhz.