A Multi-Dimensional Evaluation Framework for Matrix-Based AI Accelerators: GPU, FPGA, and ASIC
. The fast developing pace in deep learning is giving pressure on computing hardware continuously. In many practical cases, model size and training cost increase faster than the performance improvement of general-purpose processors. The huge different pace between them makes a gap called “ compute gap ” . Consequently,...