Abstract: Modern data-driven applications expose limitations of von Neumann architectures-extensive data movement, low throughput, and poor energy efficiency. Accelerators improve performance but lack ...

Abstract: Exploring bit-level sparsity in the MAC process has been proven to be an important method for improving the efficiency of neural network feedforward processing. The reconfigurable platform ...