Principal Investigator Song Han
To execute DNNs on inexpensive, low-power embedded platform requires executing compressed, sparse DNNs. EIE is the first hardware accelerator for these highly-efficient networks. EIE exploits weight sparsity, weight sharing, and can skip zero activations from ReLU. Evaluated on nine DNN benchmarks, EIE is 189× and 13× faster, 24,000× and 3,000× more energy efficient than a CPU and GPU respectively. EIE both distributed storage and distributed computation to parallelize a sparsified layer across multiple PEs, which achieves load balance and good scalability. EIE is covered by TheNextPlatform, HackerNews, TechEmergence and Embedded Vision.