HardCompress: A Novel Hardware-based Low-power Compression Scheme for DNN Accelerators

The ever-increasing computing requirements of Deep Neural Networks (DNNs) have accentuated the deployment of such networks on hardware accelerators. Inference execution of large DNNs often manifests as an energy bottleneck in such accelerators, especially when used in resource-constrained Internet-of-Things (IoT) edge devices. This can be primarily attributed to the massive energy incurred in acce...