Brain computer interfaces (BCIs) have been widely adopted to enhance human perception via brain signals with abundant spatial-temporal dynamics, such as electroencephalogram (EEG). In recent years, BCI algorithms are moving from classical feature …
With the advance of Artificial Neural Networks, GEMM has become a dominant arithmetic operation in compute-intensive applications. Multipliers contribute to a major portion of area and power consumed by conventional systems. This work proposes T-MAC …
General matrix multiply (GEMM) is an important operation in broad applications, especially the thriving deep neural networks. To achieve low power consumption for GEMM, researchers have already leveraged unary computing, which manipulates bitstreams …