Reconfigurable Architecture for Emerging Neural Networks

Emerging deep neural networks introduce more diverse operations than general matrix multiply (GEMM), thus slowing the current GEMM-centric acceleration techniques.

Designing reconfigurable architectures is worth the efforts by executing those emerging deep neural networks efficiently with minimized hardware overheads.