Reconfigurable Architecture for Emerging Neural Networks

A single computer architecture for unified neural network operations.

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.


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