Fixed-point Encoding and Architecture Exploration for Residue Number Systems
Bobin Deng,
Bhargava Nadendla,
Kun Suo
et al.
Abstract:Residue Number Systems (RNS) demonstrate the fascinating potential to serve integer addition/multiplication-intensive applications. The complexity of Artificial Intelligence (AI) models has grown enormously in recent years. From a computer system’s perspective, ensuring the training of these large-scale AI models within an adequate time and energy consumption has become a big concern. Matrix multiplication is a dominant subroutine in many prevailing AI models, with an addition/multiplication-intensive attribut… Show more
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