Abstract: Approximate computing benefits applications that are, to some extent, error tolerant with regard to accuracy by trading power for accuracy. In this paper, a ...
A new study digs into why modern AI models stumble over multi-digit multiplication and what kind of training finally makes ...
Abstract: High-radix Montgomery Modular Multiplication (MMM) is flexible and consumes fewer cycles, but turns inefficient especially when it comes to low-bit calculation. In this brief, we propose a ...