Matrix-vector multiplication (MVM) is a computational bottleneck for transformer inference workloads at resource-restricted edge applications. Efficient MVM accelerator design is crucial to optimizing ...
Abstract: Machine Learning and AI approaches have stretched traditional hardware to its limits. In-hardware computing is a novel approach that aims to run Matrix-Vector Multiplication operations ...
This project is intended for research purposes only. Use it at your own risk and discretion. Triton is a language and compiler for writing highly efficient ML primitives, one of the most common ...
the Register Transfer Level (RTL) implementation of a Bit-Serial Matrix-Vector Multiplication Unit, inspired by the Stripes Accelerator architecture. This project was developed as the Second ...
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