Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

Having this library installed alongside a compressed blocks mod with a high compression factor (in my case CB: Compressed Blocks by Sashiro) causes network packet errors that make worlds unjoinable in ...

Constant multiplication circuits can be realized multiplierless by using additions, subtractions, and bit-shifts. The problem of finding a multiplication circuit with minimum adders and subtractors ...