Google’s AlphaEvolve AI, its latest coding agent for algorithm discovery, has improved on a 56-year-old algorithm for matrix multiplication. “Provided with a minimal code skeleton for a computer ...

However, current photonic architectures are often inflexible and limited in supporting dynamic matrix multiplications ... productions on a single wavelength and supports complex-valued multiplication ...

Abstract: In this paper, we propose a scheme for matrix-matrix multiplication on a distributed-memory parallel computer. The scheme hides almost all of the communication cost with the computation and ...

DBCSR is a library designed to efficiently perform sparse matrix-matrix multiplication, among other operations. It is MPI and OpenMP parallel and can exploit Nvidia and AMD GPUs via CUDA and HIP. To ...

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 ...