Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at Northeastern University in Boston, US, where he teaches generative AI ...

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 ...

Three-Dimensional NAND flash technology is one of the most competitive integrated solutions for the high-volume massive data storage. So far, there are few investigations on how to use 3-D NAND flash ...

Non-reciprocal magneto-optics memory enables an integrated photonic platform that supports powerful matrix-vector multiplication computing and fast, efficient, fatigue-free programming capabilities.

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 ...

This book examines the issues across the breadth of elasticity theory. Firstly, the underpinning mathematics of vectors and matrices is covered. Thereafter, the equivalence between the inidicial, ...

Star 246 Code Issues Pull requests [DEPRECATED] Moved to ROCm/rocm-libraries repo python machine-learning amd gpu assembly opencl dnn matrix-multiplication neural-networks gpu-acceleration blas hip ...