Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using ...

Abstract: In this paper, we propose a scheme for matrix-matrix multiplication on a distributed-memory parallel ... Another feature of our algorithm is that it can give peak performance for larger ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

Will algorithms designed for interconnected computers hold up if some of the machines are not here on Earth but flying about ...

Ultimately, the new approach works because of how it encodes information. Classical computers use bits, which can take one of ...

In this paper, we consider Byzantine attack identification problem in coded computing for distributed matrix multiplication tasks. We propose locally testable codes which facilitate the efficient ...

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 ...

High-performance KNN similarity functions in Python, optimized for sparse matrices ...