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

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 ...

Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also ...

in this file, i implemented llama3 from scratch, one tensor and matrix multiplication at a time. also, im going to load tensors directly from the model file that meta provided for llama3, you need to ...

We compare the performances of the coprocessor and the GPU in terms of running time, memory requirement, and programming difficulty for the special case of matrix-matrix multiplication.

Analyze the time and space complexity of your solution. Compare your solution to others and identify areas for improvement.