To our knowledge, this is the first algorithm which combines fast matrix multiplication with hashing for the light bulb problem or any closest pair problem, and it leads to faster algorithms for small ...

This paper reports the performances of an Intel Xeon Phi coprocessor and an Nvidia Tesla GPU for multiplication of large matrices. For this purpose, various libraries, such as Intel MKL and MAGMA, are ...

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

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 ...

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 ...