Abstract: We extend the theory and practice regarding algorithmic fault-tolerant matrix-matrix multiplication, C=AB, in a number of ways. First, we propose low-overhead methods for detecting errors ...
Fluminum is a high-performance console program written in C++, designed for matrix multiplication and comparison, taking into account modern hardware accelerations. It implements SIMD (single ...
This project provides an implementation of matrix multiplication and matrix transpose with testing and benchmarking capabilities using GoogleTest and Google Benchmark. If you modify CMakeLists.txt, re ...
Algorithms have been used throughout the world’s civilizations to perform fundamental operations for thousands of years. However, discovering algorithms is highly challenging. Matrix multiplication is ...
Nearly all big science, machine learning, neural network, and machine vision applications employ algorithms that involve large matrix-matrix multiplication. But multiplying large matrices pushes the ...
Matrix multiplication involves the multiplication of two matrices to produce a third matrix – the matrix product. This allows for the efficient processing of multiple data points or operations ...
Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...
Current custom AI hardware devices are built around super-efficient, high performance matrix multiplication. This category of accelerators includes the host of AI chip startups and defines what more ...