We will start by considering a very simple randomized algorithm to approximate the product of two matrices. Matrix multiplication is a fundamental linear ...

Given an m xn matrix A and an n xp matrix B, we present 2 simple and intuitive algorithms to compute an approximation P to the product A .B, with provable.

Approximate Matrix Multiplication (AMM) has emerged as a useful and computationally inexpensive substitute for actual multiplication of large matrices.

Given two matrices A of size m ∗ n and B of size n ∗ p ,our goal is to produce an approximation to the matrix multiplication product A ∗ B. We do this by ...

5 окт. 2021 г. · MADDNESS requires zero multiply-add operations and runs 10x faster than other approximate methods and 100x faster than exact multiplication.

One especially powerful class of methods are algorithms for approximate matrix multiplication based on sampling.

12 нояб. 2020 г. · Basic problems in linear algebra: Matrix vector product: compute Ax. Matrix multiplication: compute AB. Linear equations: solve Ax = b.

21 июн. 2021 г. · We introduce a learning-based algorithm for this task that greatly outperforms existing methods. Experiments using hundreds of matrices from diverse domains

31 авг. 2021 г. · We introduce a learning-based algorithm for this task that greatly outperforms existing methods. Experiments using hundreds of matrices from diverse domains ...

An algorithm based on these functions for approximate matrix multiplication. Experiments across hundreds of diverse matrices demonstrate that this algorithm ...