Researchers at MIT's Computer Science & Artificial Intelligence ... that speeds up machine learning using approximate matrix multiplication (AMM). MADDNESS requires zero multiply-add operations ...

Nearly all big science, machine learning ... employ algorithms that involve large matrix-matrix multiplication. But multiplying large matrices pushes the number of floating point operations and the ...

Ever since the Strassen algorithm was published in 1969, computer science ... games, data compression and more. Today, companies use expensive GPU hardware to boost matrix multiplication ...

The most widely used matrix ... multiplication is size. To naïvely multiply two n by n matrices requires n 3 floating point operations, and n 2 data movement. This becomes immediately unmanageable ...