They break large matrix problems into smaller segments and solve them simultaneously using an algorithm. Improvements to this algorithm have been key to breakthroughs in matrix multiplication ...

One of the most fundamental mathematical tools outside of everyday arithmetic has seen its first improvement in 24 years. Although the new method of matrix multiplication, an essential tool for ...

Prior implementations of Strassen's matrix multiplication algorithm on GPUs traded additional workspace in the form of global memory or registers for time. Although Strassen's algorithm offers a ...

The theoretical problem is how to multiple a dense n x n matrix of elements of a ring. I.e. they have two operators, one acts like multiplication and the other acts like addition.

One particular problem being intractable is all well and good, but we have, today, in mass deployment, plenty of AI techniques that depend on matrix multiplication.