High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using ...

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

As June comes to a close, edie and our innovation partner Springwise highlight six of this month’s exciting innovation ...

Matrix multiplication is an important topic of linear algebra and is something that is not intuitive as you might think. When you think about multiplication and matrix, the thing that comes to your ...

In this paper, we propose a scheme for matrix-matrix multiplication on a distributed-memory parallel computer. The scheme hides almost all of the communication cost with the computation and uses the ...

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 ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

Montgomery Multiplication: An algorithm that efficiently computes modular multiplication by eliminating the need for explicit division, via a transformation into a specialised domain.

If your algorithm solves a real problem in a non-obvious way, it’s worth exploring protection. If you can describe its technical function and improvements clearly, it may qualify.