In many application areas, certain parts of the algorithm, which was then implemented in a computer programming environment can be run in parallel. Individual sections of the application can be sent ...

The problem, matrix multiplication, is a crucial type of calculation at the heart of many different applications, from displaying images on a screen to simulating complex physics. It is also ...

DeepMind’s paper also pointed out that AlphaTensor discovers a richer space of matrix multiplication algorithms than previously thought — up to thousands for each size.

Multiplying two rectangular number arrays, known as matrix multiplication, plays a crucial role in today's AI models, including speech and image recognition, chatbots from every major vendor, AI ...

Matrix multiplication - where two grids of numbers are multiplied together - forms the basis of many computing tasks, and an improved technique discovered by an artificial intelligence could boost ...

It is compatible across many different compilers, languages, operating systems, linking, and threading models. In particular, the Intel MKL DGEMM function for matrix-matrix multiplication is highly ...