Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Cayley-Hamilton technique. Compared to other matrix inverse algorithms, ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

As someone who has spent over two decades in the embedded systems industry, I’ve seen the vast evolution of technology—from 8-bit microcontrollers to today’s sophisticated, multicore systems. Yet, one ...

In getting rid of matrix multiplication and running their algorithm on custom hardware, the researchers found that they could power a billion-parameter-scale language model on just 13 watts, about ...

In this work we present an original GPU-only parallel matrix-matrix multiplication algorithm (C = αA * B + βC) for servers with multiple GPUs connected by NVLink. The algorithm is implemented using ...

Perfecting that algorithm has been the key to breakthroughs in matrix multiplication efficiency over the past century—even before computers entered the picture.

Implement of a multi-threaded matrix multiplication program. The input to the program is two matrixes A(xy) and B(yz) that are read from corresponding text files. The output is a matrix C(x*z) that is ...

Video: DeepMind researchers trained an AI system called AlphaTensor to find new, faster algorithms for matrix multiplication. AlphaTensor quickly rediscovered — and surpassed, for some cases — the ...