This extension is the solution to a performance problem with the repeated multiplication of 2x2 numpy matrices in python. For some applications in computational science, it is necessary to take the ...

Abstract: Multicore processors are marking the beginning of a new era of computing where massive parallelism is available and necessary. Slightly slower but easy to parallelize kernels are becoming ...

With AlphaTensor, DeepMind Technologies has presented an AI system that is supposed to independently find novel, efficient and provably correct algorithms for complex mathematical tasks. AlphaTensor ...

Abstract: The multiplication of a sparse matrix with a dense vector (SpMV) is a key component in many numerical schemes and its performance is known to be severely limited by main memory access.

Please, proceed to MultiplyMatrix class and implement its multiply method. It takes two rectangular integer arrays (matrices) and returns the result of their multiplication. Note that it is guaranteed ...

Researchers Manuel Kauers and Jakob Moosbauer of Johannes Kepler University Linz have already broken Deepmind's record for matrix multiplication by one step, they write in their paper. They developed ...

Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine. This could eventually ...