Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.

Overview: This C program performs matrix multiplication of two matrices entered by the user. It includes dynamic memory allocation for matrix storage and checks for compatibility before multiplication ...

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We propose and simulate a highly parallel, scalable and compact optical neural network accelerator which is able to perform matrix-matrix multiplication based on the microring modulators. Simulation ...

We demonstrate how these advances can drastically reduce the computing times of genotype matrix multiplications on CPUs and GPUs compared to double-precision matrix multiplication routines provided by ...

Last week, DeepMind announced it discovered a more efficient way to perform matrix multiplication, conquering a 50-year-old record.

An artificial-intelligence approach known as AlphaTensor found exact matrix-multiplication algorithms that are more efficient than those previously known for many matrix sizes.