Compute Unified Device Architecture (CUDA) was developed as a GPU parallel programming platform and API, primarily designed for use with C/C++. Over the years, fundamental linear algebra ...

Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network ...

Climate & Sustainability Researchers run high-performing large language model on the energy needed to power a lightbulb UC Santa Cruz researchers show that it is possible to eliminate the most ...

Matrix multiplication (MatMul) is a fundamental operation in most neural networks, primarily because GPUs are highly optimized for these computations. Despite its critical role in deep learning, ...

Large language models (LLMs) frequently require the majority of their computing work to be done via matrix multiplication. As these models grow in embedding dimensions and context lengths, this load ...