Computer News: New techniques efficiently accelerate sparse tensors for massive AI models

[bob_turner]

Researchers from MIT and NVIDIA have developed two techniques that accelerate the processing of sparse tensors, a type of data structure that’s used for high-performance computing tasks. The complementary techniques could result in significant improvements to the performance and energy-efficiency of systems like the massive machine-learning models that drive generative artificial intelligence. Tensors are data structures used by machine-learning models. Both of the new methods seek to...

Read more