New methods effectively speed up sparse tensors for enormous AI fashions | MIT Information
Researchers from MIT and NVIDIA have developed two methods that speed up the processing of sparse tensors, a sort of information construction that’s used for high-performance computing duties. The complementary methods might lead to important enhancements to the efficiency and energy-efficiency of techniques like the large machine-learning fashions that drive generative synthetic intelligence. Tensors are […]
