New techniques efficiently accelerate sparse tensors for mas

New computational techniques, “HighLight” and “Tailors and Swiftiles,” could dramatically boost the speed and performance of high-performance computing applications like graph analytics or generative AI. The work, from MIT and NIVIDIA, aims to accelerate sparse tensors for AI models by introducing more efficient and flexible ways to take advantage of sparsity.

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Joel Emer , Taylor Swift , Zi Yu Xue , Yannan Nellie Wu , Vivienne Sze , International Symposium On Microarchitecture , Artificial Intelligence Laboratory , Mit Ai Hardware Program , Department Of Electrical Engineering , Research Laboratory Of Electronics , Nvidia , Electrical Engineering , Computer Science , Research Laboratory , Yannan Nellie Wu Phd , Sparsity , Deep Neural Network Accelerator , Ensor Algebra , Ailors And Swiftiles ,