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After Moore's Law, Do More Math! Structured Models For The Future

If you really want to get into the nuts and bolts of what s happening with learning models, listening to Joel Emer can be an instructive way to meditate on some of the. ....

Albert Einstein , Joel Emer , Karen Sollins ,

New techniques efficiently accelerate sparse tensors for massive AI models

New techniques efficiently accelerate sparse tensors for massive AI models
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Vivienne Sze , Taylor Swift , Zi Yu Xue , Joel Emer , Yannan Nellie Wu , Department Of Electrical Engineering , Mit Ai Hardware Program , Artificial Intelligence Laboratory , Research Laboratory Of Electronics , International Symposium On Microarchitecture , Electrical Engineering , Computer Science , Research Laboratory , Yannan Nellie Wu Phd ,

New techniques efficiently accelerate sparse

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. ....

Joel Emer , Yannan Nellie Wu , Zi Yu Xue , Taylor Swift , Vivienne Sze , Artificial Intelligence Laboratory , Research Laboratory Of Electronics , Department Of Electrical Engineering , Mit Ai Hardware Program , International Symposium On Microarchitecture , Electrical Engineering , Computer Science , Research Laboratory , Yannan Nellie Wu Phd ,

Accelerating AI tasks while preserving data security

Accelerating AI tasks while preserving data security
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South Korea , Mengjia Yan , Kyungmi Lee , Joel Emer , Anantha Chandrakasan , School Of Engineering , Korea Foundation For Advanced , Samsung Electronics , International Symposium On Microarchitecture , Artificial Intelligence Laboratory , Career Development Assistant Professor , Electrical Engineering , Computer Science , Vannevar Bush Professor , Korea Foundation ,

New techniques efficiently accelerate sparse tensors for massive AI models

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. ....

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 , Electrical Engineering , Computer Science , Research Laboratory , Yannan Nellie Wu Phd , Zi Yu Xue , Vivienne Sze , Joel Emer , Deep Neural Network Accelerator , Ensor Algebra , Taylor Swift , Ailors And Swiftiles ,