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CUTLASS: Principled Abstractions for Handling Multidimensional Data Through Tensors and Spatial Microkernels

In the era of generative AI, utilizing GPUs to their maximum potential is essential to training better models and serving users at scale. Often, these models…

In the era of generative AI, utilizing GPUs to their maximum potential is essential to training better models and serving users at scale. Often, these models have layers that cannot be expressed as off-the-shelf library operations due to subtle modifications, and DL compilers typically forgo the last few percentage points of optimizations to make their deployment feasible.

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