18 citations · 72 across the 24 of their papers we have counts for
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cs.LG2026
Hardware-Aware Features for CUTLASS Kernel Selection
Shriram Chandran, Dominic Rinderer, Yakup Budanaz +3
GPU libraries such as CUTLASS expose tens of thousands of semantically equivalent kernels for a single operation, making exhaustive autotuning expensive and execution-free selectio…
cs.LG2025
DaCe AD: Unifying High-Performance Automatic Differentiation for Machine Learning and Scientific Computing
Afif Boudaoud, Alexandru Calotoiu, Marcin Copik +1
Automatic differentiation (AD) is a set of techniques that systematically applies the chain rule to compute the gradients of functions without requiring human intervention. Althoug…