3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 2 cited
Accelerating Neural Network Training: An Analysis of the AlgoPerf Competition
Priya Kasimbeg, Frank Schneider, Runa Eschenhagen +11
The goal of the AlgoPerf: Training Algorithms competition is to evaluate practical speed-ups in neural network training achieved solely by improving the underlying training algorit…
cs.LG2024★ 3 cited
Flex Attention: A Programming Model for Generating Optimized Attention Kernels
Juechu Dong, Boyuan Feng, Driss Guessous +2
Over the past 7 years, attention has become one of the most important primitives in deep learning. The primary approach to optimize attention is FlashAttention, which fuses the ope…