57 citations · 58 across the 2 of their papers we have counts for
3 papers
cs.AR2024
DFModel: Design Space Optimization of Large-Scale Systems Exploiting Dataflow Mappings
Sho Ko, Nathan Zhang, Olivia Hsu +2
We propose DFModel, a modeling framework for mapping dataflow computation graphs onto large-scale systems. Mapping a workload to a system requires optimizing dataflow mappings at v…
cs.LG2014★ 57 cited
Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems
Christopher De Sa, Kunle Olukotun, Christopher Ré
Stochastic gradient descent (SGD) on a low-rank factorization is commonly employed to speed up matrix problems including matrix completion, subspace tracking, and SDP relaxation. I…
cs.NE2012★ 1 cited
Utilizing Static Analysis and Code Generation to Accelerate Neural Networks
Lawrence McAfee, Kunle Olukotun
As datasets continue to grow, neural network (NN) applications are becoming increasingly limited by both the amount of available computational power and the ease of developing high…