1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.DC2023
Efficient parallel implementation of the multiplicative weight update method for graph-based linear programs
Caleb Ju, Serif Yesil, Mengyuan Sun +2
Positive linear programs (LPs) model many graph and operations research problems. One can solve for a -approximation for positive LPs, for any selected , in polylogarithm…
cs.LG2023★ 1 cited
SENSEi: Input-Sensitive Compilation for Accelerating GNNs
Damitha Lenadora, Vimarsh Sathia, Gerasimos Gerogiannis +3
Over the years, many frameworks and optimization techniques have been proposed to accelerate graph neural networks (GNNs). Compared to the optimizations explored in these systems,…
cs.DC2017
On Dynamic Precision Scaling
Serif Yesil, Ismail Akturk, Ulya R. Karpuzcu
Based on the observation that application phases exhibit varying degrees of sensitivity to noise (i.e., accuracy loss) in computation during execution, this paper explores how Dyna…