43 citations · 45 across the 4 of their papers we have counts for
4 papers
Automatic Task Parallelization of Dataflow Graphs in ML/DL models
Srinjoy Das, Lawrence Rauchwerger
Several methods exist today to accelerate Machine Learning(ML) or Deep-Learning(DL) model performance for training and inference. However, modern techniques that rely on various gr…
Accelerating SARS-CoV-2 low frequency variant calling on ultra deep sequencing datasets
Bryce Kille, Yunxi Liu, Nicolae Sapoval +4
With recent advances in sequencing technology it has become affordable and practical to sequence genomes to very high depth-of-coverage, allowing researchers to discover low-freque…
Provably Optimal Parallel Transport Sweeps on Semi-Structured Grids
Michael P. Adams, Marvin L. Adams, W. Daryl Hawkins +7
We have found provably optimal algorithms for full-domain discrete-ordinate transport sweeps on a class of grids in 2D and 3D Cartesian geometry that are regular at a coarse level…
The Potential of Synergistic Static, Dynamic and Speculative Loop Nest Optimizations for Automatic Parallelization
Riyadh Baghdadi, Albert Cohen, Cedric Bastoul +2
Research in automatic parallelization of loop-centric programs started with static analysis, then broadened its arsenal to include dynamic inspection-execution and speculative exec…