13 citations · 14 across the 5 of their papers we have counts for
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cs.DC2022
Improving Scalability with GPU-Aware Asynchronous Tasks
Jaemin Choi, David F. Richards, Laxmikant V. Kale
Asynchronous tasks, when created with over-decomposition, enable automatic computation-communication overlap which can substantially improve performance and scalability. This is no…
cs.DC2021★ 13 cited
Performance Evaluation of Python Parallel Programming Models: Charm4Py and mpi4py
Zane Fink, Simeng Liu, Jaemin Choi +2
Python is rapidly becoming the lingua franca of machine learning and scientific computing. With the broad use of frameworks such as Numpy, SciPy, and TensorFlow, scientific computi…
cs.DC2021
Accelerating Communication for Parallel Programming Models on GPU Systems
Jaemin Choi, Zane Fink, Sam White +3
As an increasing number of leadership-class systems embrace GPU accelerators in the race towards exascale, efficient communication of GPU data is becoming one of the most critical…