18 citations · 36 across the 5 of their papers we have counts for
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cs.LG2019★ 7 cited
Scheduling optimization of parallel linear algebra algorithms using Supervised Learning
G. Laberge, S. Shirzad, P. Diehl +3
Linear algebra algorithms are used widely in a variety of domains, e.g machine learning, numerical physics and video games graphics. For all these applications, loop-level parallel…
cs.DC2019★ 5 cited
An Introduction to hpxMP: A Modern OpenMP Implementation Leveraging HPX, An Asynchronous Many-Task System
Tianyi Zhang, Shahrzad Shirzad, Patrick Diehl +3
Asynchronous Many-task (AMT) runtime systems have gained increasing acceptance in the HPC community due to the performance improvements offered by fine-grained tasking runtime syst…