Tue 25 Jun 2019 09:10 - 09:30 at 228AB - Parallelism and Super Computing I Chair(s): Veselin Raychev

This paper proposes TaskProf2, a parallelism profiler and an adviser for task parallel programs. As a parallelism profiler, TaskProf2 pinpoints regions with serialization bottlenecks, scheduling overheads, and secondary effects of execution. As an adviser, TaskProf2 identifies regions that matter in improving parallelism. To accomplish these objectives, it uses a performance model that captures series-parallel relationships between various dynamic execution fragments of tasks and includes fine-grained measurement of computation in those fragments. Using this performance model, TaskProf2’s what-if analyses identify regions that improve the parallelism of the program while considering tasking overheads. Its differential analyses perform fine-grained differencing of an oracle and the observed performance model to identify static regions experiencing secondary effects. We have used TaskProf2 to identify regions with serialization bottlenecks and secondary effects in many applications.

Tue 25 Jun
Times are displayed in time zone: (GMT-07:00) Tijuana, Baja California change

08:30 - 09:30: PLDI Research Papers - Parallelism and Super Computing I at 228AB
Chair(s): Veselin RaychevDeepCode AG
pldi-2019-papers08:30 - 08:50
Tanvir Ahmed KhanUniversity of Michigan, USA, Yifan ZhaoUniversity of Michigan, USA, Gilles PokamIntel Corporation, Barzan MozafariUniversity of Michigan, USA, Baris KasikciUniversity of Michigan, USA
Media Attached
pldi-2019-papers08:50 - 09:10
Martin KongBrookhaven National Laboratory, Louis-Noël PouchetColorado State University
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pldi-2019-papers09:10 - 09:30
Adarsh YogaRutgers University, USA, Santosh NagarakatteRutgers University, USA
Pre-print Media Attached