SC13 Home > SC13 Schedule > SC13 Presentation - Task Profiling through OpenMP Runtime API and Tool Support

SCHEDULE: NOV 16-22, 2013

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Task Profiling through OpenMP Runtime API and Tool Support

SESSION: Research Poster Reception

EVENT TYPE: Posters, Electronic Posters, and Education Posters

TIME: 5:15PM - 7:00PM

AUTHOR(S):Ahmad Qawasmeh, Abid M. Malik, Deepak Eachempati, Barbara M. Chapman

ROOM:Mile High Pre-Function

The introduction of tasks in the OpenMP programming model brings a new level of parallelism. This also creates new challenges with respect to its applicability through an event-based performance profiling. The OpenMP Architecture Review Board (ARB) approved an interface specification known as the "OpenMP Runtime API (ORA) for Profiling" to enable performance tools to interact with OpenMP programs. With negligible overheads, we propose new extensions to the ORA for profiling task-level parallelism. We implement these extensions in the open-source OpenUH compiler. We present an efficient method to distinguish individual task instances to capture their associated events. These events illustrate the behavior of OpenMP tasks and identify the overheads associated with the OpenMP tasking model. Additionally, we integrate our ORA into the performance tool TAU to visualize task measurements at the construct-level. The proposed extensions are in line with the specification recently proposed by the OpenMP tools committee for task profiling.

Chair/Author Details:

Ahmad Qawasmeh - University of Houston

Abid M. Malik - University of Houston

Deepak Eachempati - University of Houston

Barbara M. Chapman - University of Houston

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