SC is the International Conference for
 High Performnance Computing, Networking, Storage and Analysis

SCHEDULE: NOV 13-19, 2010

OpenMPC: Extended OpenMP Programming and Tuning for GPUs

SESSION: Programming Models

EVENT TYPE: Paper, Best Student Paper (BSP) Finalist

TIME: 1:30PM - 2:00PM

SESSION CHAIR: Kenjiro Taura

AUTHOR(S):Seyong Lee, Rudolf Eigenmann


General-Purpose Graphics Processing Units (GPGPUs) are promising parallel platforms for high performance computing. The CUDA (Compute Unified Device Architecture) programming model provides improved programmability for general computing on GPGPUs. However, its unique execution model and memory model still pose significant challenges for developers of efficient GPGPU code. This paper proposes a new programming interface, called OpenMPC, which builds on OpenMP to provide an abstraction of the complex CUDA programming model, and offers high-level controls of the involved parameters and optimizations. We have developed a fully automatic compilation and user-assisted tuning system supporting OpenMPC. In addition to a range of compiler transformations and optimizations, the system includes tuning capabilities for generating, pruning and navigating the search space of compilation variants. Our results demonstrate that OpenMPC offers both programmability and tunability. Our system achieves 88% of the performance of the hand-coded CUDA programs.

Chair/Author Details:

Kenjiro Taura (Chair) - University of Tokyo

Seyong Lee - Purdue University

Rudolf Eigenmann - Purdue University

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The full paper can be found in the ACM Digital Library and IEEE Computer Society

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