SCHEDULE: NOV 16-22, 2013

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Semi-Automatic Restructuring of Offloadable Tasks for Many-Core Accelerators

SESSION: GPU Programming

EVENT TYPE: Papers

TIME: 11:30AM - 12:00PM

SESSION CHAIR: Michael Garland

AUTHOR(S):Nishkam Ravi, Yi Yang, Tao Bao, Srimat Chakradhar

ROOM:205/207

ABSTRACT:
We propose a new directive to add relaxed semantics to directive-based languages for accelerators. The compiler identifies and generates one or more offloadable tasks in the neighborhood of the code region marked by the directive. Central to our contribution is the idea of sub-offload and super-offload. In sub-offload, only part of the code region marked by the developer is offloaded to the accelerator, while the other part executes on the CPU in parallel. In super-offload, a code region larger than the one specified by the developer is declared as the offloadable task (e.g., a parent loop). We develop Elastic Offload Compiler (EOC) for use alongside existing directive-based languages. The current implementation supports LEO for the new Intel Xeon Phi (MIC) architecture. We evaluate EOC with respect to SpecOMP and NAS Parallel Benchmarks. Speedups range between 1.3x-4.4x with the CPU version as baseline and 1.2x-24x with the CPU-MIC version as baseline.

Chair/Author Details:

Michael Garland (Chair) - NVIDIA

Nishkam Ravi - NEC Laboratories America

Yi Yang - NEC Laboratories America

Tao Bao - Purdue University

Srimat Chakradhar - NEC Laboratories America

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The full paper can be found in the ACM Digital Library