Auto-vectorization through code generation for stream processing applications

Authors:
Huayong Wang;Henrique Andrade;Bugra Gedik;Kun-Lung Wu
Affiliations:
IBM China Research Lab, Beijing, China;IBM T. J. Watson Research Center, Hawthorne, NY, USA;IBM T. J. Watson Research Center, Hawthorne, NY, USA;IBM T. J. Watson Research Center, Hawthorne, NY, USA
Venue:
Proceedings of the 23rd international conference on Supercomputing
Year:
2009

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Abstract

We describe language- and code generation-based approaches to providing access to architecture-specific vectorization support for high-performance data stream processing applications. We provide an experimental performance evaluation of several stream operators, contrasting our code generation approach with the native auto-vectorization support available in the GNU gcc and Intel icc compilers.