An Effective Strategy for Porting C++ Applications on Cell

Authors:
Ana Lucia Varbanescu;Henk Sips;Kenneth A. Ross;Qiang Liu;Lurng-Kuo Liu;Apostol (Paul) Natsev;John R. Smith
Affiliations:
Delft University of Technology, the Netherlands;Delft University of Technology, the Netherlands;Columbia University, USA;IBM CRL, China;IBM T.J. Watson Research Center, USA;IBM T.J. Watson Research Center, USA;IBM T.J. Watson Research Center, USA
Venue:
ICPP '07 Proceedings of the 2007 International Conference on Parallel Processing
Year:
2007

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Abstract

In this paper we present a solution for efficient porting of sequential C++ applications on the Cell B.E. processor. We present our step-by-step approach, focusing on its generality, we provide a set of code templates and optimization guidelines to support the porting, and we include a set of equations to estimate the performance gain of the new application. As a case-study, we show the use of our solution on a multimedia content analysis application, named MARVEL. The results of our experiments with MARVEL prove the significant performance increase in favor of the application running on Cell when compared with the reference implementation.