Issue No. 06 - November/December (2008 vol. 10)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2008.152
Paul R. Woodward , University of Minnesota
Jagan Jayaraj , University of Minnesota
Pei-Hung Lin , University of Minnesota
Pen-Chung Yew , University of Minnesota
A restructuring method for implementing numerical algorithms for scientific computing can help them run efficiently on the IBM Cell processor and other multicore CPUs. Using the PPM gas dynamics algorithm as an example, this work walks through code transformation techniques step by step that can boost performance of scientific simulation codes.
high performance computing, multicore computation, Cell processor, program transformations for performance
P. Lin, P. Yew, P. R. Woodward and J. Jayaraj, "Moving Scientific Codes to Multicore Microprocessor CPUs," in Computing in Science & Engineering, vol. 10, no. , pp. 16-25, 2008.