Abstract
OpenMP is a portable shared memory programming interface that promises high programmer productivity for multithreaded applications. It is designed for small and middle sized shared memory systems. We have developed strategies to extend OpenMP to clusters via compiler translation to a Global Arrays program. In this paper, we describe our implementation of the translation in the Open64 compiler, and we focus on the strategies to improve sequential region translations. Our work is based upon the open source Open64 compiler suite for C, C++, and Fortran90/95.
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Eachempati, D., Huang, L., Chapman, B. (2007). Strategies and Implementation for Translating OpenMP Code for Clusters. In: Perrott, R., Chapman, B.M., Subhlok, J., de Mello, R.F., Yang, L.T. (eds) High Performance Computing and Communications. HPCC 2007. Lecture Notes in Computer Science, vol 4782. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75444-2_42
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DOI: https://doi.org/10.1007/978-3-540-75444-2_42
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