Abstract
The scalability of an OpenMP program in a ccNUMA system with a large number of processors suffers from remote memory accesses, cache misses and false sharing. Good data locality is needed to overcome these problems whereas OpenMP offers limited capabilities to control it on ccNUMA architecture. A so-called SPMD style OpenMP program can achieve data locality by means of array privatization, and this approach has shown good performance in previous research. It is hard to write SPMD OpenMP code; therefore we are building a tool to relieve users from this task by automatically converting OpenMP programs into equivalent SPMD style OpenMP. We show the process of the translation by considering how to modify array declarations, parallel loops, and showing how to handle a variety of OpenMP constructs including REDUCTION, ORDERED clauses and synchronization. We are currently implementing these translations in an interactive tool based on the Open64 compiler.
This work was partially supported by the DOE under contract DE-FC03-01ER25502 and by the Los Alamos National Laboratory Computer Science Institute (LACSI) through LANL contract number 03891-99-23.
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Liu, Z., Chapman, B., Weng, TH., Hernandez, O. (2003). Improving the Performance of OpenMP by Array Privatization. In: Voss, M.J. (eds) OpenMP Shared Memory Parallel Programming. WOMPAT 2003. Lecture Notes in Computer Science, vol 2716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45009-2_19
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DOI: https://doi.org/10.1007/3-540-45009-2_19
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