Co-array Fortran for parallel programming
ACM SIGPLAN Fortran Forum
UPC performance and potential: a NPB experimental study
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
OpenMPD: A Directive-Based Data Parallel Language Extension for Distributed Memory Systems
ICPPW '08 Proceedings of the 2008 International Conference on Parallel Processing - Workshops
ICPPW '10 Proceedings of the 2010 39th International Conference on Parallel Processing Workshops
Titanium performance and potential: an NPB experimental study
LCPC'05 Proceedings of the 18th international conference on Languages and Compilers for Parallel Computing
Hybrid parallel programming on SMP clusters using XPFortran and OpenMP
IWOMP'10 Proceedings of the 6th international conference on Beyond Loop Level Parallelism in OpenMP: accelerators, Tasking and more
Productivity and Performance of Global-View Programming with XcalableMP PGAS Language
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
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XcalableMP is a parallel extension of existing languages, such as C and Fortran, that was proposed as a new programming model to facilitate program parallel applications for distributed memory systems. In order to investigate the performance of parallel programs written in XcalableMP, we have implemented NAS Parallel Benchmarks, specifically, the Embarrassingly Parallel (EP) benchmark, the Integer Sort (IS) benchmark, and the Conjugate Gradient (CG) benchmark, using XcalableMP. The results show that the performance of XcalableMP is comparable to that of MPI. In particular, the performances of IS with a histogram and CG with two-dimensional parallelization achieve almost the same performance. The results also demonstrate that XcalableMP allows a programmer to write efficient parallel applications at a lower programming cost.