XcalableMP implementation and performance of NAS Parallel Benchmarks
Proceedings of the Fourth Conference on Partitioned Global Address Space Programming Model
An extension of XcalableMP PGAS lanaguage for multi-node GPU clusters
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing
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)
Audit: A new synchronization API for the GET/PUT protocol
Journal of Parallel and Distributed Computing
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Although MPI is a de-facto standard for parallel programming on distributed memory systems, writing MPI programs is often a time-consuming and complicated process. XcalableMP is a language extension of C and Fortran for parallel programming on distributed memory systems that helps users to reduce those programming efforts. XcalableMP provides two programming models. The first one is the global view model, which supports typical parallelization based on the data and task parallel paradigm, and enables parallelizing the original sequential code using minimal modification with simple, OpenMP-like directives. The other one is the local view model, which allows using CAF-like expressions to describe inter-node communication. Users can even use MPI and OpenMP explicitly in our language to optimize performance explicitly. In this paper, we introduce XcalableMP, the implementation of the compiler, and the performance evaluation result. For the performance evaluation, we parallelized HPCC Benchmark in XcalableMP. It shows that users can describe the parallelization for distributed memory system with a small modification to the original sequential code.