Scaling communication-intensive applications on BlueGene/P using one-sided communication and overlap

  • Authors:

  • Rajesh Nishtala;Paul H. Hargrove;Dan O. Bonachea;Katherine A. Yelick

  • Affiliations:

  • Computer Science Division, College of Engineering, University of California at Berkeley, USA;High Performance Computing Research Department, Lawrence Berkeley National Laboratory, CA, USA;Computer Science Division, College of Engineering, University of California at Berkeley, USA;Computer Science Division, College of Engineering, University of California at Berkeley, USA

  • Venue:
  • IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
  • Year:
  • 2009

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Abstract

In earlier work, we showed that the one-sided communication model found in PGAS languages (such as UPC) offers significant advantages in communication efficiency by decoupling data transfer from processor synchronization. We explore the use of the PGAS model on IBM BlueGene/P, an architecture that combines low-power, quad-core processors with extreme scalability. We demonstrate that the PGAS model, using a new port of the Berkeley UPC compiler and GASNet one-sided communication layer, outperforms two-sided (MPI) communication in both microbenchmarks and a case study of the communication-limited benchmark, NAS FT. We scale the benchmark up to 16,384 cores of the BlueGene/P and demonstrate that UPC consistently outperforms MPI by as much as 66% for some processor configurations and an average of 32%. In addition, the results demonstrate the scalability of the PGAS model and the Berkeley implementation of UPC, the viability of using it on machines with multicore nodes, and the effectiveness of the BG/P communication layer for supporting one-sided communication and PGAS languages.