Abstract
HPC system and processor architectures are trending toward increasing numbers of cores and tall, narrow memory hierarchies. As a result, programmers have embraced hybrid parallel programming as a means of tuning for such architectures. While popular HPC communication middlewares, such as MPI, allow the use of threads, most fall short of fully-integrating threads with the communication model. The OpenSHMEM contexts proposal promises thread isolation and direct mapping of threads to network resources; however, fully realizing these potentials will be dependent upon support for efficient threaded communication through the underlying layers of the networking stack. In this paper, we explore the mapping of OpenSHMEM contexts to the new OpenFabrics Interfaces (OFI) libfabric communication layer and use the libfabric GNI provider to access the Aries interconnect. We describe the design of our multithreaded OpenSHMEM middleware and evaluate both the programmability and performance impacts of contexts on single- and multi-threaded OpenSHMEM programs. Results indicate that the mapping of contexts to the Aries interconnect through libfabric incurs low overhead and that contexts can provide significant performance improvements to multithreaded OpenSHMEM programs.
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Acknowledgments
This research was funded in part by the United States Department of Defense, and was supported by resources at Los Alamos National Laboratory. This publication has been approved for public, unlimited distribution by Los Alamos National Laboratory, with document number LA-UR-17-26416.
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Grossman, M., Doyle, J., Dinan, J., Pritchard, H., Seager, K., Sarkar, V. (2018). Implementation and Evaluation of OpenSHMEM Contexts Using OFI Libfabric. In: Gorentla Venkata, M., Imam, N., Pophale, S. (eds) OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence. OpenSHMEM 2017. Lecture Notes in Computer Science(), vol 10679. Springer, Cham. https://doi.org/10.1007/978-3-319-73814-7_2
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