Publication | Closed Access
The Open Community Runtime: A runtime system for extreme scale computing
59
Citations
14
References
2016
Year
Unknown Venue
Cluster ComputingEngineeringComputer ArchitectureSoftware EngineeringHigh Performance ComputingParallel ComputingMassively-parallel ComputingOpen Source SupercomputingHybrid ProgrammingComputer EngineeringComputer ScienceExtreme ScaleRuntime SystemOpen Community RuntimeScalable ComputingOcr PerformanceProgram AnalysisParallel Performance EvaluationCloud ComputingParallel ProgrammingOpen Community ModelSystem Software
The Open Community Runtime (OCR) is a new runtime system designed to meet the needs of extreme-scale computing. While there is growing support for the idea that future execution models will be based on dynamic tasks, there is little agreement on what else should be included. OCR minimally adds events for synchronization and relocatable data-blocks for data management to form a complete system that supports a wide range of higher-level programming models. This paper lays out the fundamental concepts behind OCR and compares OCR performance to that from MPI for two simple benchmarks. OCR has been developed within an open community model with features supporting flexible algorithm expression weighed against the expected realities of extreme-scale computing: power-constrained execution, aggressive growth in the number of compute resources, deepening memory hierarchies and a low mean-time between failures.
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