Publication | Closed Access
Sequoia: Programming the Memory Hierarchy
207
Citations
30
References
2006
Year
Unknown Venue
Cluster ComputingEngineeringPresent SequoiaComputer ArchitectureMemory Model (Programming)Parallel SoftwareMemory HierarchyParallel ComputingCompilersMemory ManagementMassively-parallel ComputingParallelizing CompilerSequoia ProgramsComputer EngineeringComputer ScienceExternal-memory AlgorithmProgram AnalysisCloud ComputingParallel ProgrammingParallel Programming ModelSystem Software
We present Sequoia, a programming language designed to facilitate the development of memory hierarchy aware parallel programs that remain portable across modern machines featuring different memory hierarchy configurations. Sequoia abstractly exposes hierarchical memory in the programming model and provides language mechanisms to describe communication vertically through the machine and to localize computation to particular memory locations within it. We have implemented a complete programming system, including a compiler and runtime systems for cell processor-based blade systems and distributed memory clusters, and demonstrate efficient performance running Sequoia programs on both of these platforms
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