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Autotuning Skeleton-Driven Optimizations for Transactional Worklist Applications
2012
IEEE Transactions on Parallel and Distributed Systems
Skeleton or pattern-based programming allows parallel programs to be expressed as specialized instances of generic communication and computation patterns. In addition to simplifying the programming task, such well structured programs are also amenable to performance optimizations during code generation and also at runtime. In this paper, we present a new skeleton framework that transparently selects and applies performance optimizations in transactional worklist applications. Using a novel
doi:10.1109/tpds.2012.140
fatcat:2bwqz5hyyngybmljeuhhgktiky