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Engineering Concurrent Software Guided by Statistical Performance Analysis

By Clemens Grelck A, Kevin Hammond B, Heinz Hertlein C, Philip Hölzenspies B, Chris Jesshope A, Raimund Kirner D, Bernd Scheuermann E, Alex Shafarenko D, Iraneus Te Boekhorst D, Volkmar Wieser F and Bioid Gmbh Nürnberg


Abstract. This paper introduces the ADVANCE approach to engineering concurrent systems using a new component-based approach. A cost-directed tool-chain maps concurrent programs onto emerging hardware architectures, where costs are expressed in terms of programmer annotations for the throughput, latency and jitter of components. These are then synthesized using advanced statistical analysis techniques to give overall cost information about the concurrent system that can be exploited by the hardware virtualisation layer to drive mapping and scheduling decisions. Initial performance results are presented, showing that the ADVANCE technologies provide a promising approach to dealing with near- and future-term complexities of programming heterogeneous multi-core systems

Topics: software engineering, parallel programming, stream-processing, statistical performance
Year: 2013
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