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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
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DTSTART:20111113T163000Z
DTEND:20111114T010000Z
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DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Developers need a comprehensive set of strategies and technologies for tackling parallel programming. Intel Parallel Building Blocks is such a comprehensive set of technologies, and includes Threading Building Blocks (now extremely popular), Cilk (from MIT), and Array Building Blocks (from RapidMind).  PBB supports a set of sophisticated and structured parallel programming strategies.  Many patterns of parallel computation are supported from fork-join parallelism to collective vector operations.  PBB supports multiple hardware mechanisms for performance through parallelism, including vectorization (SIMD instructions), multicore, and co-processor offload.  Static and dynamic compilation are available.=0A=0AWe introduce PBB and demonstrate detailed usage through a number of examples.  Examples cover a range of algorithmic patterns and application domains, including scientific computation, finance, and imaging.  Since PBB integrates a number of different programming paradigms, multiple approaches to solving the same problems are compared.  Includes live demonstrations of build processes, performance and scalability analysis, and performance optimization.
SUMMARY:S15: Understanding Intel Parallel Building Blocks
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