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Titlebook: Languages and Compilers for Parallel Computing; 29th International W Chen Ding,John Criswell,Peng Wu Conference proceedings 2017 The Editor

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0302-9743 op on Languages and Compilers for Parallel Computing, LCPC 2016, held in Rochester, NY, USA, in September 2016..The 20 revised full papers presented together with 4 short papers were carefully reviewed. The papers are organized in topical sections on large scale parallelism, resilience and persisten
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Energy Avoiding Matrix Multiplychip variance and allows all possible resources to be utilized, which is necessary for future near-threshold voltage designs. Initial results, obtained on a future many-core simulator targeting the Traleika Glacier architecture, give initial estimates of memory reads and writes to all parts of the chip as well as relative energy consumption.
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Fast Approximate Distance Queries in Unweighted Graphs Using Bounded Asynchrony allowed, leading to higher performance at the expense of a loss of precision. Results of an implementation of this algorithm are presented on up to 32,768 cores, showing 2.27x improvement over the exact KLA algorithm and 3.8x improvement over the level-synchronous version with minimal error on several graph inputs.
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Polyhedral Compiler Technology in Collaboration with Autotuning Important to Domain-Specific Framewoortant classes of high-performance computing domains. Such an approach has the following advantages over other strategies: (1) composability; (2) software reuse; and, (3) facilitates performance portability.
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