<span class="Apple–style–span" style="border–collapse: separate; color: rgb(0, 0, 0); font–family: ′Times New Roman′; font–style: normal; font–variant: normal; font–weight: normal; letter–spacing: normal; line–height: normal; orphans: 2; text–align: –webkit–auto; text–indent: 0px; text–transform: none; white–space: normal; widows: 2; word–spacing: 0px; –webkit–border–horizontal–spacing: 0px; –webkit–border–vertical–spacing: 0px; –webkit–text–decorations–in–effect: none; –webkit–text–size–adjust: auto; –webkit–text–stroke–width: 0px; font–size: medium; "><span class="Apple–style–span" style="color: rgb(17, 17, 17); font–family: verdana, arial, helvetica, sans–serif; font–size: 13px; text–align: –webkit–left; ">The 2013 International Workshop on Programming Models and Applications<span class="Apple–converted–space"> </span><br>for Multicores and Manycores will be co–located with the PPoPP 2013<span class="Apple–converted–space"> </span><br>conference in February 23–27, 2013, Shenzhen, China.<span class="Apple–converted–space"> </span><br>Rapid advancements in multicore and chip–level multi–threading<span class="Apple–converted–space"> </span><br>technologies open new challenges and make multicore systems a part of<span class="Apple–converted–space"> </span><br>the computing landscape. From high–end servers to mobile phones,<span class="Apple–converted–space"> </span><br>multicores and manycores are steadily entering every single aspect of the<span class="Apple–converted–space"> </span><br>information technology.<span class="Apple–converted–space"> </span><br>However most programmers are trained in sequential programming, yet most<span class="Apple–converted–space"> </span><br>existing parallel programming models are prone to errors such as data<span class="Apple–converted–space"> </span><br>race and deadlock. Therefore to fully utilise multicore and manycore<span class="Apple–converted–space"> </span><br>hardware, parallel programming models that allow easy transition of<span class="Apple–converted–space"> </span><br>sequential programs to parallel programs with good performance and<span class="Apple–converted–space"> </span><br>enable development of error–free codes are urgently needed.<span class="Apple–converted–space"> </span><br>This workshop is dedicated primarily to gather researchers and<span class="Apple–converted–space"> </span><br>practitioners addressing the main challenges and share experiences in<span class="Apple–converted–space"> </span><br>the emerging multicore and manycore software engineering and distributed<span class="Apple–converted–space"> </span><br>programming paradigm. This workshop aims to provide a discussion forum<span class="Apple–converted–space"> </span><br>for people interested in programming environments, models, tools and<span class="Apple–converted–space"> </span><br>applications specifically designed for parallel multicore and manycore<span class="Apple–converted–space"> </span><br>hardware environments.<span class="Apple–converted–space"> </span><br>The program committee cordially invites any novel research ideas in (but<span class="Apple–converted–space"> </span><br>not limited to) the following topics:<span class="Apple–converted–space"> </span><br>* multicore and manycore programming models and systems<span class="Apple–converted–space"> </span><br>* multicore and manycore software engineering<span class="Apple–converted–space"> </span><br>* performance and utilisation metrics<span class="Apple–converted–space"> </span><br>* performance analysis, efficiency and effectiveness<span class="Apple–converted–space"> </span><br>* experiments of massively multicore / manycore systems and clusters<span class="Apple–converted–space"> </span><br>* automated parallelization and compilation techniques<span class="Apple–converted–space"> </span><br>* debugging and runtime optimizations tools for multicore / manycore<span class="Apple–converted–space"> </span><br>applications<span class="Apple–converted–space"> </span><br>* parallel applications and benchmarks on multicore / manycore systems<span class="Apple–converted–space"> </span><br>* power saving metrics, protocols and benchmarks of multicore /<span class="Apple–converted–space"> </span><br>manycore systems and clusters<span class="Apple–converted–space"> </span><br></span></span>
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PMAM
City
Shenzhen
Country
China
Deadline Paper
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