Titlebook: Languages and Compilers for Parallel Computing; 27th International W James Brodman,Peng Tu Conference proceedings 2015 Springer Internation

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Memory Management Techniques for Exploiting RDMA in PGAS Languagesd Parallel C (UPC) is a well known PGAS language that is available on most high performance computing systems. Good performance of UPC applications is often one important requirement for a system acquisition. This paper presents the memory management techniques employed by the IBM XL UPC compiler to

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Change Detection Based Parallelism Mapping: Exploiting Offline Models and Online Adaptationllenging. Traditional offline compiler approaches exploit program knowledge but ignore the runtime environment. Online runtime approaches dynamically adapt to resources but ignore program structure. Furthermore, there is no mechanism to detect and improve the efficiency of these approaches during pr

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Conference proceedings 2015omputing, LCPC 2014, held in Hillsboro, OR, USA, in September 2014. The 25 revised full papers were carefully reviewed and selected from 39 submissions. The papers are organized in topical sections on accelerator programming; algorithms for parallelism; compilers; debugging; vectorization.

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0302-9743 submissions. The papers are organized in topical sections on accelerator programming; algorithms for parallelism; compilers; debugging; vectorization.978-3-319-17472-3978-3-319-17473-0Series ISSN 0302-9743 Series E-ISSN 1611-3349