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Titlebook: Languages and Compilers for Parallel Computing; 24th International W Sanjay Rajopadhye,Michelle Mills Strout Conference proceedings 2013 Sp

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Dynamic Task Parallelism with a GPU Work-Stealing Runtime System,time system. We compare performance results using our runtime to direct execution on the device as well as past work on GPU runtimes. Finally, we show how this runtime can be targeted by extensions to the high-level CnC-CUDA programming model.
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0302-9743 oceedings of the 24th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2011, held in Fort Collins, CO, USA, in September 2011. The 19 revised full papers presented and 19 poster papers were carefully reviewed and selected from 52 submissions. The scope of the workshop s
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Fine-Grained Treatment to Synchronizations in GPU-to-CPU Translation,instance level. Based on thread-level dependence graphs, we present a method to enable such fine-grained treatment automatically. Experiments demonstrate that compared to existing translations, the new approach can yield speedup of a factor of integers.
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0302-9743 pans the theoretical and practical aspects of parallel and high-performance computing, and targets parallel platforms including concurrent, multithreaded, multicore, accelerator, multiprocessor, and cluster systems.978-3-642-36035-0978-3-642-36036-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Okwan Kwon,Fahed Jubair,Seung-Jai Min,Hansang Bae,Rudolf Eigenmann,Samuel P. Midkiffand penalties tied to the HITECH Act, HIPAA, and the implementation of Electronic Health Record (EHR) systems, medical practices and healthcare systems are implementing new software at breakneck speed. Yet privacy and security considerations are often an afterthought, putting healthcare organization
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