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

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A Methodology for Fine-Grained Parallelism in JavaScript Applications,o grow and now includes applications such as games, office suites, and image editing tools traditionally developed using high performance languages. More recently, developers have been expanding the use of JavaScript with standards and implementations for server-side JavaScript. These trends are dri

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Evaluation of Power Consumption at Execution of Multiple Automatically Parallelized and Power Contriple media applications parallelized by the OSCAR compiler are executed simultaneously on RP2, a 8-core multicore processor developed by Renesas Electronics, Hitachi, and Waseda University. OSCAR compiler enables the hierarchical multigrain parallel processing and power reduction control using DVFS

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Double Inspection for Run-Time Loop Parallelization,ing inspectors are that it is hard to amortize their high run-time overheads by actually executing the loop in parallel, that they can only be applied to loops with dependencies that do not change during their execution and that they are often specifically designed for array codes and are in general

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OpenCL as a Programming Model for GPU Clusters,des. They are connected by an interconnection network, such as Gigabit and InfiniBand switches. Each compute node consists of multiple GPUs. Each GPU becomes an OpenCL compute device. The host node executes the host program in an OpenCL application. Our OpenCL framework provides an illusion of a sin

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CellCilk: Extending Cilk for Heterogeneous Multicore Platforms,he specific features of the cores are considered. Parallel programming, especially when applied to irregular task-parallel problems, is challenging itself. However, heterogeneous multicores add to that complexity due to their memory hierarchy and specialized accelerators. As a solution for these iss

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OPELL and PM: A Case Study on Porting Shared Memory Programming Models to Accelerators Architecturend heterogeneous ones. Homogeneous types are the easiest to use since most toolchains and system software do not need too much of a rewrite. On the other end of the spectrum, there are the type two heterogeneous designs. These designs offer tremendous computational raw power, but at the cost of hard

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