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Titlebook: Euro-Par 2010 - Parallel Processing; 16th International E Pasqua D’Ambra,Mario Guarracino,Domenico Talia Conference proceedings 2010 Spring

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Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modelingmproved performance by ×6.7 on a system of ODEs arising in cardiac electrophysiology running on the nVidia GTX-295, without requiring expert knowledge of the GPU. Our transformations should apply to a wide range of ..
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Performance Prediction and Evaluationnference topic “Performance Prediction and Evaluation”, was to bring together system designers and researchers involved with the qualitative and quantitative evaluation and modeling of large-scale parallel and distributed applications and systems (e.g., Grids, Cloud computing environments, multicore architectures).
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A Delay-Based Dynamic Load Balancing Method and Its Stability Analysis and Simulational control law is obtained not only for the different delay conditions but also in a scalable system scale. At last, the simulation experiments based on multi-threads proved the validity of the theory and method introduced.
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https://doi.org/10.1007/978-3-642-91157-6ributions with solid theoretical foundations and experimental validations on production-level parallel and distributed systems were particularly valued. This year, we encouraged submissions proposing intelligent monitoring and diagnosis tools and environments, which can exploit behavior knowledge to
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Das Angebot elektrischer Arbeit as well as critical paths to suggest algorithmic rewrites of programs with little of it..We validate our claims by running our tool over . of sample Cilk programs, finding additional inherent parallelism not exploited by the Cilk code, as well as over serial C benchmarks where the profiling results
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Der elektrische Strom im organischen Gewebese study that shows our system achieves more than 80% reduction in the number of pages that are loaded for several HPC applications while causing no performance overhead for reasonably long running programs.
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https://doi.org/10.1007/978-3-642-92383-8e and quantify under what situations its use will not impact application performance. We show that, for current AMD and Intel multi-core processors, spare-cores can be used for substantial computational tasks but can impact application performance when using shared caches or when significantly acces
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