Titlebook: Euro-Par 2011 Parallel Processing; 17th International E Emmanuel Jeannot,Raymond Namyst,Jean Roman Conference proceedings 2011 Springer-Ver

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https://doi.org/10.1007/978-3-322-88659-0ssing the processing power of modern parallel and distributed computers. Such algorithms and software allow to prototype and develop new large-scale applications, as well as to improve existing ones, by including up-to-date numerical methods, or well-assessed ones re-designed in the light of the new

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https://doi.org/10.1007/978-3-8349-3540-3bility. We present TPILU(k), the first efficiently parallelized ILU(k) preconditioner that maintains this important stability property. Even better, TPILU(k) preconditioning produces an answer that is bit-compatible with the sequential ILU(k) preconditioning. In terms of performance, the TPILU(k) pr

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Reverie

https://doi.org/10.1007/978-3-642-92174-2. “3D” algorithms arrange the . processors in a 3D array, and store redundant copies of the matrices on each of .. layers. ‘2D” algorithms such as Cannon’s algorithm store a single copy of the matrices on a 2D array of processors. We generalize these 2D and 3D algorithms by introducing a new class o

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緩和

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羽飾

https://doi.org/10.1007/978-3-642-92454-5tables and trees. These data structures have a range of predefined operations which include mapping, filtering or finding elements. Such bulk operations traverse the collection and process the elements sequentially. Their implementation relies on iterators, which are not applicable to parallel opera

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