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

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Scheduling Parallel Eigenvalue Computations in a Quantum Chemistry Codealized eigenvalue problem of a Hamilton matrix. Although in many cases its execution time is small relative to other numerical tasks, its complexity of . is higher, thus more significant in larger applications. For parallel QC codes, it therefore is advantageous to have a scalable solver for this st

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Hdl348

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Scalable Producer-Consumer Pools Based on Elimination-Diffraction Treesof extensive research and development. For example, there are three common ways to implement such pools in the Java JDK6.0: the ., the ., and the .. Unfortunately, most pool implementations, including the ones in the JDK, are based on centralized structures like a queue or a stack, and thus are limi

Cognizance

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Exploiting Fine-Grained Parallelism on Cell Processorser to take advantage of increasingly parallel hardware, independent tasks must be expressed at a fine level of granularity to maximize the available parallelism and thus potential speedup. However, the efficiency of this approach depends on the runtime system, which is responsible for managing and d

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Optimized On-Chip-Pipelined Mergesort on the Cell/B.E.will become even more problematic with an increasing number of cores. Especially for streaming computations where the ratio between computational work and memory transfer is low, transforming the program into more memory-efficient code is an important program optimization. In earlier work, we have p

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Generators-of-Generators Library with Optimization Capabilities in Fortressy called .. It provides a set of primitives, GoGs, to produce nested data structures. A program developed with these GoGs is automatically optimized by the optimization mechanism in the library, so that its asymptotic complexity can be improved. We demonstrate its implementation on the Fortress language and report some experimental results.

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Die Energienachfrage privater Haushalteity of memory references can be increased and a better utilization of the cache hierarchy can be achieved. Runtime experiments on modern parallel computer systems show that the optimized implementations can deliver a high scalability.