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Titlebook: Euro-Par 2012: Parallel Processing Workshops; BDMC, CGWS, HeteroPa Ioannis Caragiannis,Michael Alexander,Josef Weiden Conference proceeding

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樓主: 劉興旺
41#
發(fā)表于 2025-3-28 17:24:50 | 只看該作者
42#
發(fā)表于 2025-3-28 20:07:26 | 只看該作者
CoreGRID/ERCIM Workshop on Grids, Clouds and P2P Computing – CGWS2012om 44 different countries, developed theoretical foundations and software infrastructures for large-scale, distributed Grid and P2P applications. An ERCIM sponsored CoreGRID Working Group was established to ensure the continuity of the CoreGrid programme after the original funding period of the NoE.
43#
發(fā)表于 2025-3-29 02:07:21 | 只看該作者
44#
發(fā)表于 2025-3-29 04:49:37 | 只看該作者
Targeting Distributed Systems in ,upporting also a network of multi-core workstations. The extension supports the execution of . programs by coordinating–in a structured way–the fine grain parallel activities running on a single workstation. We discuss the design and the implementation of this extension presenting preliminary experi
45#
發(fā)表于 2025-3-29 10:35:37 | 只看該作者
46#
發(fā)表于 2025-3-29 14:31:00 | 只看該作者
47#
發(fā)表于 2025-3-29 19:09:13 | 只看該作者
A Science-Gateway Workload Archive to Study Pilot Jobs, User Activity, Bag of Tasks, Task Sub-steps,e gateways provide consistent access points to the infrastructure, and therefore are an interesting information source to cope with this issue. In this paper, we describe a workload archive acquired at the science-gateway level, and we show its added value on several case studies related to user acc
48#
發(fā)表于 2025-3-29 20:43:29 | 只看該作者
49#
發(fā)表于 2025-3-30 03:34:45 | 只看該作者
Tenth International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneousdition, in Rhodes Island, Greece. For the fourth time, this workshop was organized in conjunction with the Euro-Par annual series of international conferences dedicated to the promotion and advancement of all aspects of parallel computing.
50#
發(fā)表于 2025-3-30 06:28:34 | 只看該作者
Unleashing CPU-GPU Acceleration for Control Theory ApplicationsPU-GPU platforms, in particular advanced optimization via look-ahead and iterative refinement. Our experimental evaluation on the last GPU-generation from NVIDIA, “Kepler”, shows the slight advantage of matrix inversion via Gauss-Jordan elimination, when combined with look-ahead, over the traditiona
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