Titlebook: High Performance Computing - HiPC 2006; 13th International Yves Robert,Manish Parashar,Viktor K. Prasanna Conference proceedings 2006 Spr

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Debark

GEAR

High-Performance Computing for the Massesad, usage modes, programming models and systems architectures will be identified. Essential challenges and bottlenecks will be analyzed. He will highlight the newly formed e-Nation strategy for China of 2006-2020, and summarize R & D efforts in China to provide a high-performance computing infrastru

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博識

DEMN

A Cache-Partitioning Aware Replacement Policy for Chip Multiprocessorsent policies applied to shared caches fail to partition memory resources among cores to achieve an optimal execution throughput. This paper presents a novel replacement policy that dynamically estimates how many misses would be eliminated if one more block per set would be allocated to a certain pro

Silent-Ischemia

A Security-Oriented Task Scheduler for Heterogeneous Distributed Systems speeds and communication channels have different bandwidths. Although there are a few scheduling algorithms in the literature for heterogeneous distributed systems, they generally do not take into account of security requirements of applications. In this paper, we propose a novel heuristic scheduli

prostatitis

sigmoid-colon

Advanced Reservation-Based Scheduling of Task Graphs on Clusters. Subtasks exchange data via an interconnection network. The dependencies between subtasks are described by means of a Directed Acyclic Graph. Unfortunately, due to their characteristics, scheduling a TG requires dedicated or uninterruptible resources. Moreover, scheduling a TG by itself results in

遵循的規(guī)范

Estimation Based Load Balancing Algorithm for Data-Intensive Heterogeneous Grid Environments problems. One of the distinct characteristics of the Grid system is resource heterogeneity. The effective use of the Grid requires an approach to manage the heterogeneity of the involved resources that can include computers, data, network, etc. In this paper, we proposed a de-centralized and adapti