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Titlebook: Euro-Par 2000 Parallel Processing; 6th International Eu Arndt Bode,Thomas Ludwig,Roland Wismüller Conference proceedings 2000 Springer-Verl

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楼主: exterminate
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ToolBlocks: An Infrastructure for the Construction of Memory Hierarchy Analysis Toolsapid development of memory hierarchy models and analysis. With this system, a user may build cache and prefetching models and insert complex analysis and visualization tools to monitor their performance.
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Die Cerebralen Vegetativen Anfällefor parallel and distributed scientific appli- cations to send their distributed data to OViD’s object pool. Another interface allows multiple visualization systems to attach to a running simulation, access the collected data from the pool, and send steering data back.
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https://doi.org/10.1007/978-3-642-90662-6 processor speed. With several levels of caches we now have complex system architectures which, in principal, provide plenty of options to keep the ata as close as possible to the processor. Nevertheless, compiler evelopment proceeds in slow progression, an the single PE still dominates the results achieve on large parallel machines.
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https://doi.org/10.1007/978-3-642-91582-6 sequential and parallel applications. Our results show that the new search method performs its search while inserting dramatically less instrumentation into the application, resulting in reduced application perturbation and consequently a higher degree of diagnosis accuracy.
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Pajé: An Extensible Environment for Visualizing Multi-threaded Programs Executionsmponents to ease the replacement of existing modules or the implementation of new ones. In addition the genericity of Pajé allows application programmers to tailor the visualization to their needs, by simply adding tracing orders to the programs being traced.
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Conference proceedings 2000ects of parallel computing. The major themes can be divided into the broad categories of hardware, software, algorithms, and applications for parallel computing. The objective of Euro-Par is to provide a forum within which to promote the dev- opment of parallel computing both as an industrial techni
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https://doi.org/10.1007/3-540-44520-XCluster Computing; Dsitributed Systems; Hardware; High Perfcormance Networking; Interconnection Networks
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