Titlebook: Euro-Par 2001 Parallel Processing; 7th International Eu Rizos Sakellariou,John Gurd,John Keane Conference proceedings 2001 Springer-Verlag

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ALOFT

https://doi.org/10.1007/978-3-642-65287-5 particular conditions of the execution. dynamic utomatic performance tuning environment supported by dynamic instrumentation techniques is presented. The environment is completed by pattern based pplication design tool that llows the user to concentrate on the design phase nd facilitates on the fly overcoming of performance bottlenecks.

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VAN

https://doi.org/10.1007/978-3-642-91437-9t negligible solution complexity. The prediction method applies to a wide range of workload distributions as found in practice, while its accuracy is better or equal compared to comparable low-cost approaches.

ADOPT

The Anatomy of the Grid: Enabling Scalable Virtual Organizationsnsiderable progress has since been made on the construction of such an infrastructure (e.g., [.,.,.) but the term “Grid” has also been conflated, at least in popular perception, to embrace everything from advanced networking to artificial intelligence. One might wonder whether the term has any real

consolidate

Software Component Technology for High Performance Parallel and Grid Computing large volumes of not-very-reusable code. The software industry has been using component technology to build desktop applications for about ten years now. More recently this idea has been extended to application in distributed systems with frameworks like the Corba Component Model and Enterprise Jav

Extemporize

Macro- and Micro-parallelism in a DBMSwe review our research on building relational engines to exploit this major shift in hardware perspective. It illustrates that key design issues related to parallelism poses architectural problems at all levels of a system architecture and whose impact is not easily predictable. The sheer size/compl

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An Introduction to the Gilgamesh PIM Architectureed and high-density storage for main memory have been disparate, requiring different fabrication techniques. This was certainly true at the beginning of the era of electronic digital computers where logic was constructed from vacuum tubes and main memory was produced by wired arrays of magnetic core

Opponent

High Performance Computing and Trends: Connecting Computational Requirements with Computing Resourcerformance applications, but: Resources are dispersed, Connectivity is variable, Dedicated access is not possible..In this talk we advocate the‘Computational Grids’ to support ‘large-scale’ applications. These must provide transparent access to the complex mix of resources — computational, networking

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