Titlebook: Computational Science — ICCS 2001; International Confer Vassil N. Alexandrov,Jack J. Dongarra,C. J. Kennet Conference proceedings 2001 Spri

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Metacomputing with the Harness and IceT Systemse use the term metacomputing in a broad sense to include clusters of workstations with high-speed interconnects, loosely coupled local network clusters, and wide area configurations spanning multiple architectures, machine ranges, and administrative domains. These modes of distributed computing are

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A Data Broker for Distributed Computing Environmentsng environments; the Distributed Data Broker (DDB). The DDB provides a flexible mechanism for coupling codes with different grid resolutions and data representations. The target applications are coupled systems that deal with large volumes of data exchanges and/or are computational expensive. These

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A Family of High-Performance Matrix Multiplication Algorithmsation kernels. These include the PHiPAC project and the ATLAS project. The software end-products of both projects employ brute force to search a parameter space for blockings that accommodate multiple levels of memory hierarchy. We take a different approach: using a simple model of hierarchical memo

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Performance Evaluation of Heuristics for Scheduling Pipelined Multiprocessor Tasksocessor architecture designed for real-time operations. MIMD parallelism and multiprogramming support are the two main characteristics of multiprocessor architecture considered. The solution methodology includes different techniques including simulated annealing, tabu search, as well as well-known s

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W. Bruce Campbell,Silvia López-Ortízh high performance parallel BLAS and LAPACK routines that scale to as many processors as possible. It is also desirable that users can obtain some level of parallel performance merely by relinking their codes with SMP Math Libraries. This talk outlines the major design decisions taken in providing O

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