Titlebook: Applied Parallel Computing. New Paradigms for HPC in Industry and Academia; 5th International Wo Tor Sørevik,Fredrik Manne,Randi Moe Confer

摘要

LAWRA Linear Algebra with Recursive Algorithmsorization for general matrices, and .. factorization for symmetric indefinite matrices using recursion are formulated in this paper. Performance graphs of our packed Cholesky and .. algorithms are presented here.

狂热语言

利用

Atrium

JavaGrande— High Performance Computing with Javaming lan- guage It has has worked on complex numbers, multidimensional arrays, fast object serializations, and a high-speed remote method invocation (RMI). Results about the new field of research that has been started by the JavaGrande Forum have been recognized both internationally and within Sun Microsystems.

好色

On the Efficiency of Scheduling Algorithms for Parallel Gaussian Elimination with Communication Delaondition when communications are overlapped by the computations. Using this analysis we propose a simple heuristic for scheduling Gaussian elimination tasks. We compare the efficiency of this scheduling algorithm with the efficiency of the block and cycling data distributions.

揭穿真相

Malaise

A Local Refinement Algorithm for Data Partitioninghere the workload changes slightly. The algorithm has been compared with corresponding methods in . and . in the context of multilevel partitioning. The cost of carrying out the partitioning with our method is lower than in . and of the same order as in ., and still the quality of the partitioning is comparable and in some cases even better.

稀释前

苦笑

Einführung in die Warteschlangentheorieed processors. Asynchronous communication is used to overlap communication with computation. In this paper, we report on recently integrated features and illustrate the present performance of the solver on an SGI Origin 2000 and a CRAY T3E.

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Parallel Triangular Sylvester-Type Matrix Equation Solvers for SMP Systems Using Recursive Blocking effciency on shared memory processor (SMP) systems. Uniprocessor and SMP parallel performance results are presented and compared with results from existing LAPACK routines for solving this type of matrix equations.