Ditemukan 3 dokumen yang sesuai dengan query
Muhammad Sujatmiko
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ABSTRAK
Tesis ini membahas disain, implementasi dan analisa kinerja algoritma paralel integrasi numerik adaptif yang mempunyai paradigma tree computation. Implementasi algoritma paralel ini dilakukan pada jaringan komputer PC dengan bahasa pemrograman C yang berbasis PVM (parallel virtual machine). Ujicoba pengukuran dan analisa kinerja dari algoritma tersebut dilakukan pada jumlah slave yang bervariasi dari mesin-mesin komputer yang heterogen. Parameter-parameter yang diukur adalah nilai speedup, efisiensi penggunaan prosesor, computation to communication ratio, job allocation untuk ...
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1998
T-Pdf
UI - Tesis Membership Universitas Indonesia Library
Gallivan, K.A.
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Describes a selection of important parallel algorithms for matrix computations. Reviews the current status and provides an overall perspective of parallel algorithms for solving problems arising in the major areas of numerical linear algebra, including (1) direct solution of dense, structured, or sparse linear systems, (2) dense or structured least squares computations, (3) dense or structured eigenvaluen and singular value computations, and (4) rapid elliptic solvers. The book emphasizes computational primitives whose efficient execution on ...
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Philadelphia : Society for Industrial and Applied Mathematics, 1990
e20442937
eBooks Universitas Indonesia Library
Douglas, Craig C.
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This compact yet thorough tutorial is the perfect introduction to the basic concepts of solving partial differential equations (PDEs) using parallel numerical methods. In just eight short chapters, the authors provide readers with enough basic knowledge of PDEs, discretization methods, solution techniques, parallel computers, parallel programming, and the run-time behavior of parallel algorithms to allow them to understand, develop, and implement parallel PDE solvers. Examples throughout the book are intentionally kept simple so that the ...
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Philadelphia : Society for Industrial and Applied Mathematics, 2003
e20442971
eBooks Universitas Indonesia Library