Ditemukan 18 dokumen yang sesuai dengan query
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This refereed volume arose from the editors' recognition that physical scientists, engineers, and applied mathematicians are developing, in parallel, solutions to problems of parallelization. The cross-disciplinary field of scientific computation is bringing about better communication between heterogeneous computational groups, as they face this common challenge. This volume is one attempt to provide cross-disciplinary communication.
Problem decomposition and the use of domain-based parallelism in computational science and engineering was the subject addressed at a workshop held ...
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Philadelphia : Society for Industrial and Applied Mathematics, 1995
e20442880
eBooks Universitas Indonesia Library
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Scientific computing has often been called the third approach to scientific discovery, emerging as a peer to experimentation and theory. Historically, the synergy between experimentation and theory has been well understood: experiments give insight into possible theories, theories inspire experiments, experiments reinforce or invalidate theories, and so on. As scientific computing has evolved to produce results that meet or exceed the quality of experimental and theoretical results, it has become indispensable.
Parallel processing has been an ...
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Philadelphia: Society for Industrial and Applied Mathematics, 2006
e20443179
eBooks Universitas Indonesia Library
Holger Brunst, editor
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The proceedings of the 5th International Workshop on Parallel Tools for High Performance Computing provide an overview on supportive software tools and environments in the fields of system management, parallel debugging and performance analysis. In the pursuit to maintain exponential growth for the performance of high performance computers the HPC community is currently targeting exascale systems. The initial planning for exascale already started when the first petaflop system was delivered. Many challenges need to be ...
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Berlin: Springer, 2012
e20406453
eBooks Universitas Indonesia Library
Jesper Larsson Traff, editor
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This book constitutes the refereed proceedings of the 19th European MPI Users' Group Meeting, EuroMPI 2012, Vienna, Austria, September 23-26, 2012. The 29 revised papers presented together with 4 invited talks and 7 poster papers were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on MPI implementation techniques and issues, benchmarking and performance analysis, programming models and new architectures, run-time support, fault-tolerance, message-passing algorithms, message-passing applications, IMUDI, improving MPI ...
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Berlin: Springer-Verlag, 2012
e20407883
eBooks Universitas Indonesia Library
Maciej Koutny, editor
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This book constitutes the thoroughly refereed proceedings of the 23rd International Conference on Concurrency Theory, CONCUR 2012, held in Newcastle upon Tyne, UK, September 4-7, 2012. The 35 revised full papers presented together with 4 invited talks were carefully reviewed and selected from 97 submissions. The papers are organized in topics such as reachability analysis, qualitative and timed systems, behavioural equivalences, temporal logics, session types, abstraction, mobility and space in process algebras, stochastic systems, probabilistic ...
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Heidelberg: [, Springer-Verlag], 2012
e20409417
eBooks Universitas Indonesia Library
Kepner, Jeremy
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Parallel MATLAB for Multicore and Multinode Computers is the first book on parallel MATLAB and the first parallel computing book focused on the design, code, debug, and test techniques required to quickly produce well-performing parallel programs.
MATLAB is currently the dominant language of technical computing with one million users worldwide, many of whom can benefit from the increased power offered by inexpensive multicore and multinode parallel computers. MATLAB is an ideal environment for learning about parallel ...
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Philadelphia: Society for Industrial and Applied Mathematics, 2009
e20450978
eBooks Universitas Indonesia Library
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This state-of-the-art survey features topics related to the impact of multicore, manycore, and coprocessor technologies in science and for large-scale applications in an interdisciplinary environment. The papers cover issues of current research in mathematical modeling, design of parallel algorithms, aspects of microprocessor architecture, parallel programming languages, hardware-aware computing, heterogeneous platforms, manycore technologies, performance tuning, and requirements for large-scale applications. The contributions presented in this volume offer a survey on the state of the art, the ...
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Berlin: Springer-Verlag, 2012
e20410364
eBooks Universitas Indonesia Library
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This two-volume-set (LNCS 7203 and 7204) constitutes the refereed proceedings of the 9th International Conference on Parallel Processing and Applied Mathematics, PPAM 2011, held in Torun, Poland, in September 2011. The 130 revised full papers presented in both volumes were carefully reviewed and selected from numerous submissions. The papers address issues such as parallel/distributed architectures and mobile computing, numerical algorithms and parallel numerics, parallel non-numerical algorithms, tools and environments for parallel/distributed/grid computing, applications of parallel/distributed ...
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Berlin : Springer-Verlag, 2012
e20410418
eBooks 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
Chanintorn Jittawiriyanukoon
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Time series big data dynamically changes the size, and, unfortunately, it may be difficult to curate the enormous amount of data due to the processing capacity and storage size. This big data allows researcher to iterate on the model millions of times over. To execute a regression on several billion rows of data on a distributed network, the resource capacity regarding large volumes of data and its distributed environment must be considered. Algorithms must be ...
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Depok: Faculty of Engineering, Universitas Indonesia, 2018
UI-IJTECH 9:1 (2018)
Artikel Jurnal Universitas Indonesia Library
