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High-Performance Scientific Computing
This book presents the state of the art in parallel numerical algorithms, applications, architectures, and system software. The book examines various solutions for issues of concurrency, scale, energy efficiency, and programmability, which are discussed in the context of a diverse range of applications. Features: includes contributions from an international selection of world-class authorities; examines parallel algorithm-architecture interaction through issues of computational capacity-based codesign and automatic restructuring of programs using compilation techniques; reviews emerging applications of numerical methods in information retrieval and data mining; discusses the latest issues in dense and sparse matrix computations for modern high-performance systems, multicores, manycores and GPUs, and several perspectives on the Spike family of algorithms for solving linear systems; presents outstanding challenges and developing technologies, and puts these in their historical context.
Numerical Algorithms for Modern Parallel Computer Architectures
Parallel computers have started to completely revolutionize scientific computation. Articles in this volume represent applied mathematics, computer science, and application aspects of parallel scientific computing. Major advances are discussed dealing with multiprocessor architectures, parallel algorithm development and analysis, parallel systems and programming languages. The optimization of the application of massively parallel architectures to real world problems will provide the impetus for the development of entirely new approaches to these technical situations.
High Performance Algorithms for Structured Matrix Problems
Comprises 10 contributions that summarize the state of the art in the areas of high performance solutions of structured linear systems and structured eigenvalue and singular-value problems. Topics covered range from parallel solvers for sparse or banded linear systems to parallel computation of eigenvalues and singular values of tridiagonal and bidiagonal matrices. Specific paper topics include: the stable parallel solution of general narrow banded linear systems; efficient algorithms for reducing banded matrices to bidiagonal and tridiagonal form; a numerical comparison of look-ahead Levinson and Schur algorithms for non-Hermitian Toeplitz systems; and parallel CG-methods automatically optimized for PC and workstation clusters. Annotation copyrighted by Book News, Inc., Portland, OR
Parallel Processing for Scientific Computing
Mathematics of Computing -- Parallelism.
Object Oriented Methods for Interoperable Scientific and Engineering Computing
Contains papers presented at the October 1998 SIAM Workshop on Object Oriented Methods for Interoperable Scientific and Engineering Computing that covered a variety of topics and issues related to designing and implementing computational tools for science and engineering.
Applications of Supercomputers in Engineering: Fluid flow and stress analysis applications
Hardbound. This book is based on the proceedings of the first of a new International Conference series convened to increase the awareness of the potential of new supercomputers amongst scientists and engineers.These 22 papers deal with algorithms for supercomputing, distributed computer systems, as well as user experience and benchmarking. A further 17 selected papers are published in a companion volume entitled Applications of Supercomputers in Engineering: Algorithms, Computer Systems and User Experience edited by C.A. Brebbia and A. Peters. Both volumes are essential reading for all industrial researchers and academics who are involved in calculations using supercomputers and also for those wanting to keep abreast of future trends.
Subject Catalog
None
The Future of Supercomputing
The Committee on the Future of Supercomputing was tasked to assess prospects for supercomputing technology research and development in support of U.S. needs, to examine key elements of context-the history of supercomputing, the erosion of research investment, the changing nature of problems demanding supercomputing, and the needs of government agencies for supercomputing capabilities-and to assess options for progress. This interim report establishes context-including the history and current state of supercomputing, application requirements, technology evolution, the socioeconomic context-to identify some of the issues that may be explored in more depth in the second phase of the study.
