Информатика и вычислительная техника
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Trobec R., Vajter?ic M., Zinterhof P. (eds.) Parallel Computing. Numerics, Applications, and Trends
Издательство Springer, 2009, -530 pp.

The use of parallel programming and architectures is essential for simulating and solving problems in mode computational practice. There has been rapid progress in microprocessor architecture, interconnection technology and software development, which are influencing directly the rapid growth of parallel and distributed computing. However, in order to make these benefits usable in practice, this development must be accompanied by progress in the design, analysis and application aspects of parallel algorithms. In particular, new approaches from parallel numerics are important for solving complex computational problems on parallel and/or distributed systems.
The contributions to this book are focused on topics most conceed in the trends of today’s parallel computing. These range from parallel algorithmics, programming, tools, network computing to future parallel computing. Particular attention is paid to parallel numerics: linear algebra, differential equations, numerical integration, number theory and their applications in computer simulations, which together form the keel of the monograph. We expect that the book will be of interest to scientists working on parallel computing, doctoral students, teachers, engineers and mathematicians dealing with numerical applications and computer simulations of natural phenomena.
The roots of this book are in Parallel Numerics, an initiative that has been active in the Central European Region since 1994, starting with the Central European Initiative (CEI) joint research project Programming Environments, Algorithms, Applications, Compilers and Tools for Parallel Computation (PACT). The initial scope was focused on the new results and ideas related to parallel numerics. Later the research and applied interests were broadened to theoretical and practical aspects of parallel and distributed computing, creating a fruitful combination of theoretical and applied research. Besides numerical applications, the parallel solution of financial, medical and other problems from the natural and technical sciences has been incorporated. We are glad to see that the output of this initiative has become useful in everyday computational practice, through adopting new algorithmic solutions and/or progressive programming techniques and architectural improvements.

Overview. Parallel Computing: Numerics, Applications, and Trends
Introduction to Parallel Computation
Tools for Parallel and Distributed Computing
Grid Computing
Parallel Structured Adaptive Mesh Refinement
Applications and Parallel Implementation of QMC Integration
Parallel Evolutionary Computation Framework for Single- and Multiobjective Optimization
WaLBerla: Exploiting Massively Parallel Systems for Lattice Boltzmann Simulations
Parallel Pseudo-Spectral Methods for the Time-Dependent Schrodinger Equation
Parallel Approaches in Molecular Dynamics Simulations
Parallel Computer Simulations of Heat Transfer in Biological Tissues
Parallel SVD Computing in the Latent Semantic Indexing Applications for Data Retrieval
Short-Vector SIMD Parallelization in Signal Processing
Financial Applications: Parallel Portfolio Optimization
The Future of Parallel Computation
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