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 Schrödinger Equation; Parallel Approaches in Molecular Dynamics Simulations
Parallel Computer Simulations of Heat Transfer in Biological TissuesParallel 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
Summary
Focuses on development of efficient parallel computational methods for different scientific and technical applications. This title discusses development of algorithms for different applications and other aspects related to parallel numerical solution of PDEs (eg, grid refinement). It covers molecular dynamics and computational quantum physics