Applied Parallel and Scientific Computing [E-Book] : 11th International Conference, PARA 2012, Helsinki, Finland, June 10-13, 2012, Revised Selected Papers / edited by Pekka Manninen, Per Öster.
Manninen, Pekka.
Öster, Per.
Berlin, Heidelberg : Springer, 2013
XII, 568 p. 186 illus. digital.
Lecture notes in computer science ; 7782
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Table of Contents:
  • Computational Physics on Graphics Processing Units
  • Preparing Scientific Application Software for Exascale Computing
  • PRACE DECI (Distributed European Computing Initiative) Minisymposium
  • Parallel Electronic Structure Calculations Using Multiple Graphics Processing Units
  • An Environment for Service Composition, Execution and Resource Allocation
  • Multicore and Accelerator Development for a Leadership-Class Stellar Astrophysics Code
  • Steering and In-situ Visualization for Simulation of Seismic Wave Propagation on Graphics Cards
  • PCJ - New Approach for Parallel Computations in Java
  • Parallel Numerical Simulation of Seismic Waves Propagation with Intel Math Kernel Library
  • Blocked Schur Algorithms for Computing the Matrix Square Root
  • Distributed Evolutionary Computing System Based on Web Browsers with JavaScript
  • Parallel Implementation of the Sherman-Morrison Matrix Inverse Algorithm
  • Parallel Interval Newton Method on CUDA
  • Heterogeneous Multi-agent Evolutionary System for Solving Parametric Interval Linear Systems
  • Interval Finite Difference Method for Solving the One-Dimensional Heat Conduction Problem with Heat Sources
  • Interval Arithmetic and Automatic Differentiation on GPU Using OpenCL
  • Tuning the Interval Algorithm for Seeking Pareto Sets of Multi-criteria Problems
  • A Central-Backward Difference Interval Method for Solving the Wave Equation
  • Using State-of-the-Art Sparse Matrix Optimizations for Accelerating the Performance of Multiphysics Simulations
  • Schedule Optimisation for Interactive Parallel Structure Simulations
  • Computational Chemistry Studies of LIGNOLs
  • A Lightweight Task Graph Scheduler for Distributed High-Performance Scientific Computing.