Applied Parallel and Scientific Computing

1. Front Matter

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2. – Keynote Papers and General Topics

   1. Keynote Papers

      1. On Aggressive Early Deflation in Parallel Variants of the QR Algorithm

         • Bo Kågström, Daniel Kressner, Meiyue Shao

         Pages 1-10

      2. Limits to Nonlinear Inversion

         • Klaus Mosegaard

         Pages 11-21

      3. Cache Blocking

         • Fred G. Gustavson

         Pages 22-32

3. General Topics

   1. Cloud Computing

      1. A Model for Efficient Onboard Actualization of an Instrumental Cyclogram for the Mars MetNet Mission on a Public Cloud Infrastructure

         • Jose Luis Vázquez-Poletti, Gonzalo Barderas, Ignacio M. Llorente, Pilar Romero

         Pages 33-42

   2. HPC Algorithms

      1. Impact of Asynchronism on GPU Accelerated Parallel Iterative Computations

         • Sylvain Contassot-Vivier, Thomas Jost, Stéphane Vialle

         Pages 43-53

      2. Simulation of Seismic Waves Propagation in Multiscale Media: Impact of Cavernous/Fractured Reservoirs

         • Victor Kostin, Vadim Lisitsa, Galina Reshetova, Vladimir Tcheverda

         Pages 54-64

      3. Improvements of a Fast Parallel Poisson Solver on Irregular Domains

         • Andreas Adelmann, Peter Arbenz, Yves Ineichen

         Pages 65-74

      4. Distributed Java Programs Initial Mapping Based on Extremal Optimization

         • Eryk Laskowski, Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Richard Olejnik

         Pages 75-85

   3. HPC Programming Tools

      1. Software Environment for Parallel Optimization of Complex Systems

         • Ewa Niewiadomska-Szynkiewicz, Michal Marks

         Pages 86-96

      2. Parallel Programming in Morpho

         • Snorri Agnarsson

         Pages 97-107

      3. Extending Distributed Shared Memory for the Cell Broadband Engine to a Channel Model

         • Kenneth Skovhede, Morten N. Larsen, Brian Vinter

         Pages 108-118

      4. Global Asynchronous Parallel Program Control for Multicore Processors

         • Janusz Borkowski, Marek Tudruj, Adam Smyk, Damian Kopanski

         Pages 119-130

   4. HPC in Meteorology

      1. Highly Scalable Dynamic Load Balancing in the Atmospheric Modeling System COSMO-SPECS+FD4

         • Matthias Lieber, Verena Grützun, Ralf Wolke, Matthias S. Müller, Wolfgang E. Nagel

         Pages 131-141

      2. Interactive Weather Simulation and Visualization on a Display Wall with Many-Core Compute Nodes

         • Bård Fjukstad, Tor-Magne Stien Hagen, Daniel Stødle, Phuong Hoai Ha, John Markus Bjørndalen, Otto Anshus

         Pages 142-151

   5. Parallel Numerical Algorithms

      1. The Algorithm of Multiple Relatively Robust Representations for Multi-core Processors

         • Matthias Petschow, Paolo Bientinesi

         Pages 152-161

      2. Parallelization of Multilevel ILU Preconditioners on Distributed-Memory Multiprocessors

         • José I. Aliaga, Matthias Bollhöfer, Alberto F. Martín, Enrique S. Quintana-Ortí

         Pages 162-172

      3. CUDA 2D Stencil Computations for the Jacobi Method

         • José María Cecilia, José Manuel García, Manuel Ujaldón

         Pages 173-183

      4. Streaming Model Computation of the FDTD Problem

         • Adam Smyk, Marek Tudruj

         Pages 184-192

      5. Numerical Aspects of Spectral Segmentation on Polygonal Grids

         • Anna Matsekh, Alexei Skurikhin, Lakshman Prasad, Edward Rosten

         Pages 193-203

The two volume set LNCS 7133 and LNCS 7134 constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Applied Parallel and Scientific Computing, PARA 2010, held in Reykjavík, Iceland, in June 2010. These volumes contain three keynote lectures, 29 revised papers and 45 minisymposia presentations arranged on the following topics: cloud computing, HPC algorithms, HPC programming tools, HPC in meteorology, parallel numerical algorithms, parallel computing in physics, scientific computing tools, HPC software engineering, simulations of atomic scale systems, tools and environments for accelerator based computational biomedicine, GPU computing, high performance computing interval methods, real-time access and processing of large data sets, linear algebra algorithms and software for multicore and hybrid architectures in honor of Fred Gustavson on his 75th birthday, memory and multicore issues in scientific computing - theory and praxis, multicore algorithms and implementations for application problems, fast PDE solvers and a posteriori error estimates, and scalable tools for high performance computing.

• algebraic multigrid
• distributed systems
• genetic algorithms
• symbolic computation
• vectorization
• algorithm analysis and problem complexity
• complexity

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