High Performance Computing for Computational Science - VECPAR 2012

This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on High Performance Computing for Computational Science, VECPAR 2012, held in Kope, Japan, in July 2012. The 28 papers presented together with 7 invited talks were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on CPU computing, applications, finite element method from various viewpoints, cloud and visualization performance, method and tools for advanced scientific computing, algorithms and data analysis, parallel iterative solvers on multicore architectures.

[1]  Douglas Thain,et al.  Distributed computing in practice: the Condor experience , 2005, Concurr. Pract. Exp..

[2]  Masataka Ando,et al.  Evidence of large scale repeating slip during the 2011 Tohoku‐Oki earthquake , 2011 .

[3]  A. Coutinho,et al.  Edge‐based finite element techniques for non‐linear solid mechanics problems , 2001 .

[4]  Takashi Furumura,et al.  Strong ground motions from the 2011 off-the Pacific-Coast-of-Tohoku, Japan (Mw = 9.0) earthquake obtained from a dense nationwide seismic network , 2011 .

[5]  Peter K. Jimack,et al.  Developing Parallel Finite Element Software Using MPI , 2000 .

[6]  Greg Stitt,et al.  Elastic computing: a framework for transparent, portable, and adaptive multi-core heterogeneous computing , 2010, LCTES '10.

[7]  Inanc Senocak,et al.  An MPI-CUDA Implementation for Massively Parallel Incompressible Flow Computations on Multi-GPU Clusters , 2010 .

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[9]  Kunle Olukotun,et al.  Transactional memory coherence and consistency , 2004, Proceedings. 31st Annual International Symposium on Computer Architecture, 2004..

[10]  Michael F. P. O'Boyle,et al.  Mapping parallelism to multi-cores: a machine learning based approach , 2009, PPoPP '09.

[11]  Long Chen.  FINITE ELEMENT METHOD , 2013 .

[12]  Shantenu Jha,et al.  Application Level Interoperability between Clouds and Grids , 2009, 2009 Workshops at the Grid and Pervasive Computing Conference.

[13]  Jack J. Dongarra,et al.  Automated empirical optimizations of software and the ATLAS project , 2001, Parallel Comput..

[14]  Yousef Saad,et al.  Iterative methods for sparse linear systems , 2003 .

[15]  Thomas J. R. Hughes,et al.  Finite element formulations for convection dominated flows with particular emphasis on the compressible Euler equations , 1983 .

[16]  Li Chen,et al.  Parallel simulation of strong ground motions during recent and historical damaging earthquakes in Tokyo, Japan , 2005, Parallel Comput..

[17]  Jie Li,et al.  Bridging the Gap between Desktop and the Cloud for eScience Applications , 2010, 2010 IEEE 3rd International Conference on Cloud Computing.

[18]  Jie Cheng,et al.  Programming Massively Parallel Processors. A Hands-on Approach , 2010, Scalable Comput. Pract. Exp..

[19]  George Karypis,et al.  Multilevel k-way Partitioning Scheme for Irregular Graphs , 1998, J. Parallel Distributed Comput..

[20]  Song Huang,et al.  On the energy efficiency of graphics processing units for scientific computing , 2009, 2009 IEEE International Symposium on Parallel & Distributed Processing.

[21]  Inanc Senocak,et al.  Rapid-Response Urban CFD Simulations Using a GPU Computing Paradigm on Desktop Supercomputers , 2009 .

[22]  Timothy C. Warburton,et al.  Nodal discontinuous Galerkin methods on graphics processors , 2009, J. Comput. Phys..

[23]  T. Furumura,et al.  Visualization of 3 D Wave Propagation from the 2000 Tottori-ken Seibu , Japan , Earthquake : Observation and Numerical Simulation , 2003 .

[24]  Alvaro L. G. A. Coutinho,et al.  Implicit SUPG solution of Euler equations using edge-based data structures , 2002 .