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High Performance Computing for Computational Science - VECPAR 2006: 7th International Conference Rio de Janeiro, Brazil, June 10-13, 2006 Revised ... Notes in Computer Science, 4395, Band 4395) - Softcover
Inhaltsangabe
This book constitutes the thoroughly refereed post-proceedings of the 7th International Conference on High Performance Computing for Computational Science, VECPAR 2006, held in Rio de Janeiro, Brazil, in June 2006. The 44 revised full papers presented together with one invited paper and 12 revised workshop papers cover Grid computing, cluster computing, numerical methods, large-scale simulations in Physics, and computing in Biosciences.
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Über die Autorin bzw. den Autor
Eduardo Ogasawara has been a professor in the Department of Computer Science at the Federal Center for Technological Education of Rio de Janeiro (CEFET/RJ) since 2010. He holds a D.Sc. in Systems and Computer Engineering from COPPE/UFRJ. Between 2000 and 2007, he worked in the Information Technology (IT) sector, gaining extensive experience in workflows and project management. With a strong background in Data Science, he is currently focused on Data Mining and Time Series Analysis. He is a member of IEEE, ACM, and SBC. Throughout his career, he has authored numerous published articles and led projects funded by agencies such as CNPq and FAPERJ. Currently, he heads the Data Analytics Lab (DAL) at CEFET/RJ, where he continues to advance research in Data Science.Rebecca Salles is a postdoctoral researcher at the Institut National de Recherche en Sciences et Technologies du Numérique (INRIA) in France. She holds a Ph.D. in Production Engineering and Systems (2023), an M.Sc. (with Honors, Best Dissertation award-SBBD 2021) (2019) and B.Sc. (summa cum laude, third-place award for Best Research-CSBC 2017) (2016) in Computer Science, and a technical degree in Industrial Informatics (2010) from the Federal Center for Technological Education of Rio de Janeiro (CEFET/RJ) in Brazil. As a data scientist, her research currently focuses on the topics of Data Mining, specializing in Time Series Analytics since 2014, including data pre-processing, predictive analysis, and event detection. She is an ACM member and has authored over 30 scientific products, including public frameworks and research papers published in well-known international conferences and scientific journals, also acting as a reviewer for DMKD, IEEE TKDE, and SBBD.Fabio Porto is a Senior Researcher at the National Laboratory of Scientific Computing (LNCC) in Brazil. He is the founder of the Data Extreme Lab (DEXL) and the head of the AI Institute at LNCC. He holds an INRIA International Chair (2024-2028) at INRIA, France. Fabio earned his Ph.D. in Informatics from PUC-Rio in Brazil in 2001, with a research stay at INRIA (1999-2000), and completed a postdoc at the École Polytechnique Fédérale de Lausanne (EPFL) from 2004 to 2008. He has published more than 80 research papers in international conferences and scientific journals, including VLDB, SIGMOD, ICDE, and SBBD. He served as General Chair of VLDB 2018 and SBBD 2015. His main research interests include Data Management, Data-Driven AI, and Safety AI. He is a member of ACM and SBC.Esther Pacitti is a professor of computer science at University of Montpellier. She is a senior researcher and co-head of the Zenith team at LIRMM, pursuing research in distributed data management. Previously, she was an assistant professor at University of Nantes (2002-2009) and a member of Atlas INRIA team. She obtained her "Habilitation à Diriger les Recherches" (HDR) degree in 2008 on the topic of data replication on different contexts (data warehouses, clusters and peer-to-peer systems). Since 2004 she has served or is serving as program committee member of major international conferences (VLDB, SIGMOD, CIKM, etc.) and has edited and co-authored several books. She has also published a significant amount of technical papers and journal papers in well-known international conferences and journals.
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This book constitutes the thoroughly refereed post-proceedings of the 7th International Conference on High Performance Computing for Computational Science, VECPAR 2006, held in Rio de Janeiro, Brazil, in June 2006. The 44 revised full papers presented together with one invited paper and 12 revised workshop papers cover Grid computing, cluster computing, numerical methods, large-scale simulations in Physics, and computing in Biosciences.
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High Performance Computing for Computational Science - VECPAR 2006 | 7th International Conference, Rio de Janeiro, Brazil, June 10-13, 2006, Revised Selected and Invited Papers
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Taschenbuch. Zustand: Neu. High Performance Computing for Computational Science - VECPAR 2006 | 7th International Conference, Rio de Janeiro, Brazil, June 10-13, 2006, Revised Selected and Invited Papers | Michel Daydé (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2007 | Springer | EAN 9783540713500 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu. Artikel-Nr. 102066115
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High Performance Computing for Computational Science - VECPAR 2006 : 7th International Conference, Rio de Janeiro, Brazil, June 10-13, 2006, Revised Selected and Invited Papers
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 1: Grid Computing.- An Opportunistic Algorithm for Scheduling Workflows on Grids.- A Service Oriented System for on Demand Dynamic Structural Analysis over Computational Grids.- Scalable Desktop Grid System.- Analyzing Overheads and Scalability Characteristics of OpenMP Applications.- Parallel Fuzzy c-Means Cluster Analysis.- Peer-to-Peer Models for Resource Discovery in Large-Scale Grids: A Scalable Architecture.- 2: Cluster Computing.- JaceV: A Programming and Execution Environment for Asynchronous Iterative Computations on Volatile Nodes.- Aspect Oriented Pluggable Support for Parallel Computing.- Model for Simulation of Heterogeneous High-Performance Computing Environments.- On Evaluating Decentralized Parallel I/O Scheduling Strategies for Parallel File Systems.- Distributed Security Constrained Optimal Power Flow Integrated to a DSM Based Energy Management System for Real Time Power Systems Security Control.- Metaserver Locality and Scalability in a Distributed NFS.- Top-k Query Processing in the APPA P2P System.- Posterior Task Scheduling Algorithms for Heterogeneous Computing Systems.- Design and Implementation of an Environment for Component-Based Parallel Programming.- Anahy: A Programming Environment for Cluster Computing.- DWMiner: A Tool for Mining Frequent Item Sets Efficiently in Data Warehouses.- A Parallel Implementation of the K Nearest Neighbours Classifier in Three Levels: Threads, MPI Processes and the Grid.- On the Use of the MMC Language to Utilize SIMD Instruction Set.- A Versatile Pipelined Hardware Implementation for Encryption and Decryption Using Advanced Encryption Standard.- 3: Numerical Methods.- Combinatorial Scientific Computing: The Enabling Power of Discrete Algorithms in Computational Science.- Improving the Numerical Simulation of anAirflow Problem with the BlockCGSI Algorithm.- EdgePack: A Parallel Vertex and Node Reordering Package for Optimizing Edge-Based Computations in Unstructured Grids.- Parallel Processing of Matrix Multiplication in a CPU and GPU Heterogeneous Environment.- Robust Two-Level Lower-Order Preconditioners for a Higher-Order Stokes Discretization with Highly Discontinuous Viscosities.- The Impact of Parallel Programming Models on the Performance of Iterative Linear Solvers for Finite Element Applications.- Efficient Parallel Algorithm for Constructing a Unit Triangular Matrix with Prescribed Singular Values.- A Rewriting System for the Vectorization of Signal Transforms.- High Order Fourier-Spectral Solutions to Self Adjoint Elliptic Equations.- Multiresolution Simulations Using Particles.- Evaluation of Several Variants of Explicitly Restarted Lanczos Eigensolvers and Their Parallel Implementations.- PyACTS: A High-Level Framework for Fast Development of High Performance Applications.- Sequential and Parallel Resolution of the Two-Group Transient Neutron Diffusion Equation Using Second-Degree Iterative Methods.- Enhancing the Performance of Multigrid Smoothers in Simultaneous Multithreading Architectures.- Block Iterative Algorithms for the Solution of Parabolic Optimal Control Problems.- Evaluation of Linear Solvers for Astrophysics Transfer Problems.- 4: Large Scale Simulations in Physics.- Scalable Cosmological Simulations on Parallel Machines.- Performance Evaluation of Scientific Applications on Modern Parallel Vector Systems.- Numerical Simulation of Three-Phase Flow in Heterogeneous Porous Media.- Simulation of Laser Propagation in a Plasma with a Frequency Wave Equation.- A Particle Gradient Evolutionary Algorithm Based on Statistical Mechanics and Convergence Analysis.- 5: Computing in Biosciences.- A Computational Framework for Cardiac Modeling Based on Distributed Computing and Web Applications.- Triangular Clique Based Multilevel Approaches to Identify Protein Functional Modules.- BioPortal: A Portal for Deployment of Bioinformatics Applications on Cluster and Grid Environments.- Workshop 1: Computational Grids and Clusters.- Adaptive Distributed Metamodel. Artikel-Nr. 9783540713500
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