HPC 2008: Cettraro, Italy

Part 1: Algorithms and Scheduling

• Jakub Kurzak, Hatem Ltaief, Jack J. Dongarra, Rosa M. Badia:
  Scheduling for Numerical Linear Algebra Library at Scale. 3-26
  
• Anne Benoit, Loris Marchal, Yves Robert, Frédéric Vivien:
  Algorithms and scheduling techniques for clusters and grids. 27-51
  

Part 2: Architectures

• Erik H. D'Hollander, Kristof Beyls:
  High Performance Computing with FPGAs. 55-73
  
• Alexander V. Shafarenko:
  Nondeterministic Coordination using S-Net. 74-94
  
• Jeffrey S. Vetter, Vinod Tipparaju, Weikuan Yu, Philip C. Roth:
  HPC Interconnection Networks: The Key to Exascale Computing. 95-106
  

Part 3: GRID Technologies

• Domenico Talia, Paolo Trunfio:
  Using Peer-to-Peer Dynamic Querying in Grid Information Services. 109-126
  
• Thomas Hérault, Mathieu Jan, Thomas Largillier, Sylvain Peyronnet, Benjamin Quétier, Franck Cappello:
  Emulation platform for high accuracy failure injection in grids. 127-140
  
• Wolfgang Gentzsch:
  DEISA, the Distributed European Infrastructure for Supercomputing Applications. 141-156
  
• Achim Streit, Sandra Bergmann, Rebecca Breu, Jason Milad Daivandy, Bastian Demuth, André Giesler, Björn Hagemeier, Sonja Holl, Valentina Huber, Daniel Mallmann, Ahmed Shiraz Memon, M. Shahbaz Memon, Roger Menday, Michael Rambadt, Morris Riedel, Mathilde Romberg, Bernd Schuller, Thomas Lippert:
  UNICORE 6 - A European Grid Technology. 157-173
  

Part 4: Cloud Technologies

• Ignacio Martín Llorente, Rafael Moreno-Vozmediano, Rubén S. Montero:
  Cloud Computing for on-Demand Grid Resource Provisioning. 177-191
  
• Ewa Deelman, G. Bruce Berriman, Gideon Juve, Yang-Suk Kee, Miron Livny, Gurmeet Singh:
  Clouds: An Opportunity for Scientific Applications?. 192-215
  
• Mathias Dalheimer, Franz-Josef Pfreundt:
  Cloud Computing: A Viable Option for Enterprise HPC?. 216-235
  
• Patrick Dreher, Mladen A. Vouk, Eric D. Sills, Samuel F. Averitt:
  Evidence for a Cost Effective Cloud Computing Implementation Based Upon the NC State Virtual Computing Laboratory Model. 236-250
  
• Thijs Metsch, Luis M. Vaquero, Luis Rodero-Merino, Maik A. Lindner, Philippe Massonet:
  Facing Services in Computational Clouds. 251-266
  
• Christian Vecchiola, Xingchen Chu, Rajkumar Buyya:
  Aneka: a Software Platform for .NET based Cloud Computing. 267-295
  

Part 5: Information Processing and Applications

• Marian Bubak, Tomasz Gubala, Marek Kasztelnik, Maciej Malawski:
  Building Collaborative Applications for System-level Science. 299-310
  
• Geoffrey Fox, Seung-Hee Bae, Jaliya Ekanayake, Xiaohong Qiu, Huapeng Yuan:
  Parallel Data Mining from Multicore to Cloudy Grids. 311-340
  
• Ümit V. Çatalyürek, Timothy D. R. Hartley, Olcay Sertel, Manuel Ujaldon, Antonio Ruiz, Joel H. Saltz, Metin N. Gurcan:
  Processing of Large-Scale Biomedical Images on a Cluster of Multicore CPUs and GPUs. 341-364
  
• Tim David:
  System Level Accelerator with Blue Gene: A Heterogeneous Computing Model for Grand Challenge Problems. 365-379
  
• Patrizia Beraldi, Lucio Grandinetti, Antonio Violi, Italo Epicoco:
  Grid Computing for Financial Applications. 380-395
  

Part 6: HPC and GRID Infrastructures for e-Science

• Tim Ho, David Abramson:
  An Active Data Model. 399-421
  
• William E. Johnston, Evangelos Chaniotakis, Eli Dart, Chin Guok, Joe Metzger, Brian Tierney:
  The Evolution of Research and Education Networks and their Essential Role in Modern Science. 422-450
  
• Per Öster:
  The European Grid Initiative and the HPC Ecosystem. 451-463
  
• Kihyeon Cho:
  Grid and e-Science in Korea. 464-482
  

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