Michael Gerndt

Dieter Kranzlmüller

This book constitutes the refereed proceedings of the Second International Conference on High Performance Computing and Communications, HPCC 2006. The book presents 95 revised full papers, addressing all current issues of parallel and distributed systems and high performance computing and communication. Coverage includes networking protocols, routing, and algorithms, languages and compilers for HPC, parallel and distributed architectures and algorithms, wireless, mobile and pervasive computing, Web services, peer-to-peer computing, and more.

Second International Conference, HPCC 2006, Munich, Germany, September 13-15, 2006, Proceedings

High Performance Computing and Communications

Dieter Kranzlmuller

Michael Alexander

Pasqua D'Ambra

Marco Danelutto

Mario Cannataro

Emmanuel Jeannot

Beniamino Di Martino

Jean Roman

Josef Weidendorfer

Jesper Larsson Traff

Adam Belloum

George Bosilca

Raymond Namyst

Stephen L. Scott

Geoffroy Vallee

This book constitutes thoroughly refereed post-conference proceedings of the workshops of the 17th International Conference on Parallel Computing, Euro-Par 2011, held in Bordeaux, France, in August 2011. The papers of these 12 workshops CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS HPCF, PROPER, CCPI, and VHPC focus on promotion and advancement of all aspects of parallel and distributed computing.

CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29 -- September 2, 2011, Revised Selected Papers, Part I

Euro-Par 2011: Parallel Processing Workshops

CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29 -- September 2, 2011, Revised Selected Papers

Vladimir Getov

Adolfy Hoisie

Allen Malony

Barton Miller

Past and current research in computer performance analysis has focused primarily on dedicated parallel machines. However, future applications in the area of high-performance computing will not only use individual parallel systems but a large set of networked resources. This scenario of computational and data Grids is attracting a great deal of attention from both computer and computational scientists. In addition to the inherent complexity of parallel machines, the sharing and transparency of the available resources introduces new challenges on performance analysis, techniques, and systems. In order to meet those challenges, a multi-disciplinary approach to the multi-faceted problems of performance is required. New degrees of freedom will come into play with a direct impact on the performance of Grid computing, including wide-area network performance, quality-of-service (QoS), heterogeneity, and middleware systems, to mention only a few.

Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19–23, 2002, Dagstuhl, Germany

Performance Analysis and Grid Computing

Michael Gerndt

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