HPC@Green IT

Ralf Gruber

ISBN 10: 3642017886 / ISBN 13: 9783642017889

Editore: Springer Berlin Heidelberg Mrz 2010, 2010

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This item is printed on demand - it takes 3-4 days longer - Neuware -Making the most ef cient use of computer systems has rapidly become a leading topic of interest for the computer industry and its customers alike. However, the focus of these discussions is often on single, isolated, and speci c architectural and technological improvements for power reduction and conservation, while ignoring the fact that power ef ciency as a ratio of performance to power consumption is equally in uenced by performance improvements and architectural power red- tion. Furthermore, ef ciency can be in uenced on all levels of today's system hi- archies from single cores all the way to distributed Grid environments. To improve execution and power ef ciency requires progress in such diverse elds as program optimization, optimization of program scheduling, and power reduction of idling system components for all levels of the system hierarchy. Improving computer system ef ciency requires improving system performance and reducing system power consumption. To research and reach reasonable conc- sions about system performance we need to not only understand the architectures of our computer systems and the available array of code transformations for p- formance optimizations, but we also need to be able to express this understanding in performance models good enough to guide decisions about code optimizations for speci c systems. This understanding is necessary on all levels of the system hierarchy from single cores to nodes to full high performance computing (HPC) systems, and eventually to Grid environments with multiple systems and resources. 240 pp. Englisch.

Codice articolo 9783642017889

Dati bibliografici

• Titolo: HPC@Green IT
• Editore: Springer Berlin Heidelberg Mrz 2010
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 3642017886
• ISBN 13: 9783642017889
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 241 L x 160 A x 20 P (millimetri) 241 millimetri di larghezza per 160 millimetri di altezza per 20 millimetri di profondità
• Peso: 574 grammi

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Riassunto

Making the most ef?cient use of computer systems has rapidly become a leading topic of interest for the computer industry and its customers alike. However, the focus of these discussions is often on single, isolated, and speci?c architectural and technological improvements for power reduction and conservation, while ignoring the fact that power ef?ciency as a ratio of performance to power consumption is equally in?uenced by performance improvements and architectural power red- tion. Furthermore, ef?ciency can be in?uenced on all levels of today s system hi- archies from single cores all the way to distributed Grid environments. To improve execution and power ef?ciency requires progress in such diverse ?elds as program optimization, optimization of program scheduling, and power reduction of idling system components for all levels of the system hierarchy. Improving computer system ef?ciency requires improving system performance and reducing system power consumption. To research and reach reasonable conc- sions about system performance we need to not only understand the architectures of our computer systems and the available array of code transformations for p- formance optimizations, but we also need to be able to express this understanding in performance models good enough to guide decisions about code optimizations for speci?c systems. This understanding is necessary on all levels of the system hierarchy from single cores to nodes to full high performance computing (HPC) systems, and eventually to Grid environments with multiple systems and resources.

Informazioni sull?autore

Ralf Gruber won the Cray Gigaflop Performance Award in 1989 with world’s fastest parallel program running at 1.7 GFlop/s sustained. He was responsible for the Swiss-Tx cluster project, a co-operation between EPFL, Compaq, and Supercomputing Systems. Since 6 years he teaches the doctoral school course on "High Performance Computing Methods".

Vincent Keller received his Master degree in Computer Science from the University of Geneva (Switzerland) in 2004, and his PhD degree in 2008 from the Swiss Federal Institute of Technology (EPFL) in the HPCN and HPC Grids fields. Since 2009, Dr. Vincent Keller holds a full-time researcher position at University of Bonn in Germany. His research interests are in HPC applications analysis, Grid and cluster computing and energy efficiency of large computing ecosystems.