ISBN: 9783642017889 - hpc@green it: green high performance computing methods (13 risultati)

Condizione: Very Good. Hardcover, [xv], 221 pages. Very Good condition. Size 9.375"x6.25". "The authors present methods to reduce computer energy consumption by a better use of resources and by maximizing the efficiencies of applications." Book has moderate handling/shelfwear. Two leaves are creased at the top corner from folding, text else Near Fine, clean and unmarked.…

Condizione: New.

hardcover. Condizione: Sehr gut. 236 Seiten; 9783642017889.2 Gewicht in Gramm: 1.

Condizione: New. In English.

Condizione: New. pp. xvi + 221.

Hardcover. Condizione: Brand New. 215 pages. 9.25x6.50x0.75 inches. In Stock.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Condizione: new. Questo è un articolo print on demand.

Buch. Condizione: Neu. 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. …

Condizione: New. Print on Demand pp. xvi + 221 85 Illus.

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Guideline how to improve existing applications in a company with the goal to reduce computer energy consumptionComputers and applications are parameterized, the relevant quantities monitored, and models are presented to predict execution times bas.…

Condizione: New. PRINT ON DEMAND pp. xvi + 221.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch. …