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100   $a20110802d2011      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aHigh performance computing$b[electronic resource] $efrom grids and clouds to exascale /$fedited by Ian Foster ... [et al.]
210   $aAmsterdam, The Netherlands $cIOS Press$d2011
215   $a1 online resource (320 p.)
225 1 $aAdvances in parallel computing,$x0927-5452 ;$vv. 20
300   $aDescription based upon print version of record.
311   $a1-60750-802-8 
320   $aIncludes bibliographical references and indexes.
327   $aTitle Page; Preface; Contents; State-of-the-Art and Future Scenarios; The History of the Grid; Shaping the Petaflop-Era in Europe - Supercomputing Made in Julich; Exascale Computing and the Role of Co-Design; Fast Heterogeneous Computing: Principles and CUDA Programming; Grids and Clouds; Integrating Service and Desktop Grids at Middleware and Application Level; Crosscloud Computing; High Performance Computing as a Service; A Prototype Implementation of Desktop Clouds; Technologies and Systems; Component-Oriented Approaches for Software Development in the Extreme-Scale Computing Era
327   $aAn Operating System Strategy for General-Purpose Parallel Computing on Many-Core ArchitecturesHigh Performance Composition Operators in Component Models; High-Performance Computing on Heterogeneous Systems: Database Queries on CPU and GPU; Applications; Service-Oriented Data Analysis in Distributed Computing Systems; System Level Acceleration with Blue Gene/L: Grand Challenge Problems in Physiological Multi-Scale Modelling; Towards the Scalability of Real-Time Online Interactive Applications on Multiple Servers and Clouds
327   $aDistributed Storage and Parallel Processing in Large-Scale Wireless Sensor NetworksSubject Index; Author Index
330   $aIn the last decade, parallel computing technologies have transformed high-performance computing. Two trends have emerged: massively parallel computing leading to exascale on the one hand and moderately parallel applications, which have opened up high-performance computing for the masses, on the other. The availability of commodity hardware components, a wide spectrum of parallel applications in research and industry and user-friendly management and development tools have enabled access to parallel and high-performance computing for a wide spectrum of end users from research and academia to mid
410  0$aAdvances in parallel computing ;$vv. 20.
606   $aHigh performance computing$vCongresses
615  0$aHigh performance computing
676   $a004
701   $aFoster$b Ian$0746985
712 12$aHigh Performance Computing$f(2010 :$eCetraro, Italy)
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801  1$bMiAaPQ
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906   $aBOOK
912   $a9910818450603321
996   $aHigh performance computing$93966978
997   $aUNINA