03679nam 2200613 a 450 991078175260332120230725051437.066132899731-283-28997-097866132899711-60750-803-6(CKB)2550000000050073(EBL)784582(OCoLC)756484717(SSID)ssj0000671506(PQKBManifestationID)11457518(PQKBTitleCode)TC0000671506(PQKBWorkID)10624642(PQKB)11452599(MiAaPQ)EBC784582(Au-PeEL)EBL784582(CaPaEBR)ebr10506364(CaONFJC)MIL328997(EXLCZ)99255000000005007320110802d2011 uy 0engur|n|---|||||txtccrHigh performance computing[electronic resource] from grids and clouds to exascale /edited by Ian Foster ... [et al.]Amsterdam, The Netherlands IOS Press20111 online resource (320 p.)Advances in parallel computing,0927-5452 ;v. 20Description based upon print version of record.1-60750-802-8 Includes bibliographical references and indexes.Title 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 EraAn 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 CloudsDistributed Storage and Parallel Processing in Large-Scale Wireless Sensor NetworksSubject Index; Author IndexIn 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 midAdvances in parallel computing ;v. 20.High performance computingCongressesHigh performance computing004Foster Ian746985High Performance Computing(2010 :Cetraro, Italy)MiAaPQMiAaPQMiAaPQBOOK9910781752603321High performance computing3700179UNINA