1.

Record Nr.

UNINA9910781752603321

Titolo

High performance computing [[electronic resource] ] : from grids and clouds to exascale / / edited by Ian Foster ... [et al.]

Pubbl/distr/stampa

Amsterdam, The Netherlands, : IOS Press, 2011

ISBN

6613289973

1-283-28997-0

9786613289971

1-60750-803-6

Descrizione fisica

1 online resource (320 p.)

Collana

Advances in parallel computing, , 0927-5452 ; ; v. 20

Altri autori (Persone)

FosterIan

Disciplina

004

Soggetti

High performance computing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and indexes.

Nota di contenuto

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 Era

An 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

Distributed Storage and Parallel Processing in Large-Scale Wireless Sensor NetworksSubject Index; Author Index



Sommario/riassunto

In 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