Key challenges distributed computing par gill dilbag (5 résultats)
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Taschenbuch. Etat : Neu. Key challenges in Distributed computing | Parallel Skeletons, Load balancing algorithms and Multicore architectures | Dilbag Singh Gill | Taschenbuch | 168 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659175220 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 4…2, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book helps to find: Concurrency in a program - how to help programmers 'think parallel' Scheduling tasks at the right granularity onto the processors of a parallel machine. The data locality problem: associating data with tasks and… doing it in a way that our target audience will be able to use correctly. Scalability support in hardware: bandwidth and latencies to memory plus interconnects between processing elements. Scalability support in software: libraries, scalable algorithms, and adaptive run times to map high level software onto platform details. Synchronization constructs (and protocols) that enable programmers write programs free from deadlock and race conditions. Tools, API's and methodologies to support the debugging process. Error recovery and support for fault tolerance. Support for good software engineering practices: compos ability, incremental parallelism, and code reuse. Support for portable performance. What are the right models (or abstractions) so programmers can write code once and expect it to execute well on the important parallel platforms 168 pp. Englisch.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gill Dilbag SinghDilbag Singh Gill [BSC(Eco), MSC(CS) and Mtech(CSE)] belongs to SangtuNangal.org and has done and still doing work for Greenit. This book is dedicated to all my friends.This book helps to f…ind: Concurrency in .
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book helps to find: Concurrency in a program - how to help programmers 'think parallel' Scheduling tasks at the right granularity onto the processors of a parallel machine. The data locality problem: associating data with tasks and doi…ng it in a way that our target audience will be able to use correctly. Scalability support in hardware: bandwidth and latencies to memory plus interconnects between processing elements. Scalability support in software: libraries, scalable algorithms, and adaptive run times to map high level software onto platform details. Synchronization constructs (and protocols) that enable programmers write programs free from deadlock and race conditions. Tools, API's and methodologies to support the debugging process. Error recovery and support for fault tolerance. Support for good software engineering practices: compos ability, incremental parallelism, and code reuse. Support for portable performance. What are the right models (or abstractions) so programmers can write code once and expect it to execute well on the important parallel platforms VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch.
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book helps to find: Concurrency in a program - how to help programmers 'think parallel' Scheduling tasks at the right granularity onto the processors of a parallel machine. The data locality problem: associating data with tasks and doin…g it in a way that our target audience will be able to use correctly. Scalability support in hardware: bandwidth and latencies to memory plus interconnects between processing elements. Scalability support in software: libraries, scalable algorithms, and adaptive run times to map high level software onto platform details. Synchronization constructs (and protocols) that enable programmers write programs free from deadlock and race conditions. Tools, API's and methodologies to support the debugging process. Error recovery and support for fault tolerance. Support for good software engineering practices: compos ability, incremental parallelism, and code reuse. Support for portable performance. What are the right models (or abstractions) so programmers can write code once and expect it to execute well on the important parallel platforms.
