Verwandte Artikel zu Key challenges in Distributed computing: Parallel Skeletons,...
Key challenges in Distributed computing: Parallel Skeletons, Load balancing algorithms and Multicore architectures - Softcover
Inhaltsangabe
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?
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Dilbag 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....
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 55,21
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & DauerSuchergebnisse für Key challenges in Distributed computing: Parallel Skeletons,...
Foto des Verkäufers
Key challenges in Distributed computing
Verlag:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659175226
ISBN 13: 9783659175220
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: 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 find: Concurrency in . Bestandsnummer des Verkäufers 5137083
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Key challenges in Distributed computing
Verlag:
LAP LAMBERT Academic Publishing Jul 2012, 2012
ISBN 10: 3659175226
ISBN 13: 9783659175220
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: 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 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 Books on Demand GmbH, Überseering 33, 22297 Hamburg 168 pp. Englisch. Bestandsnummer des Verkäufers 9783659175220
Anzahl: 1 verfügbar
Foto des Verkäufers
Key challenges in Distributed computing : Parallel Skeletons, Load balancing algorithms and Multicore architectures
Verlag:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659175226
ISBN 13: 9783659175220
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: 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 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. Bestandsnummer des Verkäufers 9783659175220
Anzahl: 1 verfügbar
Foto des Verkäufers
Key challenges in Distributed computing
Verlag:
LAP LAMBERT Academic Publishing Jul 2012, 2012
ISBN 10: 3659175226
ISBN 13: 9783659175220
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659175220
Anzahl: 2 verfügbar