[EAN: 9783659175220], Neubuch, [PU: LAP LAMBERT Academic Publishing], nach der Bestellung gedruckt Neuware -This book helps to find: Concurrency in a program - how to help programmers 'th… Plus…
[EAN: 9783659175220], Neubuch, [PU: LAP LAMBERT Academic Publishing], nach der Bestellung gedruckt 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, Books<
[EAN: 9783659175220], Neubuch, [PU: LAP Lambert Academic Publishing], nach der Bestellung gedruckt Neuware - This book helps to find: Concurrency in a program - how to help programmers th… Plus…
[EAN: 9783659175220], Neubuch, [PU: LAP Lambert Academic Publishing], nach der Bestellung gedruckt 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, Books<
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 da… Plus…
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? Trade Books>Trade Paperback>Technology>MS Development>Windows Prog, LAP Lambert Academic Publishing Core >1<
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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 da… Plus…
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? Trade Books>Trade Paperback>Technology>MS Development>Windows Prog, KS OmniScriptum Publishing Core >1<
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new in stock. Frais d'envoizzgl. Versandkosten., Livraison non-comprise Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
[EAN: 9783659175220], Neubuch, [PU: LAP LAMBERT Academic Publishing], nach der Bestellung gedruckt Neuware -This book helps to find: Concurrency in a program - how to help programmers 'th… Plus…
[EAN: 9783659175220], Neubuch, [PU: LAP LAMBERT Academic Publishing], nach der Bestellung gedruckt 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, Books<
[EAN: 9783659175220], Neubuch, [PU: LAP Lambert Academic Publishing], nach der Bestellung gedruckt Neuware - This book helps to find: Concurrency in a program - how to help programmers th… Plus…
[EAN: 9783659175220], Neubuch, [PU: LAP Lambert Academic Publishing], nach der Bestellung gedruckt 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, Books<
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 da… Plus…
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? Trade Books>Trade Paperback>Technology>MS Development>Windows Prog, LAP Lambert Academic Publishing Core >1<
new in stock. Frais d'envoizzgl. Versandkosten., Livraison non-comprise
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 da… Plus…
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? Trade Books>Trade Paperback>Technology>MS Development>Windows Prog, KS OmniScriptum Publishing Core >1<
new in stock. Frais d'envoizzgl. Versandkosten., Livraison non-comprise
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Données bibliographiques du meilleur livre correspondant
Informations détaillées sur le livre - Key challenges in Distributed computing Dilbag Singh Gill Author
EAN (ISBN-13): 9783659175220 ISBN (ISBN-10): 3659175226 Version reliée Livre de poche Date de parution: 2012 Editeur: LAP Lambert Academic Publishing Core >1
Livre dans la base de données depuis 2008-10-31T12:16:16+01:00 (Zurich) Page de détail modifiée en dernier sur 2024-01-18T14:06:03+01:00 (Zurich) ISBN/EAN: 9783659175220
ISBN - Autres types d'écriture: 3-659-17522-6, 978-3-659-17522-0 Autres types d'écriture et termes associés: Auteur du livre: singh, gill Titre du livre: challenges, parallel and distributed computing, skeletons
