[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… mais…
[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<
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[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… mais…
[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<
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AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)] NEW BOOK. Custos de envio:Versandkostenfrei. (EUR 0.00) Details...
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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… mais…
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… mais…
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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[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… mais…
[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<
NEW BOOK. Custos de envio:Versandkostenfrei. (EUR 0.00) AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
[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… mais…
[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<
NEW BOOK. Custos de envio:Versandkostenfrei. (EUR 0.00) AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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… mais…
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. Custos de envio:zzgl. Versandkosten., mais custos de envio
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… mais…
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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Dados bibliográficos do melhor livro correspondente
Dados detalhados do livro - Key challenges in Distributed computing Dilbag Singh Gill Author
EAN (ISBN-13): 9783659175220 ISBN (ISBN-10): 3659175226 Livro de capa dura Livro de bolso Ano de publicação: 2012 Editor/Editora: LAP Lambert Academic Publishing Core >1
Livro na base de dados desde 2008-10-31T09:16:16-02:00 (Sao Paulo) Página de detalhes modificada pela última vez em 2024-01-18T10:06:03-03:00 (Sao Paulo) Número ISBN/EAN: 9783659175220
Número ISBN - Ortografia alternativa: 3-659-17522-6, 978-3-659-17522-0 Ortografia alternativa e termos de pesquisa relacionados: Autor do livro: singh, gill Título do livro: challenges, parallel and distributed computing, skeletons
