Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 188,09
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659175226 ISBN 13: 9783659175220
Librería: preigu, Osnabrück, Alemania
EUR 57,30
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: 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 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659175226 ISBN 13: 9783659175220
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 68,00
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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.