Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659336211 ISBN 13: 9783659336218
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 96,27
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659336211 ISBN 13: 9783659336218
Librería: moluna, Greven, Alemania
EUR 31,73
Cantidad disponible: Más de 20 disponibles
Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Daud Khan SultanSultan Daud Khan is with the Department of Computer Engineering, Umm Al-Qura University, Saudi Arabia.His research interests lies in two areas, Computer Vision and Embedded Systems Designs.He was the Key member of Mu.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2013
ISBN 10: 3659336211 ISBN 13: 9783659336218
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 37,20
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computationally expensive applications involve large amount of data and need to store them in cheap and large capacity off-chip memories. Each processor in multi-core system frequently accesses the global memory which takes many cycles (latency) for the transfer of data. Latency in digital systems has become a critical parameter. An important class of digital systems includes applications such as video image processing which is extremely memory expensive. In such applications, a significant amount of delay and power is consumed during memory access especially for off-chip dynamic random access memories (DRAMs). We need accurate methods for modeling and optimizing inter-core memory operations.This book describes techniques like Memory Delay Modeling, memory allocation and slack time management for optimizing memory access latency for data intensive applications.