
Data Access and Storage Management for Embedded Programmable Processors
Springer (Publisher)
Published on 3. December 2010
Book
Paperback/Softback
XIV, 306 pages
978-1-4419-4952-3 (ISBN)
Description
Data Access and Storage Management for Embedded Programmable Processors
gives an overview of the state-of-the-art in system-level data access and storage management for embedded programmable processors. The targeted application domain covers complex embedded real-time multi-media and communication applications. Many of these applications are data-dominated in the sense that their cost related aspects, namely power consumption and footprint are heavily influenced (if not dominated) by the data access and storage aspects. The material is mainly based on research at IMEC in this area in the period 1996-2001. In order to deal with the stringent timing requirements and the data dominated characteristics of this domain, we have adopted a target architecture style that is compatible with modern embedded processors, and we have developed a systematic step-wise methodology to make the exploration and optimization of such applications feasible in a source-to-source precompilation approach.
More details
Edition
1st ed. Softcover of orig. ed. 2002
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XIV, 306 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 18 mm
Weight
499 gr
ISBN-13
978-1-4419-4952-3 (9781441949523)
DOI
10.1007/978-1-4757-4903-8
Schweitzer Classification
Other editions
Additional editions

Francky Catthoor | K. Danckaert | K.K. Kulkarni
Data Access and Storage Management for Embedded Programmable Processors
E-Book
03/2013
Springer
€149.79
Available for download

Francky Catthoor | K. Danckaert | K.K. Kulkarni
Data Access and Storage Management for Embedded Programmable Processors
Book
03/2002
Kluwer Academic Publishers
€160.49
Shipment within 15-20 days
Content
1. DTSE in Programmable Architectures.- 2. Related Compiler Work on Data Transfer and Storage Management.- 3. Global Loop Transformations.- 4. System-Level Storage Requirement Estimation.- 5. Automated Data Reuse Exploration Techniques.- 6. Storage Cycle Budget Distribution.- 7. Cache Optimization.- 8. Demonstrator Designs.- 9. Conclusions and Future Work.- References.