We see that javascript is disabled or not supported by your browser - javascript is needed for important actions on the site. Read more

What's New - Home - Login

Member $avings: $81,590,461.52 | Books Available: 787,017 | Members Online: 198

Swap Used Books - Buy New Books at Great Prices!

How To Swap Books Sign Up Search submenu

PBS Market (New Books)

Gift Buying Guide

Book Browser Advanced Search Books Posted Today Member Book Reviews Award Winning Books NYT Best Sellers Amazon Best Sellers Most Traveled Copies Club Wish List

Discussion Forums Book Lists

Club Lists My Book Lists My Watched Lists Create a List

Blog Donations

School Donation Program In Memory of... Military Donation Program Friends of PBS

Box-O-Books Maps The Eclectic Pen Fun Stuff

20 Questions Sudoku Bookmark Creator

Top 100

Requests Posts Swappers Referrers Reviewers

Pulse of PBS Spread The Word

Invite Friends Bookmarks Facebook Page Facebook App More Ways...

Photo Gallery Recipes Club Tag Cloud Member Testimonials

Help Center submenu

How To Swap Books Browse Help Docs Ask the Librarian PBS Member Icons Live Help

Kiosk

PBS Market (New Books) Go Shopping Buy Credits Buy PBS Money Upgrade Membership Gift Certificates Transfer Credits

Need Help?

Search - Data Access and Storage Management for Embedded Programmable Processors

Data Access and Storage Management for Embedded Programmable Processors
Author: Francky Catthoor, Koen Danckart, Chidamber Kulkarni

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 app... more »lications 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.

In a first part of the book, we introduce the context and motivation, followed by a once-over-lightly view of the entire approach, illustrated on a relevant driver from the targeted application domain. In part 2, we show how source-to-source code transformations play a crucial role in the solution of the earlier mentioned data transfer and storage bottleneck in modern processor architectures for multi-media and telecommunication applications. This is especially true for embedded applications where cost issues like memory footprint and power consumption are vital. It is also shown that many of these code transformations can be defined in a platform-independent way. The resulting optimized code behaves better on any of the modern platforms. The steps include global data-flow and loop transformations, data reuse decisions, high-level estimators and the link with parallelisation and multi-processor partitioning. In part 3 we discuss our research efforts relating to the mapping of embedded applications to specific memory organisations in embedded programmable processors. In a traditional processor-based environment, compilers perform memory optimizations assuming a fully fixed hardware target architecture with only maximal performance in mind. However, in an embedded context also cost issues and especially power consumption and memory footprint play a dominant role too. Usually the timing requirements are given and the application designer is mostly interested in the trade-off between timing characteristics of the different application tasks and their cost effects. For this purpose Pareto type trade-off curves are the most suitable vehicle to address this design problem. The steps involved here include the storage cycle budget distribution, support of modern memory architectures like SDRAMs, and cache related issues.

ISBN-13: 9780792376897
ISBN-10: 0792376897
Publication Date: 3/15/2002
Pages: 324
Edition: 1st
Rating:

0 stars, based on 0 rating

Publisher: Springer
Book Type: Hardcover
Members Wishing: 0
Reviews: Amazon | Write a Review

Genres:

Back to the Top ↑

Search - Data Access and Storage Management for Embedded Programmable Processors

Loading...