Skip to main content
Book cover

Architecture of Computing Systems - ARCS 2006

19th International Conference, Frankfurt/Main, Germany, March 13-16, 2006, Proceedings

  • Conference proceedings
  • © 2006

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3894)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ARCS 2006.

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (34 papers)

  1. Invited and Keynote Papers

  2. Pervasive Computing

  3. Memory Systems

  4. Architectures

  5. Multiprocessing

Other volumes

  1. Architecture of Computing Systems - ARCS 2006

Keywords

About this book

Technological progress is one of the driving forces behind the dramatic devel- mentofcomputersystemarchitecturesoverthe pastthreedecades.Eventhough it is quite clear that this development cannot only be measured by the ma- mum number of components on a chip, Moore’s Law may be and is often taken as a simple measure for the non-braked growth of computational power over the years. The more components are realizable on a chip, the more innovative and unconventional ideas can be realized by system architects. As a result, research in computer system architectures is more exciting than ever before. This book coversthe trends that shape the ?eld of computer system archit- tures.Thefundamenataltrade-o?inthedesignofcomputing systemsis between ?exibility, performance,powerconsumption, andchip area.The full exploitation of future silicon capacity requires new architecture approaches and new design paradigms such as multiple computers on a single chip, recon?gurable processor arrays, extensible processor architectures, and embedded memory technologies. For a successful use in practical applications, it is not enough to solve the ha- wareproblemsbutalsotodevelopplatformsthatprovidesoftwareinfrastructure and support e?ective programming. A quantum jump in complexity is achieved by embedded computing systems with an unprecedented level of connectivity linking together a growing n- ber of physical devices through networks. Embedded systems will become more and more pervasive as the component technologies become smaller, faster, and cheaper. Their complexity arises not only from the large number of components but also from a lack of determinism and a continual evolution of these systems.

Editors and Affiliations

  • University of Passau, Passau, Germany

    Werner Grass

  • Faculty of Computer Science and Mathematics – Institute of Computer Architectures, University of Passau, Passau, Germany

    Bernhard Sick

  • University of Frankfurt/Main, Frankfurt, Germany

    Klaus Waldschmidt

Bibliographic Information

Publish with us