Architecture of Computing Systems - ARCS 2006

1. Front Matter

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2. Invited and Keynote Papers

   1. Life-Inspired Systems and Their Quality-Driven Design

      • Lech Jóźwiak

      Pages 1-16

   2. The Robustness of Resource Allocations in Parallel and Distributed Computing Systems

      • Vladimir Shestak, Howard Jay Siegel, Anthony A. Maciejewski, Shoukat Ali

      Pages 17-30

3. Pervasive Computing

   1. FingerMouse – A Button Size Visual Hand Tracking and Segmentation Device

      • Patrick de la Hamette, Gerhard Tröster

      Pages 31-41

   2. An Ad-Hoc Wireless Network Architecture for Face-to-Face Mobile Collaborative Applications

      • Gustavo Zurita, Miguel Nussbaum

      Pages 42-55

   3. Background Data Acquisition and Carrying: The BlueDACS Project

      • Thomas Wieland, Martin Fenne, Benjamin Stöcker

      Pages 56-68

   4. Prototypical Implementation of Location-Aware Services Based on Super-Distributed RFID Tags

      • Jürgen Bohn

      Pages 69-83

   5. Combined Resource and Context Model for QoS-Aware Mobile Middleware

      • Sten Lundesgaard Amundsen, Frank Eliassen

      Pages 84-98

   6. Distributed Modular Toolbox for Multi-modal Context Recognition

      • David Bannach, Kai Kunze, Paul Lukowicz, Oliver Amft

      Pages 99-113

4. Memory Systems

   1. Dynamic Dictionary-Based Data Compression for Level-1 Caches

      • Georgios Keramidas, Konstantinos Aisopos, Stefanos Kaxiras

      Pages 114-129

   2. A Case for Dual-Mapping One-Way Caches

      • Arul Sandeep Gade, Yul Chu

      Pages 130-144

   3. Cache Write-Back Schemes for Embedded Destructive-Read DRAM

      • Haakon Dybdahl, Marius Grannæs, Lasse Natvig

      Pages 145-159

   4. A Processor Architecture with Effective Memory System for Sort-Last Parallel Rendering

      • Woo-Chan Park, Duk-Ki Yoon, Kil-Whan Lee, Il-San Kim, Kyung-Su Kim, Won-Jong Lee et al.

      Pages 160-175

5. Architectures

   1. Controller Synthesis for Mapping Partitioned Programs on Array Architectures

      • Hritam Dutta, Frank Hannig, Jürgen Teich

      Pages 176-190

   2. M2E: A Multiple-Input, Multiple-Output Function Extension for RISC-Based Extensible Processors

      • Xiaoyong Chen, Douglas L. Maskell

      Pages 191-201

   3. An Operating System Infrastructure for Fault-Tolerant Reconfigurable Networks

      • Dirk Koch, Thilo Streichert, Steffen Dittrich, Christian Strengert, Christian D. Haubelt, Jürgen Teich

      Pages 202-216

   4. Architectural Tradeoffs in Wearable Systems

      • Nagendra Bhargava Bharatula, Urs Anliker, Paul Lukowicz, Gerhard Tröster

      Pages 217-231

6. Multiprocessing

   1. Do Trace Cache, Value Prediction and Prefetching Improve SMT Throughput?

      • Chen-Yong Cher, Il Park, T. N. VijayKumar

      Pages 232-251

   2. Scalable and Partitionable Asynchronous Arbiter for Micro-threaded Chip Multiprocessors

      • Nabil Hasasneh, Ian Bell, Chris Jesshope

      Pages 252-267

   3. GigaNetIC – A Scalable Embedded On-Chip Multiprocessor Architecture for Network Applications

      • Jörg-Christian Niemann, Christoph Puttmann, Mario Porrmann, Ulrich Rückert

      Pages 268-282

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.

• Embedded Java
• Java
• Random Access Memory
• Scala
• ad-hoc networks
• computer architecture
• context-aware computing
• distributed systems
• embedded systems
• mobile computing
• operating system
• optimization
• organic computing
• pervasive computing
• virtual machine

• 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

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