Architecture of Computing Systems - ARCS 2009: 22nd International Conference, Delft, The Netherlands, March 10-13, 2009, Proceedings [Paperback]

This book constitutes the refereed proceedings of the 22nd International Conference on Architecture of Computing Systems, ARCS 2009, held in Delft, The Netherlands, in March 2009. The 21 revised full papers presented together with 3 keynote papers were carefully reviewed and selected from 57 submissions. This year's special focus is set on energy awareness. The papers are organized in topical sections on compilation technologies, reconfigurable hardware and applications, massive parallel architectures, organic computing, memory architectures, enery awareness, Java processing, and chip-level multiprocessing.Keynotes.- Life on the Treadmill.- Key Microarchitectural Innovations for Future Microprocessors.- The Challenges of Multicore: Information and Mis-Information.- Compilation Technologies.- Extracting Coarse-Grained Pipelined Parallelism Out of Sequential Applications for Parallel Processor Arrays.- Parallelization Approaches for Hardware Accelerators  Loop Unrolling Versus Loop Partitioning.- Evaluating Sampling Based Hotspot Detection.- Reconfigurable Hardware and Applications.- A Reconfigurable Bloom Filter Architecture for BLASTN.- SoCWire: A Robust and Fault Tolerant Network-on-Chip Approach for a Dynamic Reconfigurable System-on-Chip in FPGAs.- A Light-Weight Approach to Dynamical Runtime Linking Supporting Heterogenous, Parallel, and Reconfigurable Architectures.- Ultra-Fast Downloading of Partial Bitstreams through Ethernet.- Massive Parallel Architectures.- SCOPE - Sensor Mote Configuration and Operation Enhancement.- Generated Horizontal and Vertical Data Parallel GCA Machines for the N-Body Force Calculation.- Hybrid Resource Discovery Mechanism in Ad Hoc Grid Using Structured Overlay.- Organic Computing.- Marketplace-Oriented Behavior in Semantic Multi-Criteria Decision Making Autonomous Systems.- Self-organized Parallel Cooperation for Solving Optimization Problems.- Memory Architectures.- Improving Memory Subsystem Performance Using ViVA: Virtual VeclӍ