Euro-Par 2010 parallel processing : 16th International Euro-Par Conference, Ischia, Italy, August 31 - September 3, 2010 : proceedings

Topic 1: Support Tools and Environments. - Distributed Systems and Algorithms. - Starsscheck: A Tool to Find Errors in Task-Based Parallel Programs. - Automated Tuning in Parallel Sorting on Multi-core Architectures. - Estimating and Exploiting Potential Parallelism by Source-Level Dependence Profiling. - Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modeling. - Efficient Graph Partitioning Algorithms for Collaborative Grid Workflow Developer Environments. - Profile-Driven Selective Program Loading. - Characterizing the Impact of Using Spare-Cores on Application Performance. - Topic 2: Performance Prediction and Evaluation. - Performance Prediction and Evaluation. - A Model for Space-Correlated Failures in Large-Scale Distributed Systems. - Architecture Exploration for Efficient Data Transfer and Storage in Data-Parallel Applications. - jitSim: A Simulator for Predicting Scalability of Parallel Applications in Presence of OS Jitter. - pCFS vs. PVFS: Comparing a Highly-Available Symmetrical Parallel Cluster File System with an Asymmetrical Parallel File System. - Comparing Scalability Prediction Strategies on an SMP of CMPs. - Topic 3: Scheduling and Load-Balancing. - Scheduling and Load Balancing. - A Fast 5/2-Approximation Algorithm for Hierarchical Scheduling. - Non-clairvoyant Scheduling of Multiple Bag-of-Tasks Applications. - Extremal Optimization Approach Applied to Initial Mapping of Distributed Java Programs. - A Delay-Based Dynamic Load Balancing Method and Its Stability Analysis and Simulation. - Code Scheduling for Optimizing Parallelism and Data Locality. - Hierarchical Work-Stealing. - Optimum Diffusion for Load Balancing in Mesh Networks. - A Dynamic, Distributed, Hierarchical Load Balancing for HLA-Based Simulations on Large-Scale Environments. - Topic 4: High Performance Architectures and Compilers. - High Performance Architectures and Compilers. - Power-Efficient Spilling Techniques for Chip Multiprocessors. - Scalable Object-Aware Hardware Transactional Memory. - Efficient Address Mapping of Shared Cache for On-Chip Many-Core Architecture. - Thread Owned Block Cache: Managing Latency in Many-Core Architecture. - Extending the Cell SPE with Energy Efficient Branch Prediction. - Topic 5: Parallel and Distributed Data Management. - Parallel and Distributed Data Management. - Federated Enactment of Workflow Patterns. - A Distributed Approach to Detect Outliers in Very Large Data Sets. - Topic 6: Grid, Cluster and Cloud Computing. - Grid, Cluster and Cloud Computing. - Deployment of a Hierarchical Middleware. - Toward Real-Time, Many-Task Applications on Large Distributed Systems. - Scheduling Scientific Workflows to Meet Soft Deadlines in the Absence of Failure Models. - A GPGPU Transparent Virtualization Component for High Performance Computing Clouds. - What Is the Price of Simplicity? - User-Centric, Heuristic Optimization of Service Composition in Clouds. - A Distributed Market Framework for Large-Scale Resource Sharing. - Using Network Information to Perform Meta-scheduling in Advance in Grids. - Topic 7: Peer to Peer Computing. - Peer-to-Peer Computing. - Overlay Management for Fully Distributed User-Based Collaborative Filtering. - Dynamic Publish/Subscribe to Meet Subscriber-Defined Delay and Bandwidth Constraints. - Combining Hilbert SFC and Bruijn Graphs for Searching Computing Markets in a P2P System. - Sampling Bias in BitTorrent Measurements. - A Formal Credit-Based Incentive Model for Sharing Computer Resources. - Topic 8: Distributed Systems and Algorithms. - Distributed Systems and Algorithms. - Improving Message Logging Protocols Scalability through Distributed Event Logging. - Value-Based Sequential Consistency for Set Objects in Dynamic Distributed Systems. - Robust Self-stabilizing Construction of Bounded Size Weight-Based Clusters. - Adaptive Conflict Unit Size for Distributed Optimistic Synchronization. - Frame Allocation Algorithms for Multi-threaded Network Cameras. - Scalable Distributed Simulation of Large Dense Crowds Using the Real-Time Framework (RTF). - The x-Wait-Freedom Progress Condition.