Euro-Par 2010 - Parallel Processing - Taschenbuch

EAN (ISBN-13): 9783642152764
ISBN (ISBN-10): 3642152767
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Springer Berlin Heidelberg Core >1
600 Seiten
Gewicht: 0,942 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-12-24T09:31:40+01:00 (Zurich)
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ISBN/EAN: 9783642152764

ISBN - alternative Schreibweisen:
3-642-15276-7, 978-3-642-15276-4
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: ambra, domenico mario, mario tal
Titel des Buches: ischia, parallel, euro, september, proceedings the second international conference, august, taschenbuch

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Daten vom Verlag:

Autor/in: Pasqua D'Ambra; Mario Guarracino; Domenico Talia
Titel: Lecture Notes in Computer Science; Theoretical Computer Science and General Issues; Euro-Par 2010 - Parallel Processing - 16th International Euro-Par Conference, Ischia, Italy, August 31 - September 3, 2010, Proceedings, Part I
Verlag: Springer; Springer Berlin
600 Seiten
Erscheinungsjahr: 2010-08-18
Berlin; Heidelberg; DE
Sprache: Englisch
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
Available
XXX, 600 p. 264 illus.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Theoretische Informatik; Verstehen; Informatik; algorithms; cloud computing; grid computing; manycore programming; p2p computing; scheduling; ubiquitous computing; algorithm analysis and problem complexity; Theory of Computation; Computer System Implementation; Programming Techniques; System Performance and Evaluation; Algorithms; Numerical Analysis; Systemanalyse und -design; Computerprogrammierung und Softwareentwicklung; Algorithmen und Datenstrukturen; Numerische Mathematik; EA

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 CrowdsUsing the Real-Time Framework (RTF).- The x-Wait-Freedom Progress Condition.