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Euro-Par 2015: Parallel Processing 21st International Conference on Parallel and Distributed Computing, Vienna, Austria, August 24-28, 2015, Proceedings /

This book constitutes the refereed proceedings of the 21st International Conference on Parallel and Distributed Computing, Euro-Par 2015, held in Vienna, Austria, in August 2015. The 51 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 190 submiss...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Träff, Jesper Larsson (Editor ), Hunold, Sascha (Editor ), Versaci, Francesco (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Theoretical Computer Science and General Issues, 9233
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Concurrent Systems: Hybrid Object Implementations and Abortable Objects
  • Runtime-Aware Architectures
  • MPI Thread-Level Checking for MPI+OpenMP Applications
  • Event-Action Mappings for Parallel Tools Infrastructures
  • Low-Overhead Detection of Memory Access Patterns and Their Time Evolution
  • Automatic On-line Detection of MPI Application Structure with Event Flow Graphs
  • Online Automated Reliability Classification of Queueing Models for Streaming Processing Using Support Vector Machines
  • A Duplicate-Free State-Space Model for Optimal Task Scheduling
  • On the Heterogeneity Bias of Cost Matrices when Assessing Scheduling Algorithms
  • Hardware Round-Robin Scheduler for Single-ISA Asymmetric Multi-Core
  • Moody Scheduling for Speculative Parallelization
  • Allocating Jobs with Periodic Demands
  • A Multi-Level Hypergraph Partitioning Algorithm Using Rough Set Clustering
  • Non-preemptive Throughput Maximization for Speed-Scaling with Power-Down
  • Scheduling Tasks from Selfish Multi-tasks Agents
  • Locality and Balance for Communication-Aware Thread Mapping in Multicore Systems
  • Concurrent Priority Queues Are not Good Priority Schedulers
  • Load Balancing Prioritized Tasks via Work-Stealing
  • Optimizing Task Parallelism with Library-Semantics-Aware Compilation
  • Data Layout Optimization for Portable Performance
  • Automatic Data Layout Optimizations for GPUs
  • Performance Impacts with Reliable Parallel File Systems at Exascale Level
  • Rapid Tomographic Image Reconstruction via Large-Scale Parallelization
  • Software consolidation as an efficient energy and cost Saving Solution for a SaaS/PaaS Cloud Model
  • VMPlaceS A Generic Tool to Investigate and Compare VM Placement Algorithms
  • A Connectivity Model for Agreement in Dynamic Systems
  • DFEP: Distributed Funding-based Edge Partitioning
  • PR-STM: Priority Rule Based Software Transactions on the GPU
  • Leveraging MPI-3 Shared-Memory Extensions for Efficient PGAS Runtime Systems
  • A Practical Transactional Memory Interface
  • A Multicore Parallelization of Continuous Skyline Queries on Data Streams
  • A Fast and Scalable Graph Coloring Algorithm for Multi-core and Many-core Architectures
  • A Composable Deadlock-Free Approach to Object-Based Isolation
  • Scalable Data-Driven PageRank: Algorithms, System Issues & Lessons Learned
  • How Many Threads Will Be Too Many? On the Scalability of OpenMP Implementations
  • Efficient Nested Dissection for Multicore Architectures
  • Scheduling Trees of Malleable Tasks for Sparse Linear Algebra
  • Elastic Tasks: Unifying Task Parallelism and SPMD Parallelism with an Adaptive Runtime
  • Semi-discrete Matrix-Free Formulation of 3D Elastic Full Waveform Inversion Modeling
  • 10,000 Performance Models per Minute - Scalability of the UG4 Simulation Framework
  • Exploiting Task-Based Parallelism in Bayesian Uncertainty Quantification
  • Parallelization of an Advection-Diffusion Problem Arising in Edge Plasma Physics Using Hybrid MPI/OpenMP Programming
  • Behavioral Non-Portability in Scientific Numeric Computing
  • Fast Parallel Suffix Array on the GPU
  • Effective Barrier Synchronization on Intel Xeon Phi Coprocessor
  • High Performance Multi-GPU SpMV for Multi-component PDE-based Applications
  • Accelerating Lattice Boltzmann Applications with OpenACC
  • High-Performance and Scalable Design of MPI-3 RMA on Xeon Phi Clusters
  • Improving Performance of Convolutional Neural Networks by Separable Filters on GPU
  • Iterative Sparse Triangular Solves for Preconditioning
  • Targeting the Parallella
  • Systematic Fusion of CUDA Kernels for Iterative Sparse Linear System Solvers
  • Efficient Execution of Multiple CUDA Applications using Transparent Suspend, Resume and Migration.