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Euro-Par 2016: Parallel Processing

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Cover of 'Euro-Par 2016: Parallel Processing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Resampling with Feedback — A New Paradigm of Using Workload Data for Performance Evaluation
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    Chapter 2 Scheduling DAGs Opportunistically: The Dream and the Reality Circa 2016
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    Chapter 3 Synchronization Debugging of Hybrid Parallel Programs
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    Chapter 4 Nasty-MPI: Debugging Synchronization Errors in MPI-3 One-Sided Applications
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    Chapter 5 Automatic Benchmark Profiling Through Advanced Trace Analysis
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    Chapter 6 Addressing Materials Science Challenges Using GPU-accelerated POWER8 Nodes
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    Chapter 7 Performance Prediction and Ranking of SpMV Kernels on GPU Architectures
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    Chapter 8 The Impact of Voltage-Frequency Scaling for the Matrix-Vector Product on the IBM POWER8
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    Chapter 9 Power Consumption Modeling and Prediction in a Hybrid CPU-GPU-MIC Supercomputer
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    Chapter 10 Controlling and Assessing Correlations of Cost Matrices in Heterogeneous Scheduling
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    Chapter 11 Penalized Graph Partitioning for Static and Dynamic Load Balancing
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    Chapter 12 Non-preemptive Scheduling with Setup Times: A PTAS
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    Chapter 13 Cuboid Partitioning for Parallel Matrix Multiplication on Heterogeneous Platforms
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    Chapter 14 HeSP: A Simulation Framework for Solving the Task Scheduling-Partitioning Problem on Heterogeneous Architectures
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    Chapter 15 FPT Approximation Algorithm for Scheduling with Memory Constraints
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    Chapter 16 Scheduling MapReduce Jobs Under Multi-round Precedences
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    Chapter 17 Euro-Par 2016: Parallel Processing
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    Chapter 18 Piecewise Holistic Autotuning of Compiler and Runtime Parameters
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    Chapter 19 Insights into the Fallback Path of Best-Effort Hardware Transactional Memory Systems
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    Chapter 20 Portable SIMD Performance with OpenMP* 4.x Compiler Directives
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    Chapter 21 Lightweight Multi-language Bindings for Apache Spark
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    Chapter 22 Toward a General I/O Arbitration Framework for netCDF Based Big Data Processing
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    Chapter 23 High Performance Parallel Summed-Area Table Kernels for Multi-core and Many-core Systems
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    Chapter 24 GraphIn: An Online High Performance Incremental Graph Processing Framework
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    Chapter 25 Efficient Large Outer Joins over MapReduce
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    Chapter 26 Slurm-V: Extending Slurm for Building Efficient HPC Cloud with SR-IOV and IVShmem
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    Chapter 27 An Autonomic Parallel Strategy for the Projection of Ecological Niche Models in Heterogeneous Computational Environments
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    Chapter 28 Towards Network-Aware Service Placement in Community Network Micro-Clouds
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    Chapter 29 Heating as a Cloud-Service, A Position Paper (Industrial Presentation)
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    Chapter 30 Design and Verification of Distributed Phasers
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    Chapter 31 Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications
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    Chapter 32 Automatic Verification of Self-consistent MPI Performance Guidelines
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    Chapter 33 ParallelME: A Parallel Mobile Engine to Explore Heterogeneity in Mobile Computing Architectures
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    Chapter 34 CBPQ: High Performance Lock-Free Priority Queue
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    Chapter 35 Euro-Par 2016: Parallel Processing
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    Chapter 36 A Sharing-Aware Memory Management Unit for Online Mapping in Multi-core Architectures
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    Chapter 37 GreenBST: Energy-Efficient Concurrent Search Tree
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    Chapter 38 HAP: A Heterogeneity-Conscious Runtime System for Adaptive Pipeline Parallelism
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    Chapter 39 Using Data Dependencies to Improve Task-Based Scheduling Strategies on NUMA Architectures
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    Chapter 40 Multicore vs Manycore: The Energy Cost of Concurrency
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    Chapter 41 Work-Efficient Parallel Union-Find with Applications to Incremental Graph Connectivity
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    Chapter 42 An Efficient Cache-oblivious Parallel Viterbi Algorithm
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    Chapter 43 Gradual Stabilization Under $$\tau $$ -Dynamics
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    Chapter 44 High Performance Polar Decomposition on Distributed Memory Systems
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    Chapter 45 A Synchronization-Free Algorithm for Parallel Sparse Triangular Solves
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    Chapter 46 Exploiting Task-Parallelism in Message-Passing Sparse Linear System Solvers Using OmpSs
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    Chapter 47 Lightweight and Accurate Silent Data Corruption Detection in Ordinary Differential Equation Solvers
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    Chapter 48 High-Performance Matrix-Matrix Multiplications of Very Small Matrices
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    Chapter 49 Effective Minimally-Invasive GPU Acceleration of Distributed Sparse Matrix Factorization
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    Chapter 50 Automatic OpenCL Task Adaptation for Heterogeneous Architectures
Overall attention for this book and its chapters
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Title
Euro-Par 2016: Parallel Processing
Published by
Springer International Publishing, August 2016
DOI 10.1007/978-3-319-43659-3
ISBNs
978-3-31-943658-6, 978-3-31-943659-3
Editors

Dutot, Pierre-François, Trystram, Denis

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Student > Master 2 25%
Student > Postgraduate 1 13%
Student > Bachelor 1 13%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 4 50%
Engineering 2 25%
Unknown 2 25%