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Euro-Par 2018: Parallel Processing

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Table of Contents

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    Book Overview
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    Chapter 1 Automatic Detection of Synchronization Errors in Codes that Target the Open Community Runtime
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    Chapter 2 A Methodology for Performance Analysis of Applications Using Multi-layer I/O
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    Chapter 3 Runtime Determinacy Race Detection for OpenMP Tasks
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    Chapter 4 Estimating the Impact of External Interference on Application Performance
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    Chapter 5 GT-Race: Graph Traversal Based Data Race Detection for Asynchronous Many-Task Parallelism
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    Chapter 6 Reducing GPU Register File Energy
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    Chapter 7 Taxonomist: Application Detection Through Rich Monitoring Data
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    Chapter 8 Diagnosing Highly-Parallel OpenMP Programs with Aggregated Grain Graphs
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    Chapter 9 Characterization of Smartphone Governor Strategies
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    Chapter 10 HPC Benchmarking: Scaling Right and Looking Beyond the Average
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    Chapter 11 Combined Vertical and Horizontal Autoscaling Through Model Predictive Control
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    Chapter 12 Early Termination of Failed HPC Jobs Through Machine and Deep Learning
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    Chapter 13 Peacock: Probe-Based Scheduling of Jobs by Rotating Between Elastic Queues
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    Chapter 14 Online Scheduling of Task Graphs on Hybrid Platforms
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    Chapter 15 Interference-Aware Scheduling Using Geometric Constraints
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    Chapter 16 Resource-Efficient Execution of Conditional Parallel Real-Time Tasks
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    Chapter 17 Improving GPU Cache Hierarchy Performance with a Fetch and Replacement Cache
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    Chapter 18 Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms
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    Chapter 19 Using Dynamic Compilation to Achieve Ninja Performance for CNN Training on Many-Core Processors
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    Chapter 20 Privacy-Preserving Top-k Query Processing in Distributed Systems
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    Chapter 21 Minimizing Network Traffic for Distributed Joins Using Lightweight Locality-Aware Scheduling
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    Chapter 22 VIoLET: A Large-Scale Virtual Environment for Internet of Things
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    Chapter 23 Adaptive Bandwidth-Efficient Recovery Techniques in Erasure-Coded Cloud Storage
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    Chapter 24 IT Optimization for Datacenters Under Renewable Power Constraint
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    Chapter 25 GPU Provisioning: The $$80 - 20$$ 80 - 20 Rule
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    Chapter 26 ECSched: Efficient Container Scheduling on Heterogeneous Clusters
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    Chapter 27 Combinatorial Auction Algorithm Selection for Cloud Resource Allocation Using Machine Learning
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    Chapter 28 Cloud Federation Formation in Oligopolistic Markets
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    Chapter 29 Improving Cloud Simulation Using the Monte-Carlo Method
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    Chapter 30 Nobody Cares if You Liked Star Wars: KNN Graph Construction on the Cheap
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    Chapter 31 One-Sided Communications for More Efficient Parallel State Space Exploration over RDMA Clusters
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    Chapter 32 Robust Decentralized Mean Estimation with Limited Communication
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    Chapter 33 Snapshot-Based Synchronization: A Fast Replacement for Hand-over-Hand Locking
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    Chapter 34 Measuring Multithreaded Message Matching Misery
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    Chapter 35 Global-Local View: Scalable Consistency for Concurrent Data Types
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    Chapter 36 OpenABL: A Domain-Specific Language for Parallel and Distributed Agent-Based Simulations
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    Chapter 37 Bulk: A Modern C++ Interface for Bulk-Synchronous Parallel Programs
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    Chapter 38 SharP Unified Memory Allocator: An Intent-Based Memory Allocator for Extreme-Scale Systems
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    Chapter 39 Multi-granularity Locking in Hierarchies with Synergistic Hierarchical and Fine-Grained Locks
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    Chapter 40 Efficient Communication/Computation Overlap with MPI+OpenMP Runtimes Collaboration
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    Chapter 41 Efficient Lock-Free Removing and Compaction for the Cache-Trie Data Structure
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    Chapter 42 NUMA Optimizations for Algorithmic Skeletons
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    Chapter 43 Improving System Turnaround Time with Intel CAT by Identifying LLC Critical Applications
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    Chapter 44 Dynamic Placement of Progress Thread for Overlapping MPI Non-blocking Collectives on Manycore Processor
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    Chapter 45 Efficient Load Balancing Techniques for Graph Traversal Applications on GPUs
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    Chapter 46 Energy Efficient Stencil Computations on the Low-Power Manycore MPPA-256 Processor
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    Chapter 47 High-Quality Shared-Memory Graph Partitioning
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    Chapter 48 Design Principles for Sparse Matrix Multiplication on the GPU
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    Chapter 49 Distributed Graph Clustering Using Modularity and Map Equation
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    Chapter 50 Improved Distributed Algorithm for Graph Truss Decomposition
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    Chapter 51 Exploiting Data Sparsity for Large-Scale Matrix Computations
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    Chapter 52 Hybrid Parallelization and Performance Optimization of the FLEUR Code: New Possibilities for All-Electron Density Functional Theory
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    Chapter 53 Efficient Strict-Binning Particle-in-Cell Algorithm for Multi-core SIMD Processors
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    Chapter 54 Task-Based Programming on Emerging Parallel Architectures for Finite-Differences Seismic Numerical Kernel
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    Chapter 55 CEML: a Coordinated Runtime System for Efficient Machine Learning on Heterogeneous Computing Systems
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    Chapter 56 Stream Processing on Hybrid CPU/Intel ® Xeon Phi ™ Systems
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    Chapter 57 Tile Low-Rank GEMM Using Batched Operations on GPUs
Attention for Chapter 14: Online Scheduling of Task Graphs on Hybrid Platforms
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Chapter title
Online Scheduling of Task Graphs on Hybrid Platforms
Chapter number 14
Book title
Euro-Par 2018: Parallel Processing
Published by
Springer, Cham, August 2018
DOI 10.1007/978-3-319-96983-1_14
Book ISBNs
978-3-31-996982-4, 978-3-31-996983-1
Authors

Louis-Claude Canon, Loris Marchal, Bertrand Simon, Frédéric Vivien