Euro-Par 2018: Parallel Processing 24th International Conference on Parallel and Distributed Computing, Turin, Italy, August 27 - 31, 2018, Proceedings

Support Tools and Environments.- Automatic detection of synchronization errors in codes that target the Open Community Runtime.- A Methodology for Performance Analysis of Applications Using Multi-layer I/O.- Runtime Determinacy Race Detection for OpenMP Tasks.- Estimating the impact of external interference on application performance.- GT-Race: Graph Traversal based Data Race Detection for Asynchronous Many-Task Parallelism.- Performance and Power Modeling, Prediction and Evaluation.- Reducing GPU Register File Energy.- Taxonomist: Application Detection through Rich Monitoring Data.- Diagnosing Highly-Parallel OpenMP Programs With Aggregated Grain Graphs.- Characterization of smartphone governor strategies.- HPC Benchmarking: Scaling Right and Looking Beyond the Average.- Combined Vertical and Horizontal Autoscaling Through Model Predictive Control.- Scheduling and Load Balancing.- Early Termination of Failed HPC Jobs Through Machine and Deep Learning.- Peacock: Probe-Based Scheduling of Jobs by Rotating Between Elastic Queues.- Online Scheduling of Task Graphs on Hybrid Platforms.- Interference-Aware Scheduling using Geometric Constraints.- Resource-efficient execution of conditional parallel real-time tasks.- High Performance Architectures and Compilers.- Improving GPU Cache Hierarchy Performance with a Fetch and Replacement Cache.- Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms.- Using Dynamic Compilation to achieve Ninja Performance for CNN training on Many-Core Processors.- Parallel and Distributed Data Management and Analytics.- Privacy-Preserving Top-k Query Processing in Distributed Systems.- Minimizing Network Traffic for Distributed Joins Using Lightweight Locality-Aware Scheduling.- Cluster and Cloud Computing.- VIoLET: A Large-scale Virtual Environment for Internet of Things.- Adaptive Bandwidth-Efficient Recovery Techniques in Erasure-Coded Cloud Storage Systems.- IT Optimization for Datacenters Under Renewable Power Constraint.- GPU Provisioning: The 80 - 20 Rule.- ECSched: Efficient Container Scheduling on Heterogeneous Clusters.- Combinatorial Auction Algorithm Selection for Cloud Resource Allocation using Machine Learning.- Cloud Federation Formation in Oligopolistic Markets.- Improving Cloud Simulation using the Monte-Carlo Method.- Distributed Systems and Algorithms.- Nobody cares if you liked Star Wars: KNN graph construction on the cheap.- One-Sided Communications for more Efficient Parallel State Space Exploration over RDMA Clusters.- Robust Decentralized Mean Estimation with Limited Communication.- Parallel and Distributed Programming, Interfaces, and Languages.- Snapshot-based Synchronization: A Fast Replacement for Hand-over-Hand Locking.- Measuring Multi-threaded Message Matching Misery.- Global-Local View: Scalable Consistency for Concurrent Data Types.- OpenABL: A Domain-Specific Language for Parallel and Distributed Agent-Based Simulations.- Bulk: a Modern C++ Interface for Bulk-Synchronous Parallel Programs.- SharP Unified Memory Allocator: An Intent-based Memory Allocator for Extreme-scale Systems.- Multi-Granularity Locking in Hierarchies with Synergistic Hierarchical and Fine-Grained Locks.- Efficient Communication/Computation Overlap with MPI+OpenMP Runtimes Collaboration.- Multicore and Manycore Methods and Tools.- Efficient Lock-Free Removing and Compaction for the Cache-Trie Data Structure.- NUMA Optimizations for Algorithmic Skeletons.- Improving System Turnaround Time with Intel CAT by Identifying LLC Critical Applications.- Dynamic Placement of Progress Thread for Overlapping MPI Non-Blocking Collectives on Manycore Processor.- Load balancing strategies for graph traversal applications on GPUs.- Energy Efficient Stencil Computations on the Low-Power Manycore MPPA-256 Processor.- Theory and Algorithms for Parallel Computation and Networking.- High-Quality Shared-Memory Graph Partitioning.- Design Principles for Sparse Matrix Multiplication on the GPU.- Distributed Graph Clustering using Modularity and Map Equation.- Improved Distributed Algorithm for Graph Truss Decomposition.- Parallel Numerical Methods and Applications.- Exploiting Data Sparsity for Large-Scale Matrix Computations.- Hybrid Parallelization and Performance Optimization of the FLEUR Code: New Possibilities for All-electron Density Functional Theory.- Efficient Strict-Binning Particle-in-Cell Algorithm for Multi-Core SIMD Processors.- Task-Based Programming on Emerging Parallel Architectures for Finite-Differences Seismic Numerical Kernel.- Accelerator Computing for Advanced Applications.- CEML: a Coordinated Runtime System for Efficient Machine Learning on Heterogeneous Computing Systems.- Stream Processing on Hybrid CPU/Intel Xeon Phi Systems.- Tile Low-Rank GEMM Using Batched Operations on GPUs.