Euro-Par 2018: Parallel Processing 24th International Conference on Parallel and Distributed Computing, Turin, Italy, August 27 - 31, 2018, Proceedings /
This book constitutes the proceedings of the 24th International Conference on Parallel and Distributed Computing, Euro-Par 2018, held in Turin, Italy, in August 2018. The 57 full papers presented in this volume were carefully reviewed and selected from 194 submissions. They were organized in topical...
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| Other Authors: | , , |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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| Edition: | 1st ed. 2018. |
| Series: | Theoretical Computer Science and General Issues ;
11014 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-319-96983-1 |
Table of Contents:
- 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. .