Euro Par 2019 Parallel Processing Workshops Euro Par 2019 International Workshops Göttingen Germany August 26 30 2019 Revised Selected Papers 1st Edition by Ulrich Schwardmann, Christian Boehme, Dora B. Heras, Valeria Cardellini, Emmanuel Jeannot, Antonio Salis, Claudio Schifanella, Ravi Reddy Manumachu, Dieter Schwamborn, Laura Ricci, Oh Sangyoon, Thomas Gruber, Laura Antonelli, Stephen L. Scott – Ebook PDF Instant Download/Delivery: 3030483398, 9783030483401
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ISBN 10: 3030483398
ISBN 13: 9783030483401
Author: Ulrich Schwardmann, Christian Boehme, Dora B Heras, Valeria Cardellini, Emmanuel Jeannot, Antonio Salis, Claudio Schifanella, Ravi Reddy Manumachu, Dieter Schwamborn, Laura Ricci, Oh Sangyoon, Thomas Gruber, Laura Antonelli, Stephen L Scott
This book constitutes revised selected papers from the workshops held at 25th International Conference on Parallel and Distributed Computing, Euro-Par 2019, which took place in Göttingen, Germany, in August 2019. The 53 full papers and 10 poster papers presented in this volume were carefully reviewed and selected from 77 submissions. Euro-Par is an annual, international conference in Europe, covering all aspects of parallel and distributed processing. These range from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-edged applications, from architecture, compiler, language and interface design and implementation to tools, support infrastructures, and application performance aspects. Chapter “In Situ Visualization of Performance-Related Data in Parallel CFD Applications” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Euro Par 2019 Parallel Processing Workshops Euro Par 2019 International Workshops Göttingen Germany August 26 30 2019 Revised Selected Papers 1st Table of contents:
Auto-DASP – Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing
Parallelization of Massive Multiway Stream Joins on Manycore CPUs
Adaptive Crown Scheduling for Streaming Tasks on Many-Core Systems with Discrete DVFS
Minimizing Self-adaptation Overhead in Parallel Stream Processing for Multi-cores
A Fully Decentralized Autoscaling Algorithm for Stream Processing Applications
Transparent Autonomicity for OpenMP Applications
COLOC – Workshop on Data Locality
Optimizing Memory Bandwidth Efficiency with User-Preferred Kernel Merge
Opportunities for Partitioning Non-volatile Memory DIMMs Between Co-scheduled Jobs on HPC Nodes
F2C-DP – Workshop on Fog-to-Cloud Distributed Processing
Security and Privacy Management in a Fog-to-Cloud Environment
On the Similarities and Differences Between the Cloud, Fog and the Edge
TDM Edge Gateway: A Flexible Microservice-Based Edge Gateway Architecture for Heterogeneous Sensors
mF2C: The Evolution of Cloud Computing Towards an Open and Coordinated Ecosystem of Fogs and Clouds
FPDAPP – Workshop on Future Perspective of Decentralised Applications
Academic Achievement Recognition and Verification Using Blockchain
Crypto-Trading. Rechargeable Token-Based Smart Energy Market Enabled by Blockchain and IoT Technology
Ethereum Transaction Performance Evaluation Using Test-Nets
Blockchain-Based Trusted Cross-organizational Deliveries of Sensor-Equipped Parcels
Towards a Trusted Support Platform for the Job Placement Task
Blockchain Materialization as a General Purpose Technology: A Research Framework
On Refining Design Patterns for Smart Contracts
HeteroPar – Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms
DataRaceOnAccelerator – A Micro-benchmark Suite for Evaluating Correctness Tools Targeting Accelerators
Application Topology Definition and Tasks Mapping for Efficient Use of Heterogeneous Resources
Toward Heterogeneous MPI+MPI Programming: Comparison of OpenMP and MPI Shared Memory Models
Multicore Performance Prediction – Comparing Three Recent Approaches in a Case Study
Exploiting Historical Data: Pruning Autotuning Spaces and Estimating the Number of Tuning Steps
Advancing Automatic Code Generation for Agent-Based Simulations on Heterogeneous Hardware
Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Dynamic Energy Through Workload Distribution
Search-Based Scheduling for Parallel Tasks on Heterogeneous Platforms
Adaptation of Workflow Application Scheduling Algorithm to Serverless Infrastructure
CCAMP: OpenMP and OpenACC Interoperable Framework
HPCN – High Performance Computing and Networking in Aerospace
HPC Requirements of High-Fidelity Flow Simulations for Aerodynamic Applications
Data-Adapted Parallel Merge Sort
In Situ Visualization of Performance-Related Data in Parallel CFD Applications
LSDVE – Workshop on Large Scale Distributed Virtual Environments
ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment
Bitcoin Price Variation: An Analysis of the Correlations
A Semantic Model with Self-adaptive and Autonomous Relevant Technology for Social Media Applications
A Novel Data-Centric Programming Model for Large-Scale Parallel Systems
Co-located and Orchestrated Network Fabric (CONF): An Automated Cloud Virtual Infrastructure for Social Network Applications
Auto-scaling for a Streaming Architecture with Fuzzy Deep Reinforcement Learning
ParaMo – International Workshop on Parallel Programming
High Performance Queries Using Compressed Bitmap Indexes
Learning Quality Improved Word Embedding with Assessment of Hyperparameters
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs
FLY: A Domain-Specific Language for Scientific Computing on FaaS
PCDLifeS – Workshop on Parallel and Distributed Computing for Life Sciences: Algorithms, Methodologies and Tools
Parallel Learning of Weighted Association Rules in Human Phenotype Ontology
Improving the Runtime Performance of Non-linear Mixed-Effects Model Estimation
Hybrid Machine Learning and Polymer Physics Approach to Investigate 3D Chromatin Structure
Adaptive Domain Decomposition for Effective Data Assimilation
PMACS – Performance Monitoring and Analysis of Cluster Systems
Sparse Grid Regression for Performance Prediction Using High-Dimensional Run Time Data
MPCDF HPC Performance Monitoring System: Enabling Insight via Job-Specific Analysis
Towards a Predictive Energy Model for HPC Runtime Systems Using Supervised Learning
Resource Aware Scheduling for EDA Regression Jobs
Resilience – Workshop on Resiliency in High Performance Computing with Clouds, Grids, and Cluster
Space-Efficient Reed-Solomon Encoding to Detect and Correct Pointer Corruption
Improving Reliability for Provisioning of Virtual Machines in Desktop Clouds
Physics-Based Checksums for Silent-Error Detection in PDE Solvers
Checkpointing Kernel Executions of MPI+CUDA Applications
Poster Papers
MPI+OpenMP Parallelization for Elastic Wave Simulation with an Iterative Solver
Active-Code Replacement in the OODIDA Data Analytics Platform
CNN-SIM: A Detailed Arquitectural Simulator of CNN Accelerators
Duality-Based Locality-Aware Stream Partitioning in Distributed Stream Processing Engines
Message Latency-Based Load Shedding Mechanism in Apache Kafka
Enhancing Block-Wise Transfer with Network Coding in CoAP
A Classification of Resource Heterogeneity in Multiprocessing Systems
Abstract Decision Engine for Task Scheduling in Linux Based Operating Systems
Transparent Data Access for Scientific Workflows Across Clouds
Time-Based Consensus
Correction to: Euro-Par 2019: Parallel Processing Workshops
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Ulrich Schwardmann,Christian Boehme,Dora B Heras,Valeria Cardellini,Emmanuel Jeannot,Antonio Salis,Claudio Schifanella,Ravi Reddy Manumachu,Dieter Schwamborn,Laura Ricci,Oh Sangyoon,Thomas Gruber,Laura Antonelli,Stephen L Scott