Euro-Par 2019: Parallel Processing Workshops

Table of Contents

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   Book Overview
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   Chapter 1 Parallelization of Massive Multiway Stream Joins on Manycore CPUs
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   Chapter 2 Adaptive Crown Scheduling for Streaming Tasks on Many-Core Systems with Discrete DVFS
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   Chapter 3 Minimizing Self-adaptation Overhead in Parallel Stream Processing for Multi-cores
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   Chapter 4 A Fully Decentralized Autoscaling Algorithm for Stream Processing Applications
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   Chapter 5 Transparent Autonomicity for OpenMP Applications
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   Chapter 6 Optimizing Memory Bandwidth Efficiency with User-Preferred Kernel Merge
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   Chapter 7 Opportunities for Partitioning Non-volatile Memory DIMMs Between Co-scheduled Jobs on HPC Nodes
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   Chapter 8 Security and Privacy Management in a Fog-to-Cloud Environment
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    Chapter 9 On the Similarities and Differences Between the Cloud, Fog and the Edge
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    Chapter 10 TDM Edge Gateway: A Flexible Microservice-Based Edge Gateway Architecture for Heterogeneous Sensors
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    Chapter 11 mF2C: The Evolution of Cloud Computing Towards an Open and Coordinated Ecosystem of Fogs and Clouds
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    Chapter 12 Academic Achievement Recognition and Verification Using Blockchain
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    Chapter 13 Crypto-Trading. Rechargeable Token-Based Smart Energy Market Enabled by Blockchain and IoT Technology
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    Chapter 14 Ethereum Transaction Performance Evaluation Using Test-Nets
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    Chapter 15 Blockchain-Based Trusted Cross-organizational Deliveries of Sensor-Equipped Parcels
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    Chapter 16 Towards a Trusted Support Platform for the Job Placement Task
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    Chapter 17 Blockchain Materialization as a General Purpose Technology: A Research Framework
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    Chapter 18 On Refining Design Patterns for Smart Contracts
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    Chapter 19 DataRaceOnAccelerator – A Micro-benchmark Suite for Evaluating Correctness Tools Targeting Accelerators
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    Chapter 20 Application Topology Definition and Tasks Mapping for Efficient Use of Heterogeneous Resources
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    Chapter 21 Toward Heterogeneous MPI+MPI Programming: Comparison of OpenMP and MPI Shared Memory Models
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    Chapter 22 Multicore Performance Prediction – Comparing Three Recent Approaches in a Case Study
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    Chapter 23 Exploiting Historical Data: Pruning Autotuning Spaces and Estimating the Number of Tuning Steps
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    Chapter 24 Advancing Automatic Code Generation for Agent-Based Simulations on Heterogeneous Hardware
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    Chapter 25 Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Dynamic Energy Through Workload Distribution
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    Chapter 26 Search-Based Scheduling for Parallel Tasks on Heterogeneous Platforms
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    Chapter 27 Adaptation of Workflow Application Scheduling Algorithm to Serverless Infrastructure
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    Chapter 28 CCAMP: OpenMP and OpenACC Interoperable Framework
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    Chapter 29 HPC Requirements of High-Fidelity Flow Simulations for Aerodynamic Applications
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    Chapter 30 Data-Adapted Parallel Merge Sort
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    Chapter 31 In Situ Visualization of Performance-Related Data in Parallel CFD Applications
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    Chapter 32 ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment
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    Chapter 33 Bitcoin Price Variation: An Analysis of the Correlations
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    Chapter 34 A Semantic Model with Self-adaptive and Autonomous Relevant Technology for Social Media Applications
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    Chapter 35 A Novel Data-Centric Programming Model for Large-Scale Parallel Systems
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    Chapter 36 Co-located and Orchestrated Network Fabric (CONF): An Automated Cloud Virtual Infrastructure for Social Network Applications
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    Chapter 37 Auto-scaling for a Streaming Architecture with Fuzzy Deep Reinforcement Learning
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    Chapter 38 High Performance Queries Using Compressed Bitmap Indexes
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    Chapter 39 Learning Quality Improved Word Embedding with Assessment of Hyperparameters
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    Chapter 40 Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs
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    Chapter 41 FLY: A Domain-Specific Language for Scientific Computing on FaaS
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    Chapter 42 Parallel Learning of Weighted Association Rules in Human Phenotype Ontology
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    Chapter 43 Improving the Runtime Performance of Non-linear Mixed-Effects Model Estimation
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    Chapter 44 Hybrid Machine Learning and Polymer Physics Approach to Investigate 3D Chromatin Structure
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    Chapter 45 Adaptive Domain Decomposition for Effective Data Assimilation
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    Chapter 46 Sparse Grid Regression for Performance Prediction Using High-Dimensional Run Time Data
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    Chapter 47 MPCDF HPC Performance Monitoring System: Enabling Insight via Job-Specific Analysis
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    Chapter 48 Towards a Predictive Energy Model for HPC Runtime Systems Using Supervised Learning
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    Chapter 49 Resource Aware Scheduling for EDA Regression Jobs
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    Chapter 50 Space-Efficient Reed-Solomon Encoding to Detect and Correct Pointer Corruption
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    Chapter 51 Improving Reliability for Provisioning of Virtual Machines in Desktop Clouds
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    Chapter 52 Physics-Based Checksums for Silent-Error Detection in PDE Solvers
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    Chapter 53 Checkpointing Kernel Executions of MPI+CUDA Applications
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    Chapter 54 MPI+OpenMP Parallelization for Elastic Wave Simulation with an Iterative Solver
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    Chapter 55 Active-Code Replacement in the OODIDA Data Analytics Platform
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    Chapter 56 CNN-SIM: A Detailed Arquitectural Simulator of CNN Accelerators
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    Chapter 57 Duality-Based Locality-Aware Stream Partitioning in Distributed Stream Processing Engines
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    Chapter 58 Message Latency-Based Load Shedding Mechanism in Apache Kafka
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    Chapter 59 Enhancing Block-Wise Transfer with Network Coding in CoAP
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    Chapter 60 A Classification of Resource Heterogeneity in Multiprocessing Systems
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    Chapter 61 Abstract Decision Engine for Task Scheduling in Linux Based Operating Systems
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    Chapter 62 Transparent Data Access for Scientific Workflows Across Clouds
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    Chapter 63 Time-Based Consensus