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Euro-Par 2020: Parallel Processing Workshops

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Table of Contents

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    Book Overview
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    Chapter 1 Blockchain Utility in Use Cases: Observations, Red Flags, and Requirements
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    Chapter 2 Ants-Review: A Privacy-Oriented Protocol for Incentivized Open Peer Reviews on Ethereum
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    Chapter 3 Next Generation Blockchain-Based Financial Services
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    Chapter 4 A Digital Voting System for the 21st Century
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    Chapter 5 Trustless, Censorship-Resilient and Scalable Votings in the Permission-Based Blockchain Model
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    Chapter 6 P2T: Pay to Transport
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    Chapter 7 Balanced and Compressed Coordinate Layout for the Sparse Matrix-Vector Product on GPUs
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    Chapter 8 High-performance GPU and CPU Signal Processing for a Reverse-GPS Wildlife Tracking System
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    Chapter 9 Preparing Ginkgo for AMD GPUs – A Testimonial on Porting CUDA Code to HIP
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    Chapter 10 An Edge Attribute-Wise Partitioning and Distributed Processing of R-GCN Using GPUs
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    Chapter 11 Parallelization of the k-means Algorithm in a Spectral Clustering Chain on CPU-GPU Platforms
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    Chapter 12 Management of Heterogeneous Cloud Resources with Use of the PPO
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    Chapter 13 An Open-Source Virtualization Layer for CUDA Applications
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    Chapter 14 High Performance Portable Solver for Tridiagonal Toeplitz Systems of Linear Equations
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    Chapter 15 HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids
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    Chapter 16 Implementation and Evaluation of CUDA-Unified Memory in Numba
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    Chapter 17 Performance Evaluation of Java/PCJ Implementation of Parallel Algorithms on the Cloud
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    Chapter 18 Parallelizing Automatic Temporal Cognitive Tool for Large-Scale Online Learning Analytics
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    Chapter 19 Experiments Using a Software-Distributed Shared Memory, MPI and 0MQ over Heterogeneous Computing Resources
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    Chapter 20 On the Provenance Extraction Techniques from Large Scale Log Files: A Case Study for the Numerical Weather Prediction Models
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    Chapter 21 Improving Existing WMS for Reduced Makespan of Workflows with Lambda
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    Chapter 22 Predicting Hard Disk Failures in Data Centers Using Temporal Convolutional Neural Networks
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    Chapter 23 On the Detection of Silent Data Corruptions in HPC Applications Using Redundant Multi-threading
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    Chapter 24 A Comparison of Several Fault-Tolerance Methods for the Detection and Correction of Floating-Point Errors in Matrix-Matrix Multiplication
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    Chapter 25 Analysis of Genome Architecture Mapping Data with a Machine Learning and Polymer-Physics-Based Tool
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    Chapter 26 A New Parallel Methodology for the Network Analysis of COVID-19 Data
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    Chapter 27 HugeMap: Optimizing Memory-Mapped I/O with Huge Pages for Fast Storage
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Title
Euro-Par 2020: Parallel Processing Workshops
Published by
Springer International Publishing, January 2021
DOI 10.1007/978-3-030-71593-9
ISBNs
978-3-03-071592-2, 978-3-03-071593-9
Editors

Bartosz Balis, Dora B. Heras, Laura Antonelli, Andrea Bracciali, Thomas Gruber, Jin Hyun-Wook, Michael Kuhn, Stephen L. Scott, Didem Unat, Roman Wyrzykowski

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