Euro-Par 2020: Parallel Processing Workshops

FPDAPP - Second International Workshop on Future Perspective of Decentralised APPlications.- Blockchain Utility in Use Cases: Observations, Red Flags, and Requirements.- Ants-Review: an Ethereum-Based Privacy-Oriented Protocol for Incentivized Open Peer Reviews.- Next Generation Blockchain-Based Financial Services.- A digital voting system for the 21th century.- Trustless, Censorship-Resilient and Scalable Votings in the Permission-based Blockchain Model.- P2T: pay to transport.- HeteroPar - 18th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms.- Balanced and Compressed Coordinate Layout for the Sparse Matrix-Vector Product on GPUs.- High-Performance GPU and CPU Signal Processing for a Reverse-GPS Wildlife Tracking System.- Preparing Ginkgo for AMD GPUs - A Testimonial on Porting CUDA Code to HIP.- An Edge Attribute-wise Partitioning and Distributed Processing of R-GCN using GPUs Parallelization of the k-means algorithm in a spectral clustering chain on CPU-GPU platforms.- Management of heterogeneous cloud resources with use of the Proximal Policy Optimization.- An Open-Source Virtualization Layer for CUDA Applications.- High Performance Portable Solver for Tridiagonal Toeplitz Systems of Linear Equations.- HighPerMeshes - A Domain-Specific Language for Numerical Algorithms on Unstructured Grids.- Implementation and evaluation of CUDA-Unified memory in Numba.- ParaMo - International Workshop on Parallel Programming Performance Evaluation of Java/PCJ Implementation of Parallel.- Algorithms on the Cloud.- Parallelizing Automatic Temporal Cognitive Tool for Large-scale Online Learning Analytics.- Experiments using a Software-Distributed Shared Memory, MPI and 0MQ over Heterogeneous Computing Resources.- On the Provenance Extraction Techniques from Large Scale Log Files: A Case Study for the Numerical Weather Prediction Models.- Improving Existing WMS for reduced Makespan of Workflows with Lambda.- Resilience - Workshop on Resiliency in High Performance Computing with Clouds, Grids, and Clusters.- Predicting Hard Disk Failures in Data Centers using Temporal Convolutional Neural Networks.- On the Detection of Silent Data Corruptions in HPC Applications Using Redundant Multi-Threading.- A comparison of several fault-tolerance methods for the detection and correction of floating-point errors in matrix-matrix multiplication.- Complementary Papers.- Analysis of Genome Architecture Mapping data with a Machine Learning and Polymer-Physics-based tool.- A New Parallel Methodology for the Network Analysis of COVID-19 data.- HugeMap: Optimizing Memory-mapped I/O with Huge Pages for Fast Storage.