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Euro-Par 2020: Parallel Processing Workshops

Euro-Par 2020 International Workshops, Warsaw, Poland, August 24-25, 2020, Revised Selected Papers
Langbeschreibung
This book constitutes revised selected papers from the workshops held at the 26th International Conference on Parallel and Distributed Computing, Euro-Par 2020, which took place in Warsaw, Poland, in August 2020. The workshops were held virtually due to the coronavirus pandemic.
Inhaltsverzeichnis
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.
ISBN-13:
9783030715939
Veröffentl:
2021
Seiten:
358
Autor:
Bartosz Balis
Serie:
12480, Lecture Notes in Computer Science Theoretical Computer Science and General Issues
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch

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