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Euro-Par 2020: Parallel Processing Workshops: Euro-Par 2020 International Workshops, Warsaw, Poland, August 24–25, 2020, Revised Selected Papers de Bartosz Balis

Euro-Par 2020: Parallel Processing Workshops: Euro-Par 2020 International Workshops, Warsaw, Poland, August 24–25, 2020, Revised Selected Papers: Lecture Notes in Computer Science, cartea 12480

Editat de Bartosz Balis, Dora B. Heras, Laura Antonelli, Andrea Bracciali, Thomas Gruber, Jin Hyun-Wook, Michael Kuhn, Stephen L. Scott, Didem Unat, Roman Wyrzykowski
en Limba Engleză Paperback – 14 mar 2021
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. The 27 full papers presented in this volume were carefully reviewed and selected from 50 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.
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Specificații

ISBN-13: 9783030715922
ISBN-10: 3030715922
Pagini: 358
Ilustrații: XV, 358 p. 110 illus., 99 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.53 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Cham, Switzerland

Cuprins

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.