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El. knyga: Euro-Par 2020: Parallel Processing Workshops: Euro-Par 2020 International Workshops, Warsaw, Poland, August 24-25, 2020, Revised Selected Papers

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Euro-Par 2020: Parallel Processing Workshops: Euro-Par 2020 International Workshops, Warsaw, Poland, August 24-25, 2020, Revised Selected PapersDidesnis paveikslėlis
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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.
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.
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