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Parallel and Distributed Computing, Applications and Technologies: 22nd International Conference, PDCAT 2021, Guangzhou, China, December 17-19, 2021,, Shen Hong, Sang Yingpeng, Zhang Yong


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Автор: Shen Hong, Sang Yingpeng, Zhang Yong
Название:  Parallel and Distributed Computing, Applications and Technologies: 22nd International Conference, PDCAT 2021, Guangzhou, China, December 17-19, 2021,
ISBN: 9783030967710
Издательство: Springer
Классификация:





ISBN-10: 3030967719
Обложка/Формат: Paperback
Страницы: 648
Вес: 0.89 кг.
Дата издания: 16.04.2022
Серия: Theoretical computer science and general issues
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 192 illustrations, color; 38 illustrations, black and white; xvi, 631 p. 230 illus., 192 illus. in color.
Размер: 23.39 x 15.60 x 3.30 cm
Читательская аудитория: Professional & vocational
Подзаголовок: 22nd international conference, pdcat 2021, guangzhou, china, december 17-19, 2021, proceedings
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание:

Networking and Architectures.- Accelerating GPU-Based Out-of-Core Stencil Computation with On-the-Fly Compression.- Routing with Ant Colony Optimization in Wireless Mesh Networks.- A light-weight scheme for detecting component structure of network traffic.- Evaluating the performance and conformance of a SYCL implementation for SX-Aurora TSUBASA.- Bayesian Optimization Based Task Scheduling in Heterogeneous Computing Systems.- Optimizing Uplink Bandwidth Utilization for Crowdsourced Livecast.- A Batched Jacobi SVD Algorithm on GPUs and Its Application to Quantum Lattice Systems.- A Molecular Dynamics Based Multi-Scale Platelet Aggregation Model and Its High-throughput Simulation.- Approximation and Polynomial Algorithms for Multi-Depot Capacitated Arc Routing Problems.- Zero-shot Face Swapping with De-identification Adversarial Learning.- An user-driven active way to push ACL in Software-Defined Networking.- Photonic Computing and Communication for Neural Network Accelerators.- Performance Comparison of Multi-layer Perceptron Training on Electrical and Optical Network-on-Chips.- The design and implementation of reconfigurable quaternary logic processor.- A 3D Dubins Curve Constructing Method Based on Particle Swarm Optimization.- Software Systems and Technologies.- Towards Conflict-Aware Workload Co-execution on SX-Aurora TSUBASA.- A Learning-Based Scheduler for High Volume Processing in Data Warehouse using Graph Neural Networks.- Adaptive Updates for Erasure-Coded Storage Systems Based on Data Delta and Logging.- Matching Program Implementations and Heterogeneous Computing Systems.- FastDCF: A Partial Index based Distributed and Scalable Near-Miss Code Clone Detection Approach for Very Large Code Repositories.- Towards Optimal Fast Matrix Multiplication on CPU-GPU Platforms.- Temperature Matrix-based Data Placement Using Improved Hungarian Algorithm in Edge Computing Environments.- Realtime Physics Simulation of Large Virtual Space with Docker Containers.- A deep reinforcement learning-based approach to the scheduling of multiple workflows on non-dedicated edge servers.- A MVCC Approach to Parallelizing Interoperability of Consortium Blockchain.- An Effective and Reliable Cross-Blockchain Data Migration Approach.- Algorithm for the Facility Location Problem with Origin and Destination.- Reinforcement Learning-based Auto-scaling Algorithm for Elastic Cloud Workflow Service.- Optimal Energy Efficiency Strategy of mm Wave Cooperative Communication Small Cell based on SWIPT.- Providing Low Latency Execution Guarantees under Uncertainty in Serverless Platforms.- High resolution patient-specific blood flow simulation in a full-size aneurysmal aorta based on a parallel two-level method.- Optimizing Data Locality by Executor Allocation in Reduce Stage for Spark Framework.- TEFRED: A temperature and energy cognizant fault-tolerant real-time scheduler based on deadline partitioning for heterogeneous platforms.- Algorithms and Applications.- Social Recommendation via Graph Attentive Aggregation.- MACSQ: Massively Accelerated DeepQ Learning on GPUs using on-the-fly State Construction.- Model-based Multi-agent Policy Optimization with Dynamic Dependence Modeling.- Multi-index federated aggregation algorithm based on trusted verification.- Few-shot Generative Learning by Modeling Stereoscopic Priors.- Distributed fair k-Center clustering problems with outliers.- Multi-zone residential HVAC control with satisfying occupants thermal comfort requirements and saving energy via reinforcement learning.- Approximating BP Maximization with Distorted-Based Strategy.- Streaming Algorithms for Maximization of a Non-Submodular Function with a Cardinality Constraint on the Integer Lattice.- Adaptable Focal Loss for Imbalanced Text Classification.- Roman Amphitheater Classification Using Convolutional Neural Network and Data Augmentation.- Data-Hungry Issue in Personalized Product Search.- Jointl
Дополнительное описание: Networking and Architectures.- Accelerating GPU-Based Out-of-Core Stencil Computation with On-the-Fly Compression.- Routing with Ant Colony Optimization in Wireless Mesh Networks.- A light-weight scheme for detecting component structure of network traffic



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