Parallel and Distributed Computing, Applications and Technologies

22nd International Conference, PDCAT 2021, Guangzhou, China, December 17–19, 2021, Proceedings

Häftad, Engelska, 2022

Av Hong Shen, Yingpeng Sang, Yong Zhang, Nong Xiao, Hamid R. Arabnia, Geoffrey Fox, Ajay Gupta, Manu Malek

1 309 kr

Beställningsvara. Skickas inom 7-10 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

This book constitutes the proceedings of the 22nd International Conference on Parallel and Distributed Computing, Applications, and Technologies, PDCAT 2021, which took place in Guangzhou, China, during December 17-19, 2021.The 24 full papers and 34 short papers included in this volume were carefully reviewed and selected from 97 submissions. The papers are categorized into the following topical sub-headings: networking and architectures, software systems and technologies, algorithms and applications, and security and privacy.

Produktinformation

Utgivningsdatum2022-03-17
Mått155 x 235 x undefined mm
SpråkEngelska
SerieTheoretical Computer Science and General Issues
Antal sidor631
FörlagSpringer Nature Switzerland AG
EAN9783030967710

Du kanske också är intresserad av

Del 1163

Parallel Architectures, Algorithms and Programming

Hong Shen, Yingpeng Sang

729 kr

Del 1496

Big Data

Xiangke Liao, Wei Zhao, Enhong Chen, Nong Xiao, Li Wang, Yang Gao, Yinghuan Shi, Changdong Wang, Dan Huang

1 099 kr

Grid and Cooperative Computing - Gcc 2006: Volume I: 5th International Conference, Changsha, China, October 2006, Proceedings Volume II: Gcc 2006 Inte

Nong Xiao, Yunhao Liu

9 389 kr

Network Management and Control

A. Kershenbaum, Manu Malek, M. Wall

2 099 kr

Guarding Your Business

Manu Malek, Sumit Ghosh, Edward A. Stohr

709 kr

Del 3251

Grid and Cooperative Computing - GCC 2004

Hai Jin, Yi Pan, Nong Xiao, Jianhua Sun

2 169 kr

Network Management and Control

Ivan T. Frisch, Manu Malek-Zavarei, I.T. Frisch, Manu Malek, S.S. Panwar, I. T. Frisch, S. S. Panwar

2 099 kr

Del 1120

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Programvaruutveckling inom Data och it
Hårdvara inom Data och it
Artificiell intelligens inom Data och it

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.- Jointly Super Resolutionand Degradation Learning on Unpaired Real-World Images.- Enhanced Discriminant Local Direction Pattern Learning for Robust Palmprint Identification.- Latent Multi-view Subspace Clustering Based on Schatten-p Norm.- Security and Privacy.- MOFIT: An efficient access control scheme with attribute merging and outsourcing capability for Fog-enhanced IoT.- RepBFL: Reputation based Blockchain-Enabled Federated Learning Framework for Data Sharing in Internet of Vehicles.- Multimodal Fusion Representation Learning based on Differential Privacy.- Efficient List Decoding Applied to ECC^2.- Federated Data Integration for Heterogeneous Partitions based on Differential Privacy.- Patient-Chain: Patient-centered healthcare system a Blockchain-based technology in dealing with emergencies.- A differential privacy image publishing method based on wavelet transform.- Traffic Matrix Prediction Based on Differential Privacy and LSTM.- A blockchain-based continuous query differential privacy algorithm.- Formalization and Verification of Group Communication CoAP using CSP.

Parallel and Distributed Computing, Applications and Technologies

22nd International Conference, PDCAT 2021, Guangzhou, China, December 17–19, 2021, Proceedings

Produktinformation

Du kanske också är intresserad av

Parallel Architectures, Algorithms and Programming

Big Data

Grid and Cooperative Computing - Gcc 2006: Volume I: 5th International Conference, Changsha, China, October 2006, Proceedings Volume II: Gcc 2006 Inte

Network Management and Control

Guarding Your Business

Grid and Cooperative Computing - GCC 2004

Network Management and Control

Big Data

Network Management and Control

Network Management and Control

Tillhör följande kategorier

Innehållsförteckning

Akademibokhandeln

Akademibokhandeln

Hjälp

Hjälp

Tjänster

Tjänster

Erbjudanden

Erbjudanden

Inspiration

Inspiration