Parallel and Distributed Computing, Applications and Technologies

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

AvHong Shen,Yingpeng Sang

Häftad, Engelska, 2022

Del 13148 i serien Lecture Notes in Computer Science

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Beskrivning

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

Utgivningsdatum:2022-03-17
Mått:155 x 235 x 35 mm
Vikt:966 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:631
Förlag:Springer Nature Switzerland AG
ISBN:9783030967710

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

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.