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Algorithms and Architectures for Parallel Processing 23rd International Conference, ICA3PP 2023, Tianjin, China, October 20-22, 2023, Proceedings, Part I
Title
Algorithms and Architectures for Parallel Processing [electronic resource] : 23rd International Conference, ICA3PP 2023, Tianjin, China, October 20-22, 2023, Proceedings, Part I / edited by Zahir Tari, Keqiu Li, Hongyi Wu.
ISBN
9789819708345
Edition
1st ed. 2024.
Publication
Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Physical Description
1 online resource (XXI, 502 p.) 197 illus., 176 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
The 7-volume set LNCS 14487-14493 constitutes the proceedings of the 23rd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2023, which took place in Tianjin, China, during October 2023. The 145 full papers included in these proceedings were carefully reviewed and selected from 439 submissions. ICA3PP covers many dimensions of parallel algorithms and architectures; encompassing fundamental theoretical approaches; practical experimental projects; and commercial components and systems.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
April 10, 2024
Series
Lecture Notes in Computer Science, 14487
Contents
Short Video Account Influence Evaluation Model Based on Improved SF-UIR Algorithm
Deep Hash Learning of Feature-Invariant Representation for Single-label and Multi-label Retrieval
Generative Adversarial Network Based Asymmetric Deep Cross-modal Unsupervised Hashing
CFDM-IME A Collaborative Fault Diagnosis Method For Intelligent Manufacturing Equipment
DFECTS A Deep Fuzzy Ensemble Clusterer for Time Series
Energy-aware Smart Task Scheduling in Edge Computing Networks with A3C
BACTDS Blockchain-based Fined-grained Access Control Scheme with Traceablity for IoT Data Sharing
DeepLat Achieving Minimum Worst Case Latency for DNN Inference with Batch-Aware Dispatching
Privacy-Preserving and Reliable Distributed Federated Learning
Joint Optimization of Request Scheduling and Container Prewarming in Serverless Computing
Multi-Stage Optimization of Incentive Mechanisms for Mobile Crowd Sensing based on Top-Trading Cycles
A Chained Forwarding Mechanism for Large Messages
TDC Pool-level object cache replacement algorithm based on temperature density
Smart DAG Task Scheduling based on MCTS Method of Multi-Strategy Learning
CT-Mixer Exploiting Multiscale Design for Local-global Representations Learning
FedQL Q-learning Guided Aggregation for Federated Learning
An Adaptive Instruction Set Encoding Automatic Generation Method for VLIW
FastDet Detecting Encrypted Malicious Traffic Faster via Early Exit
Real-EVE Real-time Edge-assist Video Enhancement for Joint Denoising and Super-resolution
Optimizing the Parallelism of Communication and Computation in Distributed Training Platform
FedSC Compatible Gradient Compression for Communication-Efficient Federated Learning
Joint Video Transcoding and Representation Selection for Edge-Assisted Multi-Party Video Conferencing
Performance Comparison of Distributed DNN Training on Opticalversus Electrical Interconnect Systems
Dynamic Path Planning Based on Traffic Flow Prediction and Traffic Light Status
A Time Series Data Compression Co-processor Based on RISC-V Custom Instructions
MSIN An Efficient Multi-head Self-Attention Framework for Inertial Navigation
AbsorbDeadlock Resolution for 2.5D Modular Chiplet Based Systems
A Multi-Server Authentication Scheme based on Fuzzy Extractor.
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