Algorithms and Architectures for Parallel Processing 25th International Conference, ICA3PP 2025, Zhengzhou, China, October 30–November 2, 2025, Proceedings, Part III
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The eight volume set, LNCS 16381-16388 constitutes the refereed proceedings of the 25th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2025, held in Zhengzhou, China, during October 30 -November 2, 2025.
The 158 full papers, 104 research papers and 48 session papers included in these proceedings were carefully reviewed and selected from 543 submissions. They focus on the following topical sections:
Part I : Parallel and Distributed Architectures; Software Systems and Programming Models.
Part II : Parallel and Distributed Algorithms and Applications.
Part III : Parallel and Distributed Algorithms and Applications; Internet of Things and Cyber-Physical-Social Computing; Performance Modeling and Evaluation.
Part IV : Service Dependability and Security in Distributed and Parallel Systems; Network Architectures and Algorithms.
Part V: Network Architectures and Algorithms.
Part VI: Parallel and Distributed Architectures; Software Systems and Programming Models; Parallel and Distributed Algorithms and Applications; Big Data Management and Analysis; Performance Modeling and Evaluation.
Part VII: Service Dependability and Security in Distributed and Parallel Systems; Network Architectures and Algorithms; Internet of Things and Cyber-Physical-Social Computing.
Part VIII: Intelligent Distributed Computing; Resource Coordination and Joint Optimization in Cloud-Edge-End Systems; Symbiotic AI and Data Ecosystems; Smart Education Powered by Parallel and Distributed Processing; AI for Networks and Networking for AI; Emerging Network Technologies in Computing and Networking Convergence.
.- Parallel and Distributed Algorithms and Applications.
.- Parallel Optimization of Tokamak Guiding-Center Drift-Orbit Integration on the Sunway Bluelight II Supercomputer.
.- Accelerating Graph Sampling in GNN Systems through Accuracy-Aware Data Reuse.
.- Scalable Distributed Index Construction for Large-Scale Graph-Based ANNS.
.- Scalable and Contention-Resilient Concurrent Interval Tree.
.- A Resource Allocation Method of Blockchain Network Based on Edge Computing.
.- A Structure-Aware Irregular Blocking Method for Sparse LU Factorization.
.- A Deep Reinforcement Learning Algorithm with Ordered Action Space for Budget-Aware Workflow Scheduling in Heterogeneous Clouds.
.- STM-WFBP: Selective Tensor Merging Method in Distributed Learning.
.- EACC: Efficient Agent Context Cache Sharing for Multi-Agent Systems.
.- AccuGraph: Memory-Efficient Full-Graph GNN Training on a Single GPU via Subgraph Accumulation.
.- Internet of Things and Cyber-Physical-Social Computing.
.- Average Delay Minimization Strategy for Multi-UAV Assisted MEC: A Lightweight Deep Reinforcement Learning Approach.
.- LLM-Enhanced Multi-AUV Collaborative Search via Multi-Agent Reinforcement Learning.
.- CSI-Based Human Activity Recognition Using Spatial-Temporal Features and Attention.
.- MoMa-Pos: An Efficient Object-Kinematic-Aware Base Placement Determination Framework for Mobile Manipulation.
.- Distributed Intelligent Computing with Kernel-Wise Deep Neural Network Partition over Collaborative Devices.
.- Joint Caching and Offloading Optimization for Heterogeneous Task Patterns in Multi-Access Edge Computing.
.- Open World Person Retrieval and Its Distributed Parallel Training Framework.
.- WSRNet: A Multi-Task Learning Model for Satellite Image Recognition and Segmentation of Forest Wildfires.
.- SCoT Guard: A Safety Chain of Thought Guardrail Model.
.- Performance Modeling and Evaluation.
.- Atys: An Efficient Profiling Framework for Identifying Hotspot Functions in Large-Scale Distributed Microservices.
.- Path Optimization of USV Based on Stochastic Schemata Exploiter with New Exploitation Strategy.
.- On Adaptive Cooperative Strategy for Throughput Enhancement in V2V/V2I Communications.
.- CoDVFS: Improving the Energy Efficiency of AI Servers Through Coordinated DVFS.
.- Machine Learning and Data Statistics Based Scalability Bottleneck Detection.
.- Aspect Term Extraction Method Based on EBERT-CBAC.
.- HACompBench: Co-Designed Multimodal DNN Compression Evaluation for Edge Devices.
.- Are We There Yet? Unraveling the State-of-the-Art Binary Feedback-Directed Optimizations.
.- Towards Efficient SpMV: A Multi-Aware Optimization Framework for Heterogeneous Architecture.
.- GMS-YOLO: A Lightweight Algorithm for SAR Ship Target Detection Based on YOLOv8n.
.- ERL-CDR: Evolutionary Reinforcement Learning with Causal Decoupling Representation.
.- Model Archive and Ensemble Learning Based Differential Evolution Algorithm for Mixed-Variable Optimization.