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Algorithms and Architectures for Parallel Processing: 20th International Conference, ICA3PP 2020, New York City, NY, USA, October 24, 2020, Proceedings, Part II 1st ed. 2020 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 732 pages, height x width: 235x155 mm, weight: 1128 g, 204 Illustrations, color; 197 Illustrations, black and white; XV, 732 p. 401 illus., 204 illus. in color., 1 Paperback / softback
  • Sērija : Theoretical Computer Science and General Issues 12453
  • Izdošanas datums: 30-Sep-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030602389
  • ISBN-13: 9783030602383
  • Mīkstie vāki
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  • Formāts: Paperback / softback, 732 pages, height x width: 235x155 mm, weight: 1128 g, 204 Illustrations, color; 197 Illustrations, black and white; XV, 732 p. 401 illus., 204 illus. in color., 1 Paperback / softback
  • Sērija : Theoretical Computer Science and General Issues 12453
  • Izdošanas datums: 30-Sep-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030602389
  • ISBN-13: 9783030602383
This three-volume set LNCS 12452, 12453, and 12454 constitutes the proceedings of the 20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020, in New York City, NY, USA, in October 2020.





The total of 142 full papers and 5 short papers included in this proceedings volumes was carefully reviewed and selected from 495 submissions.





ICA3PP is covering the many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems. As applications of computing systems have permeated in every aspects of daily life, the power of computing system has become increasingly critical. This conference provides a forum for academics and practitioners from countries around the world to exchange ideas for improving the efficiency, performance, reliability, security and interoperability of computing systems and applications. ICA3PP 2020 focuson two broad areas of parallel and distributed computing, i.e. architectures, algorithms and networks, and systems and applications.
Distributing Data in Real Time Spatial Data Warehouse.- Accelerating
Sparse Convolutional Neural Networks Based on Dataflow Architecture.- DAFEE:
A Scalable Distributed Automatic Feature Engineering Algorithm for Relational
Datasets.- Embedding Augmented Cubes into Grid Networks for Minimum
Wirelength.- ELVMC: A predictive energy-aware algorithm for virtual machine
consolidation in cloud computing.- Design of a convolutional neural network
instruction set based on RISC-V and its microarchitecture implementation.-
Optimizing accelerator on FPGA for  Deep Convolutional Neural Networks.-
HpQC: A new efficient quantum computing simulator.- Outsourced
Privacy-Preserving Reduced SVM among Multiple Institutions.- A Distributed
Business-aware Storage Execution Environment Towards Large-scale
Applications.- QoS-Aware and Fault-Tolerant Replica Placement.- Neural
network compression and acceleration by federated pruning.- Scalable
Aggregation Service for Satellite Remote Sensing Data.- Edge-assisted
Federated Learning: An Empirical Study from Software Decomposition
Perspective.- A Dynamic Partitioning Framework for Edge-assisted Cloud
Computing.- An OpenMP-based Parallel Execution  of Neural Networks Specified
in NNEF.- Deep Reinforcement Learning for Intelligent Migration of Fog
Services in Smart Cities.- A Novel Clustering-based Filter Pruning Method for
Efficient Deep Neural Networks.- Fast Segmentation-based Object Tracking
Model for Autonomous Vehicles.- Defending Adversarial Examples in Computer
Vision based on Data Augmentation Techniques.- User Recruitment with Budget
Redistribution in Edge-aided Mobile Crowdsensing.- Multi-user Service
Migration for Mobile Edge Computing Empowered Connected and Autonomous
Vehicles.- A Precise Telecom Customer Tariff Promotion Method Based on
Multi-route Radial Basis Kernel Fuzzy C-means Clustering.- Clustering by
Unified Principal Component Analysis and Fuzzy c-means with Sparsity
Constraint.- A Hierarchical-Tree-based Method for Generative Zero-Shot
Learning.- Fast Computation of the Exact Number of Magic Series with an
Improved Montgomery Multiplication Algorithm.- I am Smartglasses, and I can
Assist Your Reading.- CHEAPS2AGA: Bounding Space Usage in Variance-Reduced
Stochastic Gradient Descent over Streaming Data and its Asynchronous Parallel
Variants.- A Quantum Computer Operating System.- Dynamic Knowledge Graph
Completion with Jointly Structural and Textual Dependency.- MEFE: A
Multi-fEature Knowledge Fusion and Evaluation method based on BERT.-
Comparative Analysis of Three Kinds of Laser SLAM Algorithms.- Aspect-level
Sentiment Difference Feature Interaction Matching Model based on Multi-round
Decision Mechanism.- Horus: An Interference-aware Resource Manager for Deep
Learning Systems.- Attribute Bagging-Based Extreme Learning Machine.- A
Semi-Supervised Joint Entity and Relation Extraction Model Based on Tagging
Scheme and Information Gain.- Research Progress of Zero-Shot Learning Beyond
Computer Vision.- An Optimization of Deep Sensor Fusion Based on Generalized
Intersection over Union.- A Hot/Cold Task Partition for Energy-efficient
Neural Network Deployment on Heterogeneous Edge Device.- Towards energy
efficient architecture for spaceborne Neural Networks computation.- Roda: A
Flexible Framework for Real-time On-demand Data Aggregation.- Structured Data
Encoder for Neural Networks Based on Gradient Boosting Decision Tree.-
Stochastic Model-based Quantitative Analysis of Edge UPF Service
Dependability.- QoE Estimation of DASH-based Mobile Video Application using
Deep Reinforcement Learning.- Modeling and Analyzing for Data Durability
Towards Cloud Storage Services.- CC-MOEA: A Parallel Multi-objective
Evolutionary Algorithm for Recommendation Systems.- CS-Dict: Accurate Indoor
Localization with CSI Selective Amplitude and Phase based Regularized
Dictionary Learning.- Recommendation with Temporal Dynamics Based on Sequence
Similarity Search.- A Software Stack for Composable Cloud Robotics System.