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Algorithms and Architectures for Parallel Processing

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Cover of 'Algorithms and Architectures for Parallel Processing'

Table of Contents

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    Book Overview
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    Chapter 1 SPM: Modeling Spark Task Execution Time from the Sub-stage Perspective
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    Chapter 2 Improving the Parallelism of CESM on GPU
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    Chapter 3 Parallel Approach to Sliding Window Sums
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    Chapter 4 Rise the Momentum: A Method for Reducing the Training Error on Multiple GPUs
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    Chapter 5 Pimiento: A Vertex-Centric Graph-Processing Framework on a Single Machine
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    Chapter 6 Parallel Software Testing Sequence Generation Method Target at Full Covering Tested Behaviors
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    Chapter 7 Accurate Network Flow Measurement with Deterministic Admission Policy
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    Chapter 8 A Comparison Study of VAE and GAN for Software Fault Prediction
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    Chapter 9 A Framework for Designing Autonomous Parallel Data Warehouses
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    Chapter 10 Stable Clustering Algorithm for Routing Establishment in Vehicular Ad-Hoc Networks
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    Chapter 11 Utility-Based Location Distribution Reverse Auction Incentive Mechanism for Mobile Crowd Sensing Network
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    Chapter 12 Safeguarding Against Active Routing Attack via Online Learning
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    Chapter 13 Reliability Aware Cost Optimization for Memory Constrained Cloud Workflows
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    Chapter 14 Null Model and Community Structure in Heterogeneous Networks
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    Chapter 15 An Asynchronous Algorithm to Reduce the Number of Data Exchanges
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    Chapter 16 Two-Stage Clustering Hot Event Detection Model for Micro-blog on Spark
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    Chapter 17 Mobility-Aware Workflow Offloading and Scheduling Strategy for Mobile Edge Computing
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    Chapter 18 HSPP: Load-Balanced and Low-Latency File Partition and Placement Strategy on Distributed Heterogeneous Storage with Erasure Coding
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    Chapter 19 Adaptive Clustering for Outlier Identification in High-Dimensional Data
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    Chapter 20 Penguin Search Aware Proactive Application Placement
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    Chapter 21 A Data Uploading Strategy in Vehicular Ad-hoc Networks Targeted on Dynamic Topology: Clustering and Cooperation
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    Chapter 22 Cloud Server Load Turning Point Prediction Based on Feature Enhanced Multi-task LSTM
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    Chapter 23 Neuron Fault Tolerance Capability Based Computation Reuse in DNNs
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    Chapter 24 Reliability Enhancement of Neural Networks via Neuron-Level Vulnerability Quantization
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    Chapter 25 A Fault Detection Algorithm for Cloud Computing Using QPSO-Based Weighted One-Class Support Vector Machine
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    Chapter 26 ParaMoC: A Parallel Model Checker for Pushdown Systems
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    Chapter 27 FastDRC: Fast and Scalable Genome Compression Based on Distributed and Parallel Processing
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    Chapter 28 A Parallel Approach to Advantage Actor Critic in Deep Reinforcement Learning
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    Chapter 29 Blockchain-PUF-Based Secure Authentication Protocol for Internet of Things
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    Chapter 30 Selective Velocity Distributed Indexing for Continuously Moving Objects Model
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    Chapter 31 A New Bitcoin Address Association Method Using a Two-Level Learner Model
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    Chapter 32 Fog Computing Based Traffic and Car Parking Intelligent System
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    Chapter 33 Semi-supervised Deep Learning for Network Anomaly Detection
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    Chapter 34 A Vulnerability Assessment Method for Network System Based on Cooperative Game Theory
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    Chapter 35 Enhancing Model Performance for Fraud Detection by Feature Engineering and Compact Unified Expressions
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    Chapter 36 Network Intrusion Detection Framework Based on Embedded Tree Model
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    Chapter 37 Generative Adversarial Nets Enhanced Continual Data Release Using Differential Privacy
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    Chapter 38 Data Poisoning Attacks on Graph Convolutional Matrix Completion
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    Chapter 39 Secure Data Deduplication with Resistance to Side-Channel Attacks via Fog Computing
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    Chapter 40 Practical IDS on In-vehicle Network Against Diversified Attack Models
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    Chapter 41 Ultragloves: Lowcost Finger-Level Interaction System for VR-Applications Based on Ultrasonic Movement Tracking
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    Chapter 42 Adaptive Detection Method for Packet-In Message Injection Attack in SDN
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    Chapter 43 PMRS: A Privacy-Preserving Multi-keyword Ranked Search over Encrypted Cloud Data
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    Chapter 44 Privacy-Preserving Fine-Grained Outsourcing PHR with Efficient Policy Updating
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    Chapter 45 Lightweight Outsourced Privacy-Preserving Heart Failure Prediction Based on GRU
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    Chapter 46 DAPS: A Decentralized Anonymous Payment Scheme with Supervision
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    Chapter 47 An Approach of Secure Two-Way-Pegged Multi-sidechain
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    Chapter 48 DCRRDT: A Method for Deployment and Control of RFID Sensors Under Digital Twin-Driven for Indoor Supervision
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    Chapter 49 A Binary Code Sequence Based Tracking Algorithm in Wireless Sensor Networks
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    Chapter 50 Sampling Based Katz Centrality Estimation for Large-Scale Social Networks
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    Chapter 51 Location Prediction for Social Media Users Based on Information Fusion
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    Chapter 52 Concurrent Software Fine-Coarse-Grained Automatic Modeling Method for Algorithm Error Detection
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    Chapter 53 EC-ARR: Using Active Reconstruction to Optimize SSD Read Performance
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    Chapter 54 Research of Benchmarking and Selection for TSDB
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    Chapter 55 HDF5-Based I/O Optimization for Extragalactic HI Data Pipeline of FAST
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    Chapter 56 Understanding the Resource Demand Differences of Deep Neural Network Training
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    Chapter 57 Twitter Event Detection Under Spatio-Temporal Constraints
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Title
Algorithms and Architectures for Parallel Processing
Published by
Springer International Publishing, March 2020
DOI 10.1007/978-3-030-38961-1
ISBNs
978-3-03-038960-4, 978-3-03-038961-1
Editors

Wen, Sheng, Zomaya, Albert, Yang, Laurence T.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 43%
Lecturer 1 7%
Student > Postgraduate 1 7%
Student > Master 1 7%
Unknown 5 36%
Readers by discipline Count As %
Computer Science 7 50%
Engineering 2 14%
Social Sciences 1 7%
Unknown 4 29%