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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 Efficient Remote Memory Paging for Disaggregated Memory Systems
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    Chapter 2 pCOVID: A Privacy-Preserving COVID-19 Inference Framework
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    Chapter 3 Hierarchical Reinforcement Learning-Based Mobility-Aware Content Caching and Delivery Policy for Vehicle Networks
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    Chapter 4 Compromise Privacy in Large-Batch Federated Learning via Malicious Model Parameters
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    Chapter 5 PMemTrace: Lightweight and Efficient Memory Access Monitoring for Persistent Memory
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    Chapter 6 SeqTrace: API Call Tracing Based on Intel PT and VMI for Malware Detection
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    Chapter 7 CP $$^{3}$$ 3 : Hierarchical Cross-Platform Power/Performance Prediction Using a Transfer Learning Approach
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    Chapter 8 Effective Vehicle Lane-Change Sensing Using Onboard Smartphone Based on Temporal Convolutional Network
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    Chapter 9 A Web Service Recommendation Method Based on Adaptive Gate Network and xDeepFM
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    Chapter 10 PXCrypto: A Regulated Privacy-Preserving Cross-Chain Transaction Scheme
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    Chapter 11 CRFs for Digital Signature and NIZK Proof System in Web Services
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    Chapter 12 SPAC : Scalable Pattern Approximate Counting in Graph Mining
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    Chapter 13 Haica: A High Performance Computing & Artificial Intelligence Fused Computing Architecture
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    Chapter 14 AOA: Adaptive Overclocking Algorithm on CPU-GPU Heterogeneous Platforms
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    Chapter 15 GEM: Execution-Aware Cache Management for Graph Analytics
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    Chapter 16 EnergyCIDN: Enhanced Energy-Aware Challenge-Based Collaborative Intrusion Detection in Internet of Things
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    Chapter 17 Federated Learning-Based Intrusion Detection on Non-IID Data
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    Chapter 18 Long-Term Fairness Scheduler for Pay-as-You-Use Cache Sharing Systems
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    Chapter 19 MatGraph: An Energy-Efficient and Flexible CGRA Engine for Matrix-Based Graph Analytics
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    Chapter 20 D-IOCost: Dynamic Cost-Aware Fair Queueing for Better I/O Proportionality and Performance
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    Chapter 21 Automated Binary Analysis: A Survey
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    Chapter 22 LTNoT: Realizing the Trade-Offs Between Latency and Throughput in NVMe over TCP
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    Chapter 23 AS-cast: Lock Down the Traffic of Decentralized Content Indexing at the Edge
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    Chapter 24 Heterogeneous Graph Based Long- And Short-Term Preference Learning Model for Next POI Recommendation
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    Chapter 25 SMTWM: Secure Multiple Types Wildcard Pattern Matching Protocol from Oblivious Transfer
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    Chapter 26 A Label Flipping Attack on Machine Learning Model and Its Defense Mechanism
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    Chapter 27 Astute Approach to Handling Memory Layouts of Regular Data Structures
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    Chapter 28 SparG: A Sparse GEMM Accelerator for Deep Learning Applications
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    Chapter 29 An Efficient Transformer Inference Engine on DSP
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    Chapter 30 GCNPart: Interference-Aware Resource Partitioning Framework with Graph Convolutional Neural Networks and Deep Reinforcement Learning
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    Chapter 31 PipeFB: An Optimized Pipeline Parallelism Scheme to Reduce the Peak Memory Usage
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    Chapter 32 Operator Placement for IoT Data Streaming Applications in Edge Computing Environment
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    Chapter 33 Makespan and Security-Aware Workflow Scheduling for Cloud Service Cost Minimization Using Firefly Optimizer
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    Chapter 34 Efficient Multiple-Precision and Mixed-Precision Floating-Point Fused Multiply-Accumulate Unit for HPC and AI Applications
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    Chapter 35 Efficient-Secure k -means Clustering Guaranteeing Personalized Local Differential Privacy
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    Chapter 36 Optimizing Yinyang K-Means Algorithm on ARMv8 Many-Core CPUs
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    Chapter 37 Mining High-Value Patents Leveraging Massive Patent Data
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    Chapter 38 EasyNUSC: An Efficient Heterogeneous Computing Framework for Non-uniform Sampling Two-Dimensional Convolution Applications
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    Chapter 39 DNNEmu : A Lightweight Performance Emulator for Distributed DNN Training
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    Chapter 40 Ordis: A Dynamic Order-Dispatch Algorithm for Ridehailing and Ridesharing in a Large Region
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    Chapter 41 Multi-initial-Center Federated Learning with Data Distribution Similarity-Aware Constraint
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    Chapter 42 An Efficient Graph Accelerator with Distributed On-Chip Memory Hierarchy
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    Chapter 43 Routing Protocol Based on Mission-Oriented Opportunistic Networks
Overall attention for this book and its chapters
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Title
Algorithms and Architectures for Parallel Processing
Published by
Springer Nature Switzerland, January 2023
DOI 10.1007/978-3-031-22677-9
ISBNs
978-3-03-122676-2, 978-3-03-122677-9
Editors

Meng, Weizhi, Lu, Rongxing, Min, Geyong, Vaidya, Jaideep

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