Algorithms and Architectures for Parallel Processing

Table of Contents

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   Book Overview
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   Chapter 1 Network-Aware Grouping in Distributed Stream Processing Systems
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   Chapter 2 vPlacer: A Co-scheduler for Optimizing the Performance of Parallel Jobs in Xen
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   Chapter 3 Document Nearest Neighbors Query Based on Pairwise Similarity with MapReduce
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   Chapter 4 Accurate Identification of Internet Video Traffic Using Byte Code Distribution Features
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   Chapter 5 RISC: Risk Assessment of Instance Selection in Cloud Markets
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   Chapter 6 Real-Time Data Stream Partitioning over a Sliding Window in Real-Time Spatial Big Data
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   Chapter 7 A Priority and Fairness Mixed Compaction Scheduling Mechanism for LSM-tree Based KV-Stores
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   Chapter 8 PruX: Communication Pruning of Parallel BFS in the Graph 500 Benchmark
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    Chapter 9 Comparative Study of Distributed Deep Learning Tools on Supercomputers
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    Chapter 10 Noncooperative Optimization of Multi-user Request Strategy in Cloud Service Composition Reservation
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    Chapter 11 Most Memory Efficient Distributed Super Points Detection on Core Networks
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    Chapter 12 Parallel Implementation and Optimizations of Visibility Computing of 3D Scene on Tianhe-2 Supercomputer
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    Chapter 13 Efficient Algorithms of Parallel Skyline Join over Data Streams
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    Chapter 14 Air Flow Based Failure Model for Data Centers
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    Chapter 15 Adaptive Load Balancing on Multi-core IPsec Gateway
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    Chapter 16 An Active Learning Based on Uncertainty and Density Method for Positive and Unlabeled Data
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    Chapter 17 TAMM: A New Topology-Aware Mapping Method for Parallel Applications on the Tianhe-2A Supercomputer
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    Chapter 18 Adaptive Data Sampling Mechanism for Process Object
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    Chapter 19 MedusaVM: Decentralizing Virtual Memory System for Multithreaded Applications on Many-core
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    Chapter 20 An Efficient Retrieval Method for Astronomical Catalog Time Series Data
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    Chapter 21 Maintaining Root via Custom Android Kernel Across Over-The-Air Upgrade
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    Chapter 22 Accelerating Pattern Matching with CPU-GPU Collaborative Computing
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    Chapter 23 An Incremental Map Matching Algorithm Based on Weighted Shortest Path
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    Chapter 24 Asynchronous Parallel Dijkstra’s Algorithm on Intel Xeon Phi Processor
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    Chapter 25 DA Placement: A Dual-Aware Data Placement in a Deduplicated and Erasure-Coded Storage System
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    Chapter 26 Improving Restore Performance of Deduplication Systems by Leveraging the Chunk Sequence in Backup Stream
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    Chapter 27 Blockchain-Based Secure and Reliable Distributed Deduplication Scheme
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    Chapter 28 Controlled Channel Attack Detection Based on Hardware Virtualization
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    Chapter 29 CuAPSS: A Hybrid CUDA Solution for AllPairs Similarity Search
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    Chapter 30 A Parallel Branch and Bound Algorithm for the Probabilistic TSP
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    Chapter 31 Accelerating Artificial Bee Colony Algorithm with Elite Neighborhood Learning
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    Chapter 32 Distributed Parallel Simulation of Primary Sample Space Metropolis Light Transport
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    Chapter 33 Parallel Statistical and Machine Learning Methods for Estimation of Physical Load
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    Chapter 34 Parallel Communication Mechanisms in Solving Integral Equations for Electromagnetic Scattering Based on the Method of Moments
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    Chapter 35 POWER: A Parallel-Optimization-Based Framework Towards Edge Intelligent Image Recognition and a Case Study
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    Chapter 36 SP-TSRM: A Data Grouping Strategy in Distributed Storage System
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    Chapter 37 Abstract Parallel Array Types and Ghost Cell Update Implementation
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    Chapter 38 Accelerating Low-End Edge Computing with Cross-Kernel Functionality Abstraction
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    Chapter 39 A High-Performance and High-Reliability RAIS5 Storage Architecture with Adaptive Stripe
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    Chapter 40 ADAM: An Adaptive Directory Accelerating Mechanism for NVM-Based File Systems
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    Chapter 41 A Parallel Method for All-Pair SimRank Similarity Computation
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    Chapter 42 CLDM: A Cache Cleaning Algorithm for Host Aware SMR Drives
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    Chapter 43 HyGrid: A CPU-GPU Hybrid Convolution-Based Gridding Algorithm in Radio Astronomy
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    Chapter 44 COUSTIC: Combinatorial Double Auction for Crowd Sensing Task Assignment in Device-to-Device Clouds