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Network and Parallel Computing

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Cover of 'Network and Parallel Computing'

Table of Contents

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    Book Overview
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    Chapter 1 VIOS: A Variation-Aware I/O Scheduler for Flash-Based Storage Systems
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    Chapter 2 Exploiting Cross-Layer Hotness Identification to Improve Flash Memory System Performance
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    Chapter 3 Efficient Management for Hybrid Memory in Managed Language Runtime
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    Chapter 4 Application-Based Coarse-Grained Incremental Checkpointing Based on Non-volatile Memory
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    Chapter 5 DASM: A Dynamic Adaptive Forward Assembly Area Method to Accelerate Restore Speed for Deduplication-Based Backup Systems
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    Chapter 6 A Statistics Based Prediction Method for Rendering Application
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    Chapter 7 IBB: Improved K-Resource Aware Backfill Balanced Scheduling for HTCondor
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    Chapter 8 Multipath Load Balancing in SDN/OSPF Hybrid Network
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    Chapter 9 A Study of Overflow Vulnerabilities on GPUs
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    Chapter 10 Streaming Applications on Heterogeneous Platforms
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    Chapter 11 DSS: A Scalable and Efficient Stratified Sampling Algorithm for Large-Scale Datasets
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    Chapter 12 A Fast and Better Hybrid Recommender System Based on Spark
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    Chapter 13 Discovering Trip Patterns from Incomplete Passenger Trajectories for Inter-zonal Bus Line Planning
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    Chapter 14 FCM: A Fine-Grained Crowdsourcing Model Based on Ontology in Crowd-Sensing
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    Chapter 15 QIM: Quantifying Hyperparameter Importance for Deep Learning
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    Chapter 16 Toward a Parallel Turing Machine Model
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    Chapter 17 On Determination of Balance Ratio for Some Tree Structures
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Network and Parallel Computing
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-47099-3
978-3-31-947098-6, 978-3-31-947099-3

Guang R. Gao, Depei Qian, Xinbo Gao, Barbara Chapman, Wenguang Chen

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Student > Bachelor 3 33%
Researcher 1 11%
Student > Master 1 11%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 6 67%
Nursing and Health Professions 1 11%
Engineering 1 11%
Unknown 1 11%