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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
Attention for Chapter 3: Efficient Management for Hybrid Memory in Managed Language Runtime
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4 Mendeley
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Chapter title
Efficient Management for Hybrid Memory in Managed Language Runtime
Chapter number 3
Book title
Network and Parallel Computing
Published by
Springer, Cham, October 2016
DOI 10.1007/978-3-319-47099-3_3
Book ISBNs
978-3-31-947098-6, 978-3-31-947099-3
Authors

Chenxi Wang, Ting Cao, John Zigman, Fang Lv, Yunquan Zhang, Xiaobing Feng, Wang, Chenxi, Cao, Ting, Zigman, John, Lv, Fang, Zhang, Yunquan, Feng, Xiaobing

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 25%
Researcher 1 25%
Student > Doctoral Student 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Unknown 1 25%