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Data Management on New Hardware

Overview of attention for book
Cover of 'Data Management on New Hardware'

Table of Contents

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    Book Overview
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    Chapter 1 Cache-Sensitive Skip List: Efficient Range Queries on Modern CPUs
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    Chapter 2 Exploit Every Cycle: Vectorized Time Series Algorithms on Modern Commodity CPUs
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    Chapter 3 Compression-Aware In-Memory Query Processing: Vision, System Design and Beyond
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    Chapter 4 Overtaking CPU DBMSes with a GPU in Whole-Query Analytic Processing with Parallelism-Friendly Execution Plan Optimization
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    Chapter 5 To Copy or Not to Copy: Making In-Memory Databases Fast on Modern NICs
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    Chapter 6 DBMS Data Loading: An Analysis on Modern Hardware
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    Chapter 7 Locality-Adaptive Parallel Hash Joins Using Hardware Transactional Memory
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    Chapter 8 SwingDB: An Embedded In-memory DBMS Enabling Instant Snapshot Sharing
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    Chapter 9 Runtime Fragility in Main Memory
Attention for Chapter 4: Overtaking CPU DBMSes with a GPU in Whole-Query Analytic Processing with Parallelism-Friendly Execution Plan Optimization
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mendeley
3 Mendeley
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Chapter title
Overtaking CPU DBMSes with a GPU in Whole-Query Analytic Processing with Parallelism-Friendly Execution Plan Optimization
Chapter number 4
Book title
Data Management on New Hardware
Published by
Springer, Cham, September 2016
DOI 10.1007/978-3-319-56111-0_4
Book ISBNs
978-3-31-956110-3, 978-3-31-956111-0
Authors

Adnan Agbaria, David Minor, Natan Peterfreund, Eyal Rozenberg, Ofer Rosenberg, Agbaria, Adnan, Minor, David, Peterfreund, Natan, Rozenberg, Eyal, Rosenberg, Ofer

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Bachelor 1 33%
Researcher 1 33%
Readers by discipline Count As %
Computer Science 3 100%

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