Information Systems and Applications, incl. Internet/Web, and HCI

Data Management on New Hardware

7th International Workshop on Accelerating Data Analysis and Data Management Systems Using Modern Processor and Storage Architectures, ADMS 2016 and 4th International Workshop on In-Memory Data Management and Analytics, IMDM 2016, New Delhi, India, September 1, 2016, Revised Selected Papers

Editors: Blanas, S., Bordawekar, R., Larhiri, T., Levandoski, J., Pavlo, A. (Eds.)

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Softcover $59.99
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About this book

This book contains selected papers from the 7th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, ADMS 2016, and the 4th International Workshop on In-Memory Data Management and Analytics, IMDM 2016, held in New Dehli, India, in September 2016. The joint Workshops were co-located with VLDB 2016. The 9 papers presented were carefully reviewed and selected from 18 submissions. They investigate opportunities in accelerating analytics/data management systems and workloads (including traditional OLTP, data warehousing/OLAP, ETL streaming/real-time, business analytics, and XML/RDF processing) running memory-only environments, using processors (e.g. commodity and specialized multi-core, GPUs and FPGAs, storage systems (e.g. storage-class memories like SSDs and phase-change memory), and hybrid programming models like CUDA, OpenCL, and Open ACC. The papers also explore the interplay between overall system design, core algorithms, query optimization strategies, programming approaches, performance modeling and evaluation, from the perspective of data management applications.

Table of contents (9 chapters)

  • Cache-Sensitive Skip List: Efficient Range Queries on Modern CPUs

    Sprenger, Stefan (et al.)

    Pages 1-17

  • Exploit Every Cycle: Vectorized Time Series Algorithms on Modern Commodity CPUs

    Tang, Bo (et al.)

    Pages 18-39

  • Compression-Aware In-Memory Query Processing: Vision, System Design and Beyond

    Hildebrandt, Juliana (et al.)

    Pages 40-56

  • Overtaking CPU DBMSes with a GPU in Whole-Query Analytic Processing with Parallelism-Friendly Execution Plan Optimization

    Agbaria, Adnan (et al.)

    Pages 57-78

  • To Copy or Not to Copy: Making In-Memory Databases Fast on Modern NICs

    Kesavan, Aniraj (et al.)

    Pages 79-94

Buy this book

eBook $44.99
price for USA in USD (gross)
  • ISBN 978-3-319-56111-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.99
price for USA in USD
  • ISBN 978-3-319-56110-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Data Management on New Hardware
Book Subtitle
7th International Workshop on Accelerating Data Analysis and Data Management Systems Using Modern Processor and Storage Architectures, ADMS 2016 and 4th International Workshop on In-Memory Data Management and Analytics, IMDM 2016, New Delhi, India, September 1, 2016, Revised Selected Papers
Editors
  • Spyros Blanas
  • Rajesh Bordawekar
  • Tirthankar Larhiri
  • Justin Levandoski
  • Andrew Pavlo
Series Title
Information Systems and Applications, incl. Internet/Web, and HCI
Series Volume
10195
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-56111-0
DOI
10.1007/978-3-319-56111-0
Softcover ISBN
978-3-319-56110-3
Edition Number
1
Number of Pages
VII, 167
Number of Illustrations and Tables
99 b/w illustrations
Topics