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Performance Evaluation and Benchmarking for the Era of Artificial Intelligence

10th TPC Technology Conference, TPCTC 2018, Rio de Janeiro, Brazil, August 27–31, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Raghunath Nambiar

    1. Advanced Micro Systems, Inc., Santa Clara, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Meikel Poess

    1. Oracle Corporation, Redwood Shores, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11135)

Part of the book sub series: Programming and Software Engineering (LNPSE)

Included in the following conference series:

Conference proceedings info: TPCTC 2018.

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Table of contents (11 papers)

  1. Front Matter

    Pages I-XIII
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  2. Industry Panel on Defining Industry Standards for Benchmarking Artificial Intelligence

    • Raghunath Nambiar, Shahram Ghandeharizadeh, Gary Little, Christoph Boden, Ajay Dholakia
    Pages 1-6

  3. UniBench: A Benchmark for Multi-model Database Management Systems

    • Chao Zhang, Jiaheng Lu, Pengfei Xu, Yuxing Chen
    Pages 7-23

  4. PolyBench: The First Benchmark for Polystores

    • Jeyhun Karimov, Tilmann Rabl, Volker Markl
    Pages 24-41

  5. Benchmarking Distributed Data Processing Systems for Machine Learning Workloads

    • Christoph Boden, Tilmann Rabl, Sebastian Schelter, Volker Markl
    Pages 42-57

  6. Characterizing the Performance and Resilience of HCI Clusters with the TPCx-HCI Benchmark

    • H. Reza Taheri, Gary Little, Bhavik Desai, Andrew Bond, Doug Johnson, Greg Kopczynski
    Pages 58-70

  7. Requirements for an Enterprise AI Benchmark

    • Cedric Bourrasset, France Boillod-Cerneux, Ludovic Sauge, Myrtille Deldossi, Francois Wellenreiter, Rajesh Bordawekar et al.
    Pages 71-81

  8. Towards Evaluation of Tensorflow Performance in a Distributed Compute Environment

    • Miro Hodak, Ajay Dholakia
    Pages 82-93

  9. A Comparison of Two Cache Augmented SQL Architectures

    • Shahram Ghandeharizadeh, Hieu Nguyen
    Pages 94-109

  10. Benchmarking and Performance Analysis of Event Sequence Queries on Relational Database

    • Yuto Hayamizu, Ryoji Kawamichi, Kazuo Goda, Masaru Kitsuregawa
    Pages 110-125

  11. Data Consistency Properties of Document Store as a Service (DSaaS): Using MongoDB Atlas as an Example

    • Chenhao Huang, Michael Cahill, Alan Fekete, Uwe Röhm
    Pages 126-139

  12. Lessons Learned from the Industry’s First TPC Benchmark DS (TPC-DS)

    • Manan Trivedi, Zhenqiang Chen
    Pages 140-154

  13. Back Matter

    Pages 155-155
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  1. Performance Evaluation and Benchmarking for the Era of Artificial Intelligence

Keywords

About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 10th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2018, held in conjunction with the 44th International Conference on Very Large Databases (VLDB 2018) in August 2018.

The 10 papers presented were carefully reviewed and selected from numerous submissions.

The TPC encourages researchers and industry experts to present and debate novel ideas and methodologies in performance evaluation, measurement, and characterization.

Editors and Affiliations

  • Advanced Micro Systems, Inc., Santa Clara, USA

    Raghunath Nambiar

  • Oracle Corporation, Redwood Shores, USA

    Meikel Poess

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