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

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Raghunath Nambiar, Meikel Poess
Springer, 29 янв. 2019 г. - Всего страниц: 155
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.

 

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Содержание

Industry Panel on Defining Industry Standards for Benchmarking Artificial Intelligence
1
A Benchmark for Multimodel Database Management Systems
7
The First Benchmark for Polystores
24
Benchmarking Distributed Data Processing Systems for Machine Learning Workloads
42
Characterizing the Performance and Resilience of HCI Clusters with the TPCxHCI Benchmark
58
Requirements for an Enterprise AI Benchmark
71
Towards Evaluation of Tensorflow Performance in a Distributed Compute Environment
82
A Comparison of Two Cache Augmented SQL Architectures
94
Benchmarking and Performance Analysis of Event Sequence Queries on Relational Database
110
Using MongoDB Atlas as an Example
126
Lessons Learned from the Industrys First TPC Benchmark DS TPCDS
140
Author Index
155
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