Performance Evaluation and Benchmarking for the Era of Artificial Intelligence, 1st ed. 2019 10th TPC Technology Conference, TPCTC 2018, Rio de Janeiro, Brazil, August 27-31, 2018, Revised Selected Papers Programming and Software Engineering Series
Coordonnateurs : Nambiar Raghunath, Poess Meikel
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.
UniBench: A Benchmark for Multi-Model Database Management Systems.- PolyBench: The First Benchmark for Polystores.- Benchmarking Distributed Data Processing Systems for Machine Learning Workloads.- Characterizing the Performance and Resilience of HCI clusters with the TPCx-HCI Benchmark.- Requirements for an Enterprise AI Benchmark.- Requirements for an Enterprise AI Benchmark.- A Comparison of Two Cache Augmented SQL Architectures.- Benchmarking and Performance.- Data Consistency Properties of Document Store as a Service (DSaaS).- Lessons Learned from Performance Benchmarking of TPC-DS using Transwarp with Cisco UCS.
Date de parution : 01-2019
Ouvrage de 155 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 52,74 €
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Mots-clés :
artificial intelligence; benchmarks; computer architecture; database management systems; database performance; databases; decision support systems; hardware; industry standards; information storage and retrieval; internet; optimization; performance engineering; performance evaluation; query languages; relational database; software engineering; World Wide Web
