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Performance Evaluation and Benchmarking: 14th TPC Technology Conference, TPCTC 2022, Sydney, NSW, Australia, September 5, 2022, Revised Selected Papers
2022 Proceeding
Publisher:
  • Springer-Verlag
  • Berlin, Heidelberg
Conference:
Technology Conference on Performance Evaluation and BenchmarkingSydney, NSW, Australia5 September 2022
ISBN:
978-3-031-29575-1
Published:
06 April 2023

Reflects downloads up to 06 Jan 2025Bibliometrics
Abstract

No abstract available.

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front-matter
Front Matter
Pages i–ix
back-matter
Back Matter
Article
Pick & Mix Isolation Levels: Mixed Serialization Graph Testing
Abstract

Concurrency control is an integral component in achieving high performance in many-core databases. Implementing serializable transaction processing efficiently is challenging. One approach, serialization graph testing (SGT) faithfully implements ...

Article
BoDS: A Benchmark on Data Sortedness
Abstract

Indexes in data systems accelerate data access by adding structure to otherwise unstructured data at the cost of index construction and maintenance. Data systems, and particularly, the underlying indexing data structures are designed to offer ...

Article
Disaggregated Database Management Systems
Abstract

Modern applications demand high performance and cost efficient database management systems (DBMSs). Their workloads may be diverse, ranging from online transaction processing to analytics and decision support. The cloud infrastructure enables ...

Article
TPCx-AI on NVIDIA Jetsons
Abstract

Despite their resource- and power-constrained nature, edge devices also exhibit an increase in the available compute and memory resources and heterogeneity, similar to the evolution of server hardware in the past decade. For example, NVIDIA Jetson ...

Article
More the Merrier: Comparative Evaluation of TPCx-AI and MLPerf Benchmarks for AI
Abstract

With AI systems and solutions increasingly being deployed across many industries, measuring performance of AI workloads remains a priority in computing. TPCx-AI is a new benchmarking suite developed by TPC to address this need. It provides an ...

Article
Preliminary Scaling Characterization of TPCx-AI
Abstract

TPCx-AI is the latest TPC benchmark addressing some of the numerous challenges in AI benchmarking. It has the ability to scale datasets, to emulate machine learning and deep learning end-to-end pipelines, and to provide solutions that are ...

Article
4mbench: Performance Benchmark of Manufacturing Business Database
Abstract

A massive number of networked sensors are incorporated into the manufacturing business field, enabling its whole manufacturing process to be monitored and transformed into digital records. Intensive analysis of these digital assets has the ...

Article
Benchmarking Considerations for Trustworthy and Responsible AI (Panel)
Abstract

Continuing growth of Artificial Intelligence (AI) adoption across enterprises and governments around the world has fueled the demand for trustworthy AI systems and applications. The need ranges from the so-called Explainable or Interpretable AI to ...

Article
TPCx-AI: First Adopter’s Experience Report
Abstract

This paper provides a report based on the first TPCx-AI benchmark publication.

Article
New Initiatives in the TPC
Abstract

TPC stands for stricter standards and tougher tests in system benchmarking for over 30 years, during which technology advanced enormously. In order to stay relevant the TPC had to adapt to the advancing technology or become obsolete. Initially, ...

Contributors
  • Advanced Micro Devices, Inc.
  • Oracle Corporation

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