Product details:
| ISBN13: | 9783031295751 |
| ISBN10: | 3031295757 |
| Binding: | Paperback |
| No. of pages: | 149 pages |
| Size: | 235x155 mm |
| Weight: | 256 g |
| Language: | English |
| Illustrations: | 17 Illustrations, black & white; 40 Illustrations, color |
| 540 |
Category:
Theory of computing, computing in general
System analysis, system planning
System organization
Mainframes and minicomputers
Operating systems and graphical user interfaces
Man-machine interaction
Theory of computing, computing in general (charity campaign)
System analysis, system planning (charity campaign)
System organization (charity campaign)
Mainframes and minicomputers (charity campaign)
Operating systems and graphical user interfaces (charity campaign)
Man-machine interaction (charity campaign)
Performance Evaluation and Benchmarking
14th TPC Technology Conference, TPCTC 2022, Sydney, NSW, Australia, September 5, 2022, Revised Selected Papers
Series:
Lecture Notes in Computer Science;
13860;
Edition number: 1st ed. 2023
Publisher: Springer
Date of Publication: 28 March 2023
Number of Volumes: 1 pieces, Book
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Long description:
This book constitutes the refereed post-conference proceedings the 14th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2022, which was held in Sydney, NSW, Australia, on September 5, 2022.
The 5 revised full papers presented were carefully selected from 12 submissions. The conference focuses on Pick and Mix Isolation Levels; Benchmarking considerations for Trustworthy and Responsible AI (Panel); Preliminary Scaling Characterization with TPCx-AI and New Initiatives.
Table of Contents:
Pick and Mix Isolation Levels: Mixed Serialization Graph Testing.- BODS: A Benchmark on Data Sortedness.- Disaggregated Database Management Systems (Panel).- TPCx-AI on NVIDIA Jetson.- More the Merrier: Comparative evaluation of TPCx-AI and MLPerf Benchmarks for AI.- Preliminary Scaling Characterization with TPCx-AI.- 4mbench: Performance Benchmark of Manufacturing Business Database.- Benchmarking considerations for Trustworthy and Responsible AI (Panel).- TPCx-AI: First Adopter's Experience Report.- New Initiatives in the TPC.