Performance Evaluation and Benchmarking: 14th TPC Technology Conference, TPCTC 2022, Sydney, NSW, Australia, September 5, 2022, Revised Selected Papers

This book presents the refereed post-conference proceedings of the 14th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2022, held in Sydney, Australia, focusing on Pick and Mix Isolation Levels, Benchmarking for Trustworthy and Responsible AI, Preliminary Scaling Characterization with TPCx-AI, and New Initiatives.

Format: Paperback / softback
Length: 149 pages
Publication date: 28 March 2023
Publisher: Springer International Publishing AG

The following is the rephrased text:
The 14th TPC Technology Conference on Performance Evaluation and Benchmarking (TPCTC 2022), held in Sydney, New South Wales, Australia, on September 5, 2022, has resulted in this book, which serves as the refereed post-conference proceedings. A total of 12 submissions were received, from which 5 revised full papers were carefully selected for presentation at the conference. The conference's main theme was "Pick and Mix Isolation Levels," with a focus on benchmarking considerations for trustworthy and responsible AI (Panel). Additionally, there were preliminary scaling characterization with TPCx-AI and new initiatives presented.

The conference aimed to bring together experts and researchers from various fields to discuss and explore the latest advancements in performance evaluation and benchmarking techniques. The selected papers covered a wide range of topics, including cloud computing, artificial intelligence, machine learning, and high-performance computing.

One of the key highlights of the conference was the panel discussion on "Benchmarking Considerations for Trustworthy and Responsible AI." The panel featured prominent experts in the field, who discussed the challenges and opportunities associated with the development and deployment of AI systems. They emphasized the importance of ethical and responsible practices in the design and evaluation of AI algorithms, as well as the need for transparent and reproducible benchmarking methodologies.

Another notable aspect of the conference was the presentation of preliminary scaling characterization with TPCx-AI. TPCx-AI is a new benchmarking framework that aims to evaluate the performance of AI systems across different domains and applications. The presentation showcased the framework's capabilities and demonstrated how it can be used to evaluate the performance of AI algorithms and systems.

Furthermore, the conference also featured new initiatives and projects that aimed to advance the field of performance evaluation and benchmarking. These initiatives included the development of open-source tools and libraries for performance analysis, as well as the establishment of collaboration platforms for researchers and practitioners to share their expertise and work together on performance-related projects.

Overall, the 14th TPC Technology Conference on Performance Evaluation and Benchmarking was a successful event that brought together experts and researchers from around the world to discuss and explore the latest advancements in performance evaluation and benchmarking techniques. The conference's theme of "Pick and Mix Isolation Levels" and the panel discussion on "Benchmarking Considerations for Trustworthy and Responsible AI" were particularly noteworthy, and the presentation of preliminary scaling characterization with TPCx-AI and new initiatives showcased the field's commitment to advancing the state-of-the-art.

Weight: 256g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031295751
Edition number: 1st ed. 2023