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pro vyhledávání: '"Meikel Poess"'
Autor:
Meikel Poess
Publikováno v:
Datenbank-Spektrum. 22:241-248
Autor:
Meikel Poess
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031295751
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37e7b3d9647176443b87da2540f9c0c3
https://doi.org/10.1007/978-3-031-29576-8_10
https://doi.org/10.1007/978-3-031-29576-8_10
Autor:
Raghunath Nambiar, Meikel Poess
This book constitutes the refereed post-conference proceedings from the 15th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2023, held in Vancouver, British Columbia, Canada, during August 28 – September 1, 2023. The 9
Autor:
Meikel Poess
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030849238
TPCTC
TPCTC
The Transaction Processing Performance Council (TPC) has a very successful history of disseminating objective and verifiable performance data to the industry. However, it lacks the ability to create new benchmarks in a timely fashion. In its initial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c89e3b5f4ffea4590340f393e9c5ef9e
https://doi.org/10.1007/978-3-030-84924-5_8
https://doi.org/10.1007/978-3-030-84924-5_8
Autor:
Raghunath Nambiar, Meikel Poess
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 presen
Autor:
Raghunath Nambiar, Meikel Poess
This book constitutes the refereed post-conference proceedings of the 13th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2021, held in August 2021. The 9 papers presented were carefully reviewed and selected from numerou
Autor:
Raghunath Nambiar, Meikel Poess
This book constitutes the refereed post-conference proceedings of the 12th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2020, held in August 2020.The 8 papers presented were carefully reviewed and cover the following to
Publikováno v:
ICPE Companion
Many benchmarks have been proposed to measure the training/learning aspects of Artificial Intelligence systems. This is without doubt very important, because its methods are very computationally expensive, and, therefore, offering a wide variety of t