Micro-architectural analysis of a learned index

Mikkel Møller Andersen; Pinar Tözün

doi:10.1145/3533702.3534917

Micro-architectural analysis of a learned index

Mikkel Møller Andersen
, Pinar Tözün

Data-intensive Systems and Applications

Aalborg Universitet

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Originalsprog	Engelsk
Titel	aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, Philadelphia, Pennsylvania, USA, 17 June 2022
Redaktører	Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Donatella Firmani, Ryan Marcus
Forlag	Association for Computing Machinery
Publikationsdato	2022
Sider	5:1-5:12
ISBN (Elektronisk)	978-1-4503-9377-5
DOI	https://doi.org/10.1145/3533702.3534917
Status	Udgivet - 2022

Adgang til dokumentet

10.1145/3533702.3534917

https://doi.org/10.1145/3533702.3534917

Citationsformater

Andersen, M. M., & Tözün, P. (2022). Micro-architectural analysis of a learned index. I R. Bordawekar, O. Shmueli, Y. Amsterdamer, D. Firmani, & R. Marcus (red.), aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, Philadelphia, Pennsylvania, USA, 17 June 2022 (s. 5:1-5:12). Association for Computing Machinery. https://doi.org/10.1145/3533702.3534917

Andersen, Mikkel Møller ; Tözün, Pinar. / Micro-architectural analysis of a learned index. aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, Philadelphia, Pennsylvania, USA, 17 June 2022. red. / Rajesh Bordawekar ; Oded Shmueli ; Yael Amsterdamer ; Donatella Firmani ; Ryan Marcus. Association for Computing Machinery, 2022. s. 5:1-5:12

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title = "Micro-architectural analysis of a learned index",

author = "Andersen, \{Mikkel M{\o}ller\} and Pinar T{\"o}z{\"u}n",

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doi = "10.1145/3533702.3534917",

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pages = "5:1--5:12",

editor = "Rajesh Bordawekar and Oded Shmueli and Yael Amsterdamer and Donatella Firmani and Ryan Marcus",

booktitle = "aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, Philadelphia, Pennsylvania, USA, 17 June 2022",

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Andersen, MM & Tözün, P 2022, Micro-architectural analysis of a learned index. i R Bordawekar, O Shmueli, Y Amsterdamer, D Firmani & R Marcus (red), aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, Philadelphia, Pennsylvania, USA, 17 June 2022. Association for Computing Machinery, s. 5:1-5:12. https://doi.org/10.1145/3533702.3534917

Micro-architectural analysis of a learned index. / Andersen, Mikkel Møller; Tözün, Pinar.
aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, Philadelphia, Pennsylvania, USA, 17 June 2022. red. / Rajesh Bordawekar; Oded Shmueli; Yael Amsterdamer; Donatella Firmani; Ryan Marcus. Association for Computing Machinery, 2022. s. 5:1-5:12.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Micro-architectural analysis of a learned index

AU - Andersen, Mikkel Møller

AU - Tözün, Pinar

PY - 2022

Y1 - 2022

U2 - 10.1145/3533702.3534917

DO - 10.1145/3533702.3534917

M3 - Article in proceedings

SP - 5:1-5:12

BT - aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, Philadelphia, Pennsylvania, USA, 17 June 2022

A2 - Bordawekar, Rajesh

A2 - Shmueli, Oded

A2 - Amsterdamer, Yael

A2 - Firmani, Donatella

A2 - Marcus, Ryan

PB - Association for Computing Machinery

ER -

Andersen MM, Tözün P. Micro-architectural analysis of a learned index. I Bordawekar R, Shmueli O, Amsterdamer Y, Firmani D, Marcus R, red., aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, Philadelphia, Pennsylvania, USA, 17 June 2022. Association for Computing Machinery. 2022. s. 5:1-5:12 doi: 10.1145/3533702.3534917