Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Brian Kroth"'
Autor:
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
Publikováno v:
ACM SIGMOD Record. 51:30-37
The recent success of machine learning (ML) has led to an explosive growth of systems and applications built by an ever-growing community of system builders and data science (DS) practitioners. This quickly shifting panorama, however, is challenging
Autor:
Konstantinos Kanellis, Cong Ding, Brian Kroth, Andreas Müller, Carlo Curino, Shivaram Venkataraman
Tuning a database system to achieve optimal performance on a given workload is a long-standing problem in the database community. A number of recent works have leveraged ML-based approaches to guide the sampling of large parameter spaces (hundreds of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfe1d86af8855bbe5be499a6c9f667de
http://arxiv.org/abs/2203.05128
http://arxiv.org/abs/2203.05128
Publikováno v:
Proceedings of the VLDB Endowment. 13:519-532
Solid State Drives (SSDs) are complex devices with varying internal implementations, resulting in subtle differences in behavior between devices. In this paper, we demonstrate how a database engine can be optimized for a particular device by learning
Autor:
Ed Thayer, Neha Godwal, Slava Oks, Sergiy Kuryata, Markus Weimer, Greg Lapinski, Brian Kroth, Yiwen Zhu, Siqi Liu, Adam Smiechowski, Carlo Curino, Olga Poppe
Publikováno v:
DEEM@SIGMOD
Developing modern systems software is a complex task that combines business logic programming and Software Performance Engineering (SPE). The later is an experimental and labor-intensive activity focused on optimizing the system for a given hardware,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2af91b60f45cd5922c5023c5b58b87b7
http://arxiv.org/abs/2006.02155
http://arxiv.org/abs/2006.02155
Publikováno v:
DaMoN
Non-volatile memory (NVM) is an emerging technology, which has the persistence characteristics of large capacity storage devices(e.g., HDDs and SSDs), while providing the low access latency and byte-addressablity of traditional DRAM memory. This uniq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::411bf8dd00d9fb6f31d32aecdbb1addb
Autor:
Meruje Ferreira, Luís Manuel1 (AUTHOR) luismeruje@gmail.com, Coelho, Fabio2 (AUTHOR) fabio.a.coelho@inesctec.pt, Pereira, José3 (AUTHOR) jop@di.uminho.pt
Publikováno v:
ACM Computing Surveys. Nov2024, Vol. 56 Issue 11, p1-40. 40p.
Publikováno v:
ACM Transactions on Architecture & Code Optimization; Sep2024, Vol. 21 Issue 3, p1-22, 22p
Publikováno v:
ACM Transactions on Storage; May2024, Vol. 20 Issue 2, p1-28, 28p
Publikováno v:
ACM Transactions on Storage; Feb2024, Vol. 20 Issue 1, p1-24, 24p
Publikováno v:
ACM Transactions on Storage; Nov2023, Vol. 19 Issue 4, p1-30, 30p