Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Rohan Kadekodi"'
Autor:
Molly Jane Nicholas, Nicolai Marquardt, Michel Pahud, Nathalie Riche, Hugo Romat, Christopher Collins, David Ledo, Rohan Kadekodi, Badrish Chandramouli, Ken Hinckley
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0276264059eafdf3340d596c36ebc3b3
https://doi.org/10.1145/3544548.3581115
https://doi.org/10.1145/3544548.3581115
Autor:
Aasheesh Kolli, Rohan Kadekodi, Vijay Chidambaram, Soujanya Ponnapalli, Gregory R. Ganger, Harshad Shirwadkar, Saurabh Kadekodi
Publikováno v:
SOSP
Modern persistent-memory (PM) file systems perform well in benchmark settings, when the file system is freshly created and empty. But after being aged by usage, as will be the normal mode in practice, their memory-mapped performance degrades signific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a918037d16aa8927371eca05e3c2766
https://doi.org/10.1145/3477132.3483567
https://doi.org/10.1145/3477132.3483567
We present SplitFS, a file system for persistent memory (PM) that reduces software overhead significantly compared to state-of-the-art PM file systems. SplitFS presents a novel split of responsibilities between a user-space library file system and an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efede789a0e76dc16e82b00ad6d5c1fa
http://arxiv.org/abs/1909.10123
http://arxiv.org/abs/1909.10123
Publikováno v:
SOSP
Key-value stores such as LevelDB and RocksDB offer excellent write throughput, but suffer high write amplification. The write amplification problem is due to the Log-Structured Merge Trees data structure that underlies these key-value stores. To reme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4e95e6e5b73b5d4ef7edf6268a42b4d
https://doi.org/10.1145/3132747.3132765
https://doi.org/10.1145/3132747.3132765