Zobrazeno 1 - 10
of 208
pro vyhledávání: '"LINPENG HUANG"'
Publikováno v:
IEEE Access, Vol 7, Pp 128097-128113 (2019)
Clustering is a long-standing important research problem. However, it remains challenging when handling large-scale web data from different types of information resources such as user profile, comments, user preferences and so on. All these aspects c
Externí odkaz:
https://doaj.org/article/f7cdc06a5730465aa38cc1bea9c4a08e
Publikováno v:
ACM Transactions on Storage. 19:1-28
Emerging fast, byte-addressable persistent memory (PM) promises substantial storage performance gains compared with traditional disks. We present TPFS, a tiered file system that combines PM and slow disks to create a storage system with near-PM perfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fbfcffa20fbcc20039ba698e856fb4c
https://doi.org/10.1145/3580280
https://doi.org/10.1145/3580280
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:4192-4206
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0a573a9ec81a5a30cbc84d348c72ebb
https://doi.org/10.1109/tpds.2022.3180369
https://doi.org/10.1109/tpds.2022.3180369
Publikováno v:
Proceedings of the VLDB Endowment. 15:1187-1200
Persistent memory (PM) promises near-DRAM performance as well as data persistency. Recently, a new feature called eADR is available on the 2 nd generation Intel Optane PM with the 3 rd generation Intel Xeon Scalable Processors. eADR ensures that data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2970fd686c00535018c21737034636ce
https://doi.org/10.14778/3514061.3514066
https://doi.org/10.14778/3514061.3514066
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53c3d8263eccfeb410cae74cc37ded62
https://doi.org/10.1109/tkde.2022.3186387
https://doi.org/10.1109/tkde.2022.3186387
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 15:1-24
Among various recommendation methods, latent factor models are usually considered to be state-of-the-art techniques, which aim to learn user and item embeddings for predicting user-item preferences. When applying latent factor models to the recommend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03232b2b285ffc8408345a4e32a0a3e6
https://doi.org/10.1145/3447395
https://doi.org/10.1145/3447395
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 32:649-664
Emerging non-volatile memory (also termed as persistent memory, PM) technologies promise persistence, byte-addressability, and DRAM-like read/write latency. A proliferation of persistent memory systems have been proposed to leverage PM for fast data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23adc5508d0444e8b2929dc866bfa49b
https://doi.org/10.1109/tpds.2020.3028385
https://doi.org/10.1109/tpds.2020.3028385
Publikováno v:
Future Generation Computer Systems. 107:383-393
Researchers are attempting to exploit the non-volatile nature of Persistent Memory (PM) in various applications. To utilize persistence, many solutions enforce strict, sequential write orderings that are propagated through the cache hierarchy, inevit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::372881beb2b2398f57200e012215e79b
https://doi.org/10.1016/j.future.2020.01.047
https://doi.org/10.1016/j.future.2020.01.047
Autor:
Linpeng Huang, Sumin Li
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems. 16:1-17
New and emerging types of Persistent Memory (PM) technologies boost the opportunity to improve the performance of storage systems. PM can unify the main memory and secondary storage by incorporating it into legacy computer systems through the memory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa5c7d43bef4ff439b39c5015327d6c1
https://doi.org/10.1145/3379932
https://doi.org/10.1145/3379932
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783031001222
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84ee340b2fd767d81a0af821d93fd6cb
https://doi.org/10.1007/978-3-031-00123-9_28
https://doi.org/10.1007/978-3-031-00123-9_28
