Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zhenbo Qiao"'
Publikováno v:
SC
As high-performance computing (HPC) is being scaled up to exascale to accommodate new modeling and simulation needs, I/O has continued to be a major bottleneck in the end-to-end scientific processes. Nevertheless, prior work in this area mostly aimed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc853ce0e6b4f82acb64edd00cb43f0e
https://doi.org/10.1109/sc41405.2020.00015
https://doi.org/10.1109/sc41405.2020.00015
Publikováno v:
IEEE Transactions on Multi-Scale Computing Systems. 4:900-913
Scientific simulations on high performance computing (HPC) platforms generate large quantities of data. To bridge the widening gap between compute and I/O, and enable data to be more efficiently stored and analyzed, simulation outputs need to be refa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe329cd9e23aedd68f25ec2030f3c549
https://doi.org/10.1109/tmscs.2018.2886851
https://doi.org/10.1109/tmscs.2018.2886851
Publikováno v:
IEEE Letters of the Computer Society. 1:5-8
High-performance computing (HPC) applications generate large amounts of floating-point data that need to be stored and analyzed efficiently to extract the insights and advance knowledge discovery. With the growing disparities between compute and I/O,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e66aa16de289513a6c01ffcb89ea1c9
https://doi.org/10.1109/lcos.2018.2855118
https://doi.org/10.1109/lcos.2018.2855118
Autor:
Dan Huang, Haitao Yuan, Zhenbo Qiao, Huizhang Luo, MengChu Zhou, Qing Liu, Hong Jiang, Zhenlu Qin, Jinzhen Wang, Jing Bi
Publikováno v:
IPDPS
With the high volume and velocity of scientific data produced on high-performance computing systems, it has become increasingly critical to improve the compression performance. Leveraging the general tolerance of reduced accuracy in applications, los
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de7c393d177533d17815affbd1b202e3
https://doi.org/10.1109/ipdps.2019.00039
https://doi.org/10.1109/ipdps.2019.00039
Autor:
Qing Liu, Jong Choi, Mathew Wolf, Scott Klasky, E. Suchyta, Tong Liu, Tao Lu, Norbert Podhorszki, Huizhang Luo, Xubin He, Zhenbo Qiao
Publikováno v:
IPDPS
Scientific simulations generate large amounts of floating-point data, which are often not very compressible using the traditional reduction schemes, such as deduplication or lossless compression. The emergence of lossy floating-point compression hold
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4186a71c890c7c48271f7e0d5e36757f
https://doi.org/10.1109/ipdps.2018.00044
https://doi.org/10.1109/ipdps.2018.00044