Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Ben Whitney"'
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring
Autor:
Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
Publikováno v:
SoftwareX, Vol 24, Iss , Pp 101590- (2023)
We describe MGARD, a software providing MultiGrid Adaptive Reduction for floating-point scientific data on structured and unstructured grids. With exceptional data compression capability and precise error control, MGARD addresses a wide range of requ
Externí odkaz:
https://doaj.org/article/e7ccffb856204f6982e53466473b0e3c
Publikováno v:
Computing. 105:1419-1465
Autor:
Lipeng Wan, David Pugmire, Xin Liang, Matthew Wolf, Dingwen Tao, Jieyang Chen, James Kress, Scott Klasky, Qing Liu, Norbert Podhorszki, Ben Whitney
Publikováno v:
IEEE Transactions on Computers. 71:1522-1536
Data management is becoming increasingly important in dealing with the large amounts of data produced by large-scale scientific simulations and instruments. Existing multilevel compression algorithms offer a promising way to manage scientific data at
Autor:
Ben Whitney
Protecting children from abuse has never been more central to our welfare system than it is now. Schools, and the people who work there, are vital to the government's vision for child protection. New laws, guidance and standards all set out what educ
Autor:
Qian Gong, Ben Whitney, Chengzhu Zhang, Xin Liang, Anand Rangarajan, Jieyang Chen, Lipeng Wan, Paul Ullrich, Qing Liu, Robert Jacob, Sanjay Ranka, Scott Klasky
Publikováno v:
34th International Conference on Scientific and Statistical Database Management.
Publikováno v:
SIAM Journal on Scientific Computing. 42:A1402-A1427
Previous work on multilevel techniques for compression and reduction of scientific data is extended to the case of data given on unstructured meshes in two and three dimensions. The centerpiece of ...
Autor:
Qian Gong, Xin Liang, Ben Whitney, Jong Youl Choi, Jieyang Chen, Lipeng Wan, Stéphane Ethier, Seung-Hoe Ku, R. Michael Churchill, C. -S. Chang, Mark Ainsworth, Ozan Tugluk, Todd Munson, David Pugmire, Richard Archibald, Scott Klasky
Publikováno v:
Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation ISBN: 9783030964979
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fa83c2eac538cd977efe0c58c1a4122
https://doi.org/10.1007/978-3-030-96498-6_2
https://doi.org/10.1007/978-3-030-96498-6_2
Autor:
Lipeng Wan, Jieyang Chen, Qian Gong, Norbert Podhorszki, Scott Klasky, Qing Liu, Ben Whitney, Rick Archibald, David Pugmire, Xin Liang
Publikováno v:
SC
Extreme-scale simulations and high-resolution instruments have been generating an increasing amount of data, which poses significant challenges to not only data storage during the run, but also post-processing where data will be repeatedly retrieved
Autor:
Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky
Publikováno v:
2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-7).
Publikováno v:
SIAM Journal on Scientific Computing. 41:A2146-A2171
Although many compression algorithms are focused on preserving pointwise values of the data, application scientists are generally more concerned with derived quantities. Equally well, the user may ...