Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Lipeng Wan"'
Autor:
Tian Zhou, Fangyu Zheng, Guang Fan, Lipeng Wan, Wenxu Tang, Yixuan Song, Yi Bian, Jingqiang Lin
Publikováno v:
Transactions on Cryptographic Hardware and Embedded Systems, Vol 2024, Iss 2 (2024)
The remarkable performance capabilities of AI accelerators offer promising opportunities for accelerating cryptographic algorithms, particularly in the context of lattice-based cryptography. However, current approaches to leveraging AI accelerators o
Externí odkaz:
https://doaj.org/article/22734d8eaee6410c8372164f3255bbf5
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:
Animals, Vol 14, Iss 5, p 672 (2024)
The Wushan Salamander (Liua shihi), Jinfo Salamander (Pseudohynobius jinfo), and Wenxian Knobby Salamander (Tylototriton wenxianensis) are rare national Class II protected wild animals in China. We performed MaxEnt modeling to predict and analyze the
Externí odkaz:
https://doaj.org/article/3e30a02bdeda4fc0b5bdc6615dea2318
Autor:
Ana Gainaru, Lipeng Wan, Ruonan Wang, Eric Suchyta, Jieyang Chen, Norbert Podhorszki, James Kress, David Pugmire, Scott Klasky
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:4134-4147
Autor:
William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip Davis, Jong Choi, Kai Germaschewski, Kevin Huck, Axel Huebl, Mark Kim, James Kress, Tahsin Kurc, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky
Publikováno v:
SoftwareX, Vol 12, Iss , Pp 100561- (2020)
We present ADIOS 2, the latest version of the Adaptable Input Output (I/O) System. ADIOS 2 addresses scientific data management needs ranging from scalable I/O in supercomputers, to data analysis in personal computer and cloud systems. Version 2 intr
Externí odkaz:
https://doaj.org/article/1b10ffd8ae92432b9967bc2e0905e38d
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
Publikováno v:
Photonics, Vol 8, Iss 4, p 92 (2021)
Optical twist has always been a hot spot in optics since it was discovered in 1993. Twisted beams can be generated by introducing the twist phase into partially coherent beams, or by introducing the twisting phase into anisotropic beams, whose spectr
Externí odkaz:
https://doaj.org/article/270e3753ae0240b299c56e4f23db9a4e
Autor:
Lipeng Wan, Guiqin Yang
Publikováno v:
2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC).
Autor:
Weiqing Gao, Lei Zhang, Haiwen Chen, Jingya Li, Yuxi Jiang, Lipeng Wan, Yong Zhou, Xiaohui Ma
Publikováno v:
Journal of Modern Optics. 68:806-810
Autor:
Todd Munson, Ian Foster, Shinjae Yoo, Hubertus J. J. van Dam, Igor Yakushin, Zichao Di, Line Pouchard, Manish Parashar, Kerstin Kleese van Dam, Ali Murat Gok, Kevin Huck, Xin Liang, Ozan Tugluk, Lipeng Wan, Justin M. Wozniak, Wei Xu, Kshitij Mehta, Jong Choi, Matthew Wolf, Mark Ainsworth, Julie Bessac, Franck Cappello, Sheng Di, Tom Peterka, Hanqi Guo, Scott Klasky, Christopher Kelly, Tong Shu
Publikováno v:
The International Journal of High Performance Computing Applications. 35:617-635
A growing disparity between supercomputer computation speeds and I/O rates means that it is rapidly becoming infeasible to analyze supercomputer application output only after that output has been written to a file system. Instead, data-generating app