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Akademický článek
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Publikováno v:
Atmospheric and Oceanic Science Letters, Vol 10, Iss 4, Pp 329-336 (2017)
High computational performance is extremely important for climate system models, especially in ultra-high-resolution model development. In this study, the computational performance of the Finite-volume Atmospheric Model of the IAP/LASG (FAMIL) was co
Externí odkaz:
https://doaj.org/article/b1cb1b153bbc48db8d773a376fa723a2
Publikováno v:
Tsinghua Science and Technology. 26:309-321
The Kinetic Monte Carlo (KMC) is one of the commonly used methods for simulating radiation damage of materials. Our team develops a parallel KMC software named Crystal-KMC, which supports the Embedded Atom Method (EAM) potential energy and utilizes t
Akademický článek
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Publikováno v:
Sustainability; Volume 15; Issue 4; Pages: 3365
Satellite-retrieved land surface phenology (LSP) is a first-order control on terrestrial ecosystem productivity, which is critical for monitoring the ecological environment and human and social sustainable development. However, mapping large-scale LS
Publikováno v:
Journal of Computer Science and Technology. 35:27-46
With the convergence of high-performance computing (HPC), big data and artificial intelligence (AI), the HPC community is pushing for “triple use” systems to expedite scientific discoveries. However, supporting these converged applications on HPC
Publikováno v:
Molecules, Vol 23, Iss 5, p 1028 (2018)
A prevailing way of extracting valuable information from biomedical literature is to apply text mining methods on unstructured texts. However, the massive amount of literature that needs to be analyzed poses a big data challenge to the processing eff
Externí odkaz:
https://doaj.org/article/accc3965f8cf4fb083d7e214432ce4aa
Publikováno v:
Molecules, Vol 22, Iss 12, p 2116 (2017)
Big data, cloud computing, and high-performance computing (HPC) are at the verge of convergence. Cloud computing is already playing an active part in big data processing with the help of big data frameworks like Hadoop and Spark. The recent upsurge o
Externí odkaz:
https://doaj.org/article/ede2fc194c284f0dbc7b0ed4182bfa9e
Autor:
Wenhao Zhou, Zhiyuan Wang, Yuhua Tang, Feihao Wu, Juan Chen, Enqiang Zhou, Chen Cui, Yong Dong
Publikováno v:
Frontiers of Computer Science. 13:1228-1242
Exascale computing is one of the major challenges of this decade, and several studies have shown that communications are becoming one of the bottlenecks for scaling parallel applications. The analysis on the characteristics of communications can effe
Autor:
Xiaoyu Zhang, Shunyun Yang, Wenhe Su, Xingming Zhao, Shaoliang Peng, Yingbo Cui, Tenglilang Zhang, Weiguo Liu
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16:425-433
Molecular Dynamics (MD) is the simulation of the dynamic behavior of atoms and molecules. As the most popular software for molecular dynamics, GROMACS cannot work on large-scale data because of limit computing resources. In this paper, we propose a C