Xiaomeng Huang
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- Xiaomeng Huang (40)
- Guangwen Yang (26)
- Haohuan Fu (14)
- Chuang Lin (6)
- Yongwei Wu (6)
- Songbin Liu (5)
- Fengyuan Ren (4)
- Weimin Zheng (4)
- Chuncong Xu (3)
- Huabin Ruan (3)
- Lin Gan (3)
- Peng Xu (3)
- Wei Xue (3)
- Yufang Ni (3)
- Jinlei Jiang (2)
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- Weimin Zheng (2)
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Journal/Magazine Names
- International Journal of Parallel Programming (2)
- The Journal of Supercomputing (2)
- ACM Transactions on Reconfigurable Technology and Systems (1)
- Cluster Computing (1)
- Computer Networks: The International Journal of Computer and Telecommunications Networking (1)
- IEEE Transactions on Fuzzy Systems (1)
- IEEE Transactions on Intelligent Transportation Systems (1)
- IEEE Transactions on Wireless Communications (1)
- IEEE/ACM Transactions on Networking (1)
- International Journal of High Performance Computing Applications (1)
- Journal of Computational Physics (1)
- Journal of Parallel and Distributed Computing (1)
Proceedings/Book Names
- GCC '08: Proceedings of the 2008 Seventh International Conference on Grid and Cooperative Computing (2)
- GCC '09: Proceedings of the 2009 Eighth International Conference on Grid and Cooperative Computing (2)
- SC '16: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (2)
- TRUSTCOM '13: Proceedings of the 2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (2)
- BIGDATACONGRESS '14: Proceedings of the 2014 IEEE International Congress on Big Data (1)
- CHINAGRID '09: Proceedings of the 2009 Fourth ChinaGrid Annual Conference (1)
- CHINAGRID '10: Proceedings of the The Fifth Annual ChinaGrid Conference (1)
- Euro-Par'13: Proceedings of the 19th international conference on Parallel Processing (1)
- FCCM '13: Proceedings of the 2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines (1)
- GCC '10: Proceedings of the 2010 Ninth International Conference on Grid and Cloud Computing (1)
- ICDCS '08: Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems (1)
- ICNDC '13: Proceedings of the 2013 Fourth International Conference on Networking and Distributed Computing (1)
- IPDPSW '12: Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum (1)
- IPDPSW '13: Proceedings of the 2013 IEEE 27th International Symposium on Parallel and Distributed Processing Workshops and PhD Forum (1)
- KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (1)
- NAS '13: Proceedings of the 2013 IEEE Eighth International Conference on Networking, Architecture and Storage (1)
- PCM'04: Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II (1)
- PDCAT '07: Proceedings of the Eighth International Conference on Parallel and Distributed Computing, Applications and Technologies (1)
- SC '15: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (1)
- TRUSTCOM '11: Proceedings of the 2011IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications (1)
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- research-articleOpen AccessPublished By ACMPublished By ACM
Neural Manifold Operators for Learning the Evolution of Physical Dynamics
- Hao Wu
Tencent TEG, Beijing, China
, - Kangyu Weng
Xingjian College, Tsinghua University, Beijing, China
, - Shuyi Zhou
Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China
, - Xiaomeng Huang
Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China
, - Wei Xiong
Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining•August 2024, pp 3356-3366• https://doi.org/10.1145/3637528.3671779Modeling the evolution of physical dynamics is a foundational problem in science and engineering, and it is regarded as the modeling of an operator mapping between infinite-dimensional functional spaces. Operator learning methods, learning the underlying ...
- 0Citation
- 164
- Downloads
MetricsTotal Citations0Total Downloads164Last 12 Months164Last 6 weeks164- 2
- Hao Wu
- research-article
Koopman neural operator as a mesh-free solver of non-linear partial differential equations
- Wei Xiong
Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, 100084, Beijing, China
, - Xiaomeng Huang
Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, 100084, Beijing, China
, - Ziyang Zhang
Markov Laboratory, Central Research Institute, 2012 Laboratories, Huawei Technologies Co. Ltd., China
, - Ruixuan Deng
Department of Statistics, University of Michigan, Ann Arbor, MI 48104, United States of America
, - Pei Sun
Laboratory of Computational Biology and Complex Systems, City University of Macau, 999078, Macau, China
Faculty of Health and Wellness, City University of Macau, 999078, Macau, China
, - Yang Tian
Laboratory of Computational Biology and Complex Systems, City University of Macau, 999078, Macau, China
Faculty of Health and Wellness, City University of Macau, 999078, Macau, China
Faculty of Data Science, City University of Macau, 999078, Macau, China
Journal of Computational Physics, Volume 513, Issue C•Sep 2024 • https://doi.org/10.1016/j.jcp.2024.113194AbstractThe lacking of analytic solutions of diverse partial differential equations (PDEs) gives birth to a series of computational techniques for numerical solutions. Although numerous latest advances are accomplished in developing neural operators, a ...
Highlights- We propose a new neural operator model for partial differential equation (PDE) solving and realize an effective linear prediction of non-linear dynamics via Koopman operator.
- Our approach achieves robust and accurate modeling of the ...
- 0Citation
MetricsTotal Citations0
- Wei Xiong
- research-article
Neighborhood Rough Residual Network–Based Outlier Detection Method in IoT-Enabled Maritime Transportation Systems
- Qiong Chen
Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China
, - Liangru Xie
Kingsoft Office Software, Jinshan Software Park, Zhuhai, China
, - Lirong Zeng
State Key Laboratory of Marine Resource Utilization in South China Sea and the School of Information and Communication Engineering, Hainan University, Haikou, China
, - Sining Jiang
Department of Information Science and Engineering, Ocean University of China, Qingdao, China
, - Weiping Ding
School of Information Science and Technology, Nantong University, Nantong, China
, - Xiaomeng Huang
Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China
, - Hao Wang
Department of Computer Science, Norwegian University of Science and Technology, Gjøvik, Norway
IEEE Transactions on Intelligent Transportation Systems, Volume 24, Issue 11•Nov. 2023, pp 11800-11811 • https://doi.org/10.1109/TITS.2023.3285615Outlier detection can identify anomalies in large-scale data. To provide reliability and security for Internet of Things (IoT)-enabled maritime transportation systems (MTSs), in this paper we propose an outlier detection method based on the neighborhood ...
- 0Citation
MetricsTotal Citations0
- Qiong Chen
- research-article
Generalized Interval Type-II Fuzzy Rough Model-Based Feature Discretization for Mixed Pixels
- Qiong Chen
Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China
, - Weiping Ding
School of Information Science and Technology, Nantong University, Nantong, China
, - Xiaomeng Huang
Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China
, - Hao Wang
School of Cyber Engineering, Xidian University, Xi'an, China
IEEE Transactions on Fuzzy Systems, Volume 31, Issue 3•March 2023, pp 845-859 • https://doi.org/10.1109/TFUZZ.2022.3190625Feature discretization algorithms of remote sensing images are often based on the assumption that a sample only belongs to a single category and cannot describe uncertainty caused by mixed pixels. Fuzzy rough models quantify uncertain information by ...
- 3Citation
MetricsTotal Citations3
- Qiong Chen
- research-article
eBA: Efficient Bandwidth Guarantee Under Traffic Variability in Datacenters
- Fangming Liu
Services Computing Technology and System Laboratory and the Cluster and Grid Computing Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
, - Jian Guo
Services Computing Technology and System Laboratory and the Cluster and Grid Computing Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
, - Xiaomeng Huang
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China
, - John C. S. Lui
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong
IEEE/ACM Transactions on Networking, Volume 25, Issue 1•February 2017, pp 506-519 • https://doi.org/10.1109/TNET.2016.2594295Datacenter networks suffer unpredictable performance due to a lack of application level bandwidth guarantees. A lot of attention has been drawn to solve this problem such as how to provide bandwidth guarantees for virtualized machines VMs, proportional ...
- 13Citation
- 99
- Downloads
MetricsTotal Citations13Total Downloads99Last 12 Months4
- Fangming Liu
- article
Czip: A Fast Lossless Compression Algorithm for Climate Data
- Xiaomeng Huang
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China 100084 and Joint Center for Global Change Studies, Beijing, China 100875
, - Yufang Ni
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China 100084 and Joint Center for Global Change Studies, Beijing, China 100875
, - Dexun Chen
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China 100084 and Joint Center for Global Change Studies, Beijing, China 100875
, - Songbin Liu
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China 100084 and Joint Center for Global Change Studies, Beijing, China 100875
, - Haohuan Fu
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China 100084 and Joint Center for Global Change Studies, Beijing, China 100875
, - Guangwen Yang
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China 100084 and Joint Center for Global Change Studies, Beijing, China 100875
International Journal of Parallel Programming, Volume 44, Issue 6•December 2016, pp 1248-1267 • https://doi.org/10.1007/s10766-016-0403-zClimate data have been dramatically increasing in volume in recent years. This huge volume of climate data poses considerable challenges for data storage, archiving and sharing. In this paper, we propose a lossless compression algorithm for climate data,...
- 1Citation
MetricsTotal Citations1
- Xiaomeng Huang
- research-article
Refactoring and optimizing the community atmosphere model (CAM) on the sunway taihulight supercomputer
- Haohuan Fu
Tsinghua University, Beijing, China and National Supercomputing Center in Wuxi, Wuxi, China
, - Junfeng Liao
Tsinghua University, Beijing, China and National Supercomputing Center in Wuxi, Wuxi, China
, - Wei Xue
Tsinghua University, Beijing, China and National Supercomputing Center in Wuxi, Wuxi, China
, - Lanning Wang
Beijing Normal University, Beijing, China
, - Dexun Chen
Tsinghua University, Beijing, China
, - Long Gu
National Research Center Of Parallel Computer Engineering and Technology, Beijing, China
, - Jinxiu Xu
National Research Center Of Parallel Computer Engineering and Technology, Beijing, China
, - Nan Ding
Tsinghua University, Beijing, China
, - Xinliang Wang
Tsinghua University, Beijing, China
, - Conghui He
Tsinghua University, Beijing, China and National Supercomputing Center in Wuxi, Wuxi, China
, - Shizhen Xu
Tsinghua University, Beijing, China
, - Yishuang Liang
Beijing Normal University, Beijing, China
, - Jiarui Fang
Tsinghua University, Beijing, China and National Supercomputing Center in Wuxi, Wuxi, China
, - Yuanchao Xu
Tsinghua University, Beijing, China
, - Weijie Zheng
Tsinghua University, Beijing, China and National Supercomputing Center in Wuxi, Wuxi, China
, - Jingheng Xu
Tsinghua University, Beijing, China and National Supercomputing Center in Wuxi, Wuxi, China
, - Zhen Zheng
Tsinghua University, Beijing, China
, - Wanjing Wei
Tsinghua University, Beijing, China and National Supercomputing Center in Wuxi, Wuxi, China
, - Xu Ji
Tsinghua University, Beijing, China
, - He Zhang
Tsinghua University, Beijing, China
, - Bingwei Chen
Tsinghua University, Beijing, China and National Supercomputing Center in Wuxi, Wuxi, China
, - Kaiwei Li
Tsinghua University, Beijing, China
, - Xiaomeng Huang
Tsinghua University, Beijing, China and National Supercomputing Center in Wuxi, Wuxi, China
, - Wenguang Chen
Tsinghua University, Beijing, China
, - Guangwen Yang
Tsinghua University, Beijing, China and National Supercomputing Center in Wuxi, Wuxi, China
SC '16: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis•November 2016, Article No.: 83, pp 1-12This paper reports our efforts on refactoring and optimizing the Community Atmosphere Model (CAM) on the Sunway TaihuLight supercomputer, which uses a many-core processor that consists of management processing elements (MPEs) and clusters of computing ...
- 2Citation
- 224
- Downloads
MetricsTotal Citations2Total Downloads224Last 12 Months4
- Haohuan Fu
- research-article
A highly effective global surface wave numerical simulation with ultra-high resolution
- Fangli Qiao
First Institute of Oceanography, State Oceanic Administration, Qingdao, P.R. China and Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao, P.R. China
, - Wei Zhao
First Institute of Oceanography, State Oceanic Administration, Qingdao, P.R. China and Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao, P.R. China
, - Xunqiang Yin
First Institute of Oceanography, State Oceanic Administration, Qingdao, P.R. China and Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao, P.R. China
, - Xiaomeng Huang
Tsinghua University, Beijing, P.R. China and Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao, P.R. China
, - Xin Liu
National Research Center of Parallel Computer Engineering and Technology, Wuxi P.R. China
, - Qi Shu
First Institute of Oceanography, State Oceanic Administration, Qingdao, P.R. China
, - Guansuo Wang
First Institute of Oceanography, State Oceanic Administration, Qingdao, P.R. China and Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao, P.R. China
, - Zhenya Song
First Institute of Oceanography, State Oceanic Administration, Qingdao, P.R. China and Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao, P.R. China
, - Xinfang Li
First Institute of Oceanography, State Oceanic Administration, Qingdao, P.R. China
, - Haixing Liu
First Institute of Oceanography, State Oceanic Administration, Qingdao, P.R. China and Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao, P.R. China
, - Guangwen Yang
Tsinghua University, Beijing, P.R. China and National Supercomputing Center in Wuxi, Wuxi, P.R. China
, - Yeli Yuan
First Institute of Oceanography, State Oceanic Administration, Qingdao, P.R. China
SC '16: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis•November 2016, Article No.: 5, pp 1-11Surface wave is the most energetic form of motions in the ocean and is crucially important to navigation safety and climate change. High-resolution global wave model plays a key role in accurate surface wave forecasting. However, operational forecasting ...
- 5Citation
- 240
- Downloads
MetricsTotal Citations5Total Downloads240Last 12 Months4Last 6 weeks1
- Fangli Qiao
- research-articlePublic AccessPublished By ACMPublished By ACM
Improving the scalability of the ocean barotropic solver in the community earth system model
- Yong Hu
Tsinghua University, Beijing, China
, - Xiaomeng Huang
Tsinghua University, Beijing, China
, - Allison H. Baker
National Center for Atmospheric Research, Boulder, CO
, - Yu-heng Tseng
National Center for Atmospheric Research, Boulder, CO
, - Frank O. Bryan
National Center for Atmospheric Research, Boulder, CO
, - John M. Dennis
National Center for Atmospheric Research, Boulder, CO
, - Guangwen Yang
Tsinghua University, Beijing, China
SC '15: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis•November 2015, Article No.: 42, pp 1-12• https://doi.org/10.1145/2807591.2807596High-resolution climate simulations are increasingly in demand and require tremendous computing resources. In the Community Earth SystemModel (CESM), the Parallel Ocean Model (POP) is computationally expensive for high-resolution grids (e.g., 0.1°) and ...
- 14Citation
- 544
- Downloads
MetricsTotal Citations14Total Downloads544Last 12 Months93Last 6 weeks10
- Yong Hu
- article
Data Reduction Analysis for Climate Data Sets
- Songbin Liu
Ministry of Education Key Laboratory for Earth System Modeling, and Center for Earth System Science, Tsinghua University, Beijing, China 100084
, - Xiaomeng Huang
Ministry of Education Key Laboratory for Earth System Modeling, and Center for Earth System Science, Tsinghua University, Beijing, China 100084
, - Haohuan Fu
Ministry of Education Key Laboratory for Earth System Modeling, and Center for Earth System Science, Tsinghua University, Beijing, China 100084
, - Guangwen Yang
Ministry of Education Key Laboratory for Earth System Modeling, and Center for Earth System Science, Tsinghua University, Beijing, China 100084
, - Zhenya Song
The First Institute of Oceanography, Qingdao, China 266061
International Journal of Parallel Programming, Volume 43, Issue 3•June 2015, pp 508-527 • https://doi.org/10.1007/s10766-013-0287-0Global climate modeling not only requires computation capabilities, but also brings tough challenges for data storage systems. The input and output data sets generally require hundreds or even thousands of terabytes storage. Therefore, storage reduction ...
- 0Citation
MetricsTotal Citations0
- Songbin Liu
- research-articlePublished By ACMPublished By ACM
Solving the Global Atmospheric Equations through Heterogeneous Reconfigurable Platforms
- Lin Gan
Meng Minwei Science, Tsinghua University, Beijing, China
, - Haohuan Fu
Meng Minwei Science, Tsinghua University, Beijing, China
, - Wayne Luk
Department of Computing, Imperial College London, London
, - Chao Yang
Institute of Software, Chinese Academy of Sciences, Beijing, China
, - Wei Xue
Meng Minwei Science, Tsinghua University, Beijing, China
, - Xiaomeng Huang
Meng Minwei Science, Tsinghua University, Beijing, China
, - Youhui Zhang
East Main Building, Tsinghua University, Beijing, China
, - Guangwen Yang
Meng Minwei Science, Tsinghua University, Beijing, China
ACM Transactions on Reconfigurable Technology and Systems, Volume 8, Issue 2•April 2015, Article No.: 11, pp 1-16 • https://doi.org/10.1145/2629581One of the most essential and challenging components in climate modeling is the atmospheric model. To solve multiphysical atmospheric equations, developers have to face extremely complex stencil kernels that are costly in terms of both computing and ...
- 13Citation
- 232
- Downloads
MetricsTotal Citations13Total Downloads232Last 12 Months4Last 6 weeks1
- Lin Gan
- Article
A High Performance Compression Method for Climate Data
ISPA '14: Proceedings of the 2014 IEEE International Symposium on Parallel and Distributed Processing with Applications•August 2014, pp 68-77• https://doi.org/10.1109/ISPA.2014.18Climate modeling data are usually multidimen-sional arrays of floating-point numbers. These arrays typically have two or three spatial dimensions and one temporal dimension, describing the evolvement of climate variables in a time span. With the ...
- 1Citation
MetricsTotal Citations1
- research-article
Evaluating multi-core and many-core architectures through accelerating the three-dimensional Lax-Wendroff correction stencil
- Yang You
Department of Computer Science and Technology, Tsinghua University, China
, - Haohuan Fu
Department of Computer Science and Technology, Tsinghua University, China, Ministry of Education Key Laboratory for Earth System Modeling, Tsinghua University, China
, - Shuaiwen Leon Song
Pacific Northwest National Laboratory, USA
, - Maryam Mehri Dehnavi
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA
, - Lin Gan
Department of Computer Science and Technology, Tsinghua University, China, Ministry of Education Key Laboratory for Earth System Modeling, Tsinghua University, China
, - Xiaomeng Huang
Department of Computer Science and Technology, Tsinghua University, China, Ministry of Education Key Laboratory for Earth System Modeling, Tsinghua University, China
, - Guangwen Yang
Department of Computer Science and Technology, Tsinghua University, China, Ministry of Education Key Laboratory for Earth System Modeling, Tsinghua University, China
International Journal of High Performance Computing Applications, Volume 28, Issue 3•August 2014, pp 301-318 • https://doi.org/10.1177/1094342014524807Wave propagation forward modeling is a widely used computational method in oil and gas exploration. The iterative stencil loops in such problems have broad applications in scientific computing. However, executing such loops can be highly time-consuming, ...
- 1Citation
MetricsTotal Citations1
- Yang You
- Article
Adaptive Indexing for Distributed Array Processing
BIGDATACONGRESS '14: Proceedings of the 2014 IEEE International Congress on Big Data•June 2014, pp 331-338• https://doi.org/10.1109/BigData.Congress.2014.55Scientists are facing the data deluge in the scientific explorations. Big data are collected by the scientific instruments and experiments. The data are usually multidimensional arrays and stored in many files. Distributed computing techniques such as ...
- 0Citation
MetricsTotal Citations0
- Article
A Versatile Compression Method for Floating-Point Data Stream
ICNDC '13: Proceedings of the 2013 Fourth International Conference on Networking and Distributed Computing•December 2013, pp 141-145• https://doi.org/10.1109/ICNDC.2013.32With the rapid advances in supercomputing and numerical simulations, the output data of scientific computing is expanding rapidly, bringing tough challenges for data sharing and data archiving. Data compression can mitigate these challenges by reducing ...
- 0Citation
MetricsTotal Citations0
- Article
A scalable barotropic mode solver for the parallel ocean program
- Yong Hu
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China,Tsinghua National Laboratory for Information Science and Technology (TNList), China
, - Xiaomeng Huang
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China
, - Xiaoge Wang
Tsinghua National Laboratory for Information Science and Technology (TNList), China
, - Haohuan Fu
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China
, - Shizhen Xu
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China,Tsinghua National Laboratory for Information Science and Technology (TNList), China
, - Huabin Ruan
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China,Tsinghua National Laboratory for Information Science and Technology (TNList), China
, - Wei Xue
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China,Tsinghua National Laboratory for Information Science and Technology (TNList), China
, - Guangwen Yang
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China,Tsinghua National Laboratory for Information Science and Technology (TNList), China
Euro-Par'13: Proceedings of the 19th international conference on Parallel Processing•August 2013, pp 739-750• https://doi.org/10.1007/978-3-642-40047-6_74This paper represents a novel strategy to improve the scalability of the barotropic mode in the Parallel Ocean Program (POP), by theoretically analyzing the barotropic communications bottleneck. POP discretizes the elliptic equations of the barotropic ...
- 1Citation
MetricsTotal Citations1
- Yong Hu
- Article
Optimize Multidimensional Arrays Queries with Heterogeneous Replica Method
NAS '13: Proceedings of the 2013 IEEE Eighth International Conference on Networking, Architecture and Storage•July 2013, pp 272-276• https://doi.org/10.1109/NAS.2013.43Multidimensional arrays are commonly used in scientific and engineering applications. The disk layout for the multidimensional arrays will obviously affect the performance of data querying. Homogeneous Replica method are widely used to maintain the data ...
- 0Citation
MetricsTotal Citations0
- Article
CFIO: A Fast I/O Library for Climate Models
TRUSTCOM '13: Proceedings of the 2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications•July 2013, pp 911-918• https://doi.org/10.1109/TrustCom.2013.111How to improve I/O performance is a significant challenge for modern scientific applications. In this paper, we present Climate Fast I/O (CFIO), a parallel I/O library that is specifically developed for climate models. To minimize the required code ...
- 1Citation
MetricsTotal Citations1
- Article
SciHive: Array-Based Query Processing with HiveQL
TRUSTCOM '13: Proceedings of the 2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications•July 2013, pp 887-894• https://doi.org/10.1109/TrustCom.2013.108The data-intensive scientific discoveries are generating huge amounts of data at an alarming rate. Most of the data are multidimensional and stored in array-based file formats. The processing of such big data becomes an urgent challenge. In this paper, ...
- 1Citation
MetricsTotal Citations1
- Article
Accelerating the 3D Elastic Wave Forward Modeling on GPU and MIC
IPDPSW '13: Proceedings of the 2013 IEEE 27th International Symposium on Parallel and Distributed Processing Workshops and PhD Forum•May 2013, pp 1088-1096• https://doi.org/10.1109/IPDPSW.2013.216The forward modeling of wave propagation is a widely-used computational method in oil and gas exploration. Its iterative stencil loops also have broad applications in scientific computing. However, the time-consuming iterative stencil loops greatly ...
- 1Citation
MetricsTotal Citations1
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A direct search interface for Author Profiles will be built.
An institutional view of works emerging from their faculty and researchers will be provided along with a relevant set of metrics.
It is possible, too, that the Author Profile page may evolve to allow interested authors to upload unpublished professional materials to an area available for search and free educational use, but distinct from the ACM Digital Library proper. It is hard to predict what shape such an area for user-generated content may take, but it carries interesting potential for input from the community.
Bibliometrics
The ACM DL is a comprehensive repository of publications from the entire field of computing.
It is ACM's intention to make the derivation of any publication statistics it generates clear to the user.
- Average citations per article = The total Citation Count divided by the total Publication Count.
- Citation Count = cumulative total number of times all authored works by this author were cited by other works within ACM's bibliographic database. Almost all reference lists in articles published by ACM have been captured. References lists from other publishers are less well-represented in the database. Unresolved references are not included in the Citation Count. The Citation Count is citations TO any type of work, but the references counted are only FROM journal and proceedings articles. Reference lists from books, dissertations, and technical reports have not generally been captured in the database. (Citation Counts for individual works are displayed with the individual record listed on the Author Page.)
- Publication Count = all works of any genre within the universe of ACM's bibliographic database of computing literature of which this person was an author. Works where the person has role as editor, advisor, chair, etc. are listed on the page but are not part of the Publication Count.
- Publication Years = the span from the earliest year of publication on a work by this author to the most recent year of publication of a work by this author captured within the ACM bibliographic database of computing literature (The ACM Guide to Computing Literature, also known as "the Guide".
- Available for download = the total number of works by this author whose full texts may be downloaded from an ACM full-text article server. Downloads from external full-text sources linked to from within the ACM bibliographic space are not counted as 'available for download'.
- Average downloads per article = The total number of cumulative downloads divided by the number of articles (including multimedia objects) available for download from ACM's servers.
- Downloads (cumulative) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server since the downloads were first counted in May 2003. The counts displayed are updated monthly and are therefore 0-31 days behind the current date. Robotic activity is scrubbed from the download statistics.
- Downloads (12 months) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 12-month period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (12-month download counts for individual works are displayed with the individual record.)
- Downloads (6 weeks) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 6-week period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (6-week download counts for individual works are displayed with the individual record.)
ACM Author-Izer Service
Summary Description
ACM Author-Izer is a unique service that enables ACM authors to generate and post links on both their homepage and institutional repository for visitors to download the definitive version of their articles from the ACM Digital Library at no charge.
Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to definitive version of ACM articles should reduce user confusion over article versioning.
ACM Author-Izer also extends ACM’s reputation as an innovative “Green Path” publisher, making ACM one of the first publishers of scholarly works to offer this model to its authors.
To access ACM Author-Izer, authors need to establish a free ACM web account. Should authors change institutions or sites, they can utilize the new ACM service to disable old links and re-authorize new links for free downloads from a different site.
How ACM Author-Izer Works
Authors may post ACM Author-Izer links in their own bibliographies maintained on their website and their own institution’s repository. The links take visitors to your page directly to the definitive version of individual articles inside the ACM Digital Library to download these articles for free.
The Service can be applied to all the articles you have ever published with ACM.
Depending on your previous activities within the ACM DL, you may need to take up to three steps to use ACM Author-Izer.
For authors who do not have a free ACM Web Account:
- Go to the ACM DL http://dl.acm.org/ and click SIGN UP. Once your account is established, proceed to next step.
For authors who have an ACM web account, but have not edited their ACM Author Profile page:
- Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.
For authors who have an account and have already edited their Profile Page:
- Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"
ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.
Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.
FAQ
- Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
- Q. What articles are eligible for ACM Author-Izer?
- A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.
- Q. Are there any restrictions on authors to use this service?
- A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.
- Q. What are the requirements to use this service?
- A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.
- Q. What is an ACM Author Profile Page?
- A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.
- Q. How do I find my Author Profile page and take ownership?
- A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours
- Q. Why does my photo not appear?
- A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters
- Q. What if I cannot find the Add Personal Information function on my author page?
- A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.
- Q. What happens if an author changes the location of his bibliography or moves to a new institution?
- A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.
- Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
- A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.
However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.
- Q. What happens if the author’s bibliography lives on a page with several aliases?
- A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.
- Q. Why should authors use ACM Author-Izer?
- A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.
- Q. Does ACM Author-Izer provide benefits for authors?
- A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.
Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.
- Q. How does ACM Author-Izer benefit the computing community?
- A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.
In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.
- Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
- A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.
- Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
- A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner