Skip to main content

previous disabled Page of 2
and
  1. No Access

    Chapter and Conference Paper

    Sparse Reconstruction Method for Flow Fields Based on Mode Decomposition Autoencoder

    The accurate reconstruction of global flow fields from sparse measurements has been a longstanding challenge in which the quantity and positioning of measurements play a critical role. To address this issue, w...

    Jiyan Qiu, Wu Yuan, **aoyi Hu, Jian Zhang in PRICAI 2023: Trends in Artificial Intellig… (2024)

  2. No Access

    Article

    LICOM3-CUDA: a GPU version of LASG/IAP climate system ocean model version 3 based on CUDA

    The ocean general circulation model (OGCM) is an essential tool for researching oceanography and atmospheric science. The LASG/IAP climate system ocean model version 3 (LICOM3) is a parallel version of the OGC...

    Junlin Wei, **rong Jiang, Hailong Liu, Feng Zhang in The Journal of Supercomputing (2023)

  3. No Access

    Chapter and Conference Paper

    A Sparse Matrix Optimization Method for Graph Neural Networks Training

    Graph neural networks (GNN) have shown great application potential in scientific research applications, biomedicine, and other fields, which exhibit superior feature representation capabilities for graph data ...

    Tiechui Yao, Jue Wang, Junyu Gu, Yumeng Shi in Knowledge Science, Engineering and Managem… (2023)

  4. No Access

    Chapter and Conference Paper

    A Multi-level Attention-Based LSTM Network for Ultra-short-term Solar Power Forecast Using Meteorological Knowledge

    Deep learning has been widely applied to modeling, prediction, control, and optimization in smart energy systems, especially in solar energy. Accurate forecasting of photovoltaic (PV) power is essential for po...

    Tiechui Yao, Jue Wang, Haizhou Cao, Fang Liu in Knowledge Science, Engineering and Managem… (2022)

  5. No Access

    Chapter

    The Ecology of High-Performance Computing

    High performance computing (HPC) embodies a country’s comprehensive strength in science and technology, which is an important part of the national innovation system, and is also the strategic commanding point ...

    Xuebin Chi in China’s e-Science Blue Book 2020 (2021)

  6. No Access

    Article

    VASEM: visual analytics system for electron microscopy data bank

    Electron Microscopy Data Bank (EMDB) provides biological researchers with a platform for uploading and downloading data obtained mainly by electron microscopy. With the continuous expansion of the total amount...

    Jun Liu, Yang Gao, Guihua Shan, Xuebin Chi in Journal of Visualization (2019)

  7. No Access

    Article

    An efficient parallel algorithm for the coupling of global climate models and regional climate models on a large-scale multi-core cluster

    High-performance computing for climate models has always been an interesting research area. It is valuable to nest a regional climate model within a global climate model, but large-scale simulation of the nest...

    Yuzhu Wang, **rong Jiang, Junqiang Zhang, Juanxiong He in The Journal of Supercomputing (2018)

  8. No Access

    Article

    Interactive visual exploration of halos in large-scale cosmology simulation

    Halo is one of the most important basic elements in cosmology simulation, which merges from small clumps to ever larger objects. The processes of halos’ birth and merging play a fundamental role in studying th...

    Guihua Shan, Mao** **e, Feng’An Li, Yang Gao, Xuebin Chi in Journal of Visualization (2014)

  9. Article

    Open Access

    HSA: A Heuristic Splice Alignment Tool

    RNA-Seq methodology is a revolutionary transcriptomics sequencing technology, which is the representative of Next generation Sequencing (NGS). With the high throughput sequencing of RNA-Seq, we can acquire muc...

    **gde Bu, Xuebin Chi, Zhong ** in BMC Systems Biology (2013)

  10. No Access

    Book

  11. No Access

    Chapter

    Accelerating 2-Dimensional CFD on Multi-GPU Supercomputer

    In this paper, we describe the domain decomposing strategy of finite-difference to implement and optimize GPU codes in solving 2-D N-S equations. To satisfy GPU architecture, our algorithms emphasize on the de...

    Sen Li, **nliang Li, Long Wang, Zhonghua Lu in GPU Solutions to Multi-scale Problems in S… (2013)

  12. No Access

    Chapter

    Implementations of Main Algorithms for Generalized Symmetric Eigenproblem on GPU Accelerator

    To solve a generalized eigensystem problem, we firstly need to transform the generalized eigenproblem to a standard eigenproblem, and then reduce a matrix to tridiagonal form. These are based on both blocked C...

    Yonghua Zhao, Fang Liu, Yangang Wang in GPU Solutions to Multi-scale Problems in S… (2013)

  13. No Access

    Chapter

    GPU Tuning for First-Principle Electronic Structure Simulations

    With increasing demands on hardware in quantum chemistry calculations, modern Graphical Processing Units (GPUs) have great potential meeting the resources of high performance computing. In this paper we invest...

    Yue Wu, Weile Jia, Lin-Wang Wang, Weiguo Gao in GPU Solutions to Multi-scale Problems in S… (2013)

  14. No Access

    Chapter and Conference Paper

    Implementations of Main Algorithms for Generalized Eigenproblem on GPU Accelerator

    A generalized eigensystem problem is usually transformed, utilizing Cholesky decomposition, to a standard eigenproblem. The latter is then solved efficiently by a matrix reduction approach based on Householder...

    Yonghua Zhao, Jian Zhang, Xuebin Chi in Advances in Swarm Intelligence (2012)

  15. No Access

    Chapter and Conference Paper

    An Integrated and Grid Based Solution of Chemical Applications

    Different chemical applications only apply to unique fields such as molecular dynamics, mechanics and visualization. Accordingly, the need for integrating multiple applications into a uniform system raises. As...

    Qizhi Duan, Zhong **, Qian Liu, Xuebin Chi in Information Computing and Applications (2010)

  16. No Access

    Chapter and Conference Paper

    SCE: Grid Environment for Scientific Computing

    Over the last few years Grid computing has evolved into an innovating technology and gotten increased commercial adoption. However, existing Grids do not have enough users as for sustainable development in the...

    Haili **ao, Hong Wu, Xuebin Chi in Networks for Grid Applications (2009)

  17. No Access

    Article

    Fast Computing for LURR of Earthquake Prediction

    The LURR theory is a new approach for earthquake prediction, which achieves good results in earthquake prediction within the China mainland and regions in America, Japan and Australia. However, the expansion o...

    Yangde Feng, Xuebin Chi, Wu Wang, Jiang Chen, **angchu Yin in Pure and Applied Geophysics (2008)

  18. No Access

    Article

    The research progress of tiling array technology and applications

    Tiling array technology was improved from microarray technology. Over the past five years, tiling array has become an important tool for gathering genome information. Its features of high density and high thro...

    **anYu Lang, Jun Wang, XueBin Chi in Chinese Science Bulletin (2008)

  19. No Access

    Article

    GridMol: a grid application for molecular modeling and visualization

    In this paper we present GridMol, an extensible tool for building a high performance computational chemistry platform in the grid environment. GridMol provides computational chemists one-stop service for molec...

    Yanhua Sun, Bin Shen, Zhonghua Lu, Zhong ** in Journal of Computer-Aided Molecular Design (2008)

  20. No Access

    Chapter

    Fast Computing for LURR of Earthquake Prediction

    The LURR theory is a new approach for earthquake prediction, which achieves good results in earthquake prediction within the China mainland and regions in America, Japan and Australia. However, the expansion o...

    Yangde Feng, Xuebin Chi, Wu Wang, Jiang Chen in Earthquakes: Simulations, Sources and Tsun (2008)

previous disabled Page of 2