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13th International Conference on Interfaces and Human Computer Interaction 2019, IHCI 2019, 12th International Conference on Game and Entertainment Technologies 2019, GET 2019 and 13th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing 2019, CGVCVIP 2019

作者： Cao, Yi Mo, Zeyao Ai, Zhiwei Wang, Huawei Xiao, Li High Performance Computing Center Institute of Applied Physics and Computational Mathematics Beijing China

ISBN: (纸本)9789898533913

Following the recent rapid growth in supercomputer performance, many real-world problems in fields such as climate change and weather forecasting, nuclear energy, and electromagnetic environments can be solved via multiphysics simulation. However, current multifield visualization has difficulty handling multiphysics parallel simulation data. First, it is difficult to correctly visualize overlapping multifield data with semitransparent properties because of the complex distribution of partitioned data domains across multicore processors. Second, the interactive visualization performance of large-scale multifield data in serial processing mode on a personal computer is often slow because multiphysics simulations can produce large-scale data sets, i.e., of the order of gigabytes to terabytes. This paper introduces a hybrid scheduling framework for parallel visualization of computational multifield data, which is used to overcome problems both in correct visual representation and in efficient visualization of large-scale computational multifield data. The proposed framework supports scalable in situ visualization of 8.5 billion mesh cells on the 10 k cores of China's TianHe-2 supercomputer, which could help domain scientists understand multiphysics phenomena more clearly and with greater accuracy. © Copyright 2019 IADIS Press. All rights reserved.

关键词： Multiphysics

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An experimental and simulation study on deep hole gundrilling of inconel-718 13

An experimental and simulation study on deep hole gundrillin...

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13th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2013

作者： Woon, K.S. Wan, S. Tnay, G.L. Singapore Institute of Manufacturing Technology Singapore Singapore Institute of High Performance Computing Singapore Singapore

ISBN: (纸本)9780956679024

This novel study revealed a critical design flaw in conventional gundrilling which prevents effective cooling and lubrication of the carbide drill tips during high aspect ratio drilling of Inconel-718. Gun drills from four international test sites were found to degrade rapidly and fail catastrophically during the process through a cyclical thermo-mechanical fatigue mechanism following intense accumulation of heat on the drill tip that leads to severe adhesion, thermal softening and diffusion. A 3D computational fluid dynamics (CFD) model with full conjugate heat transfer capabilities was developed to investigate the flow behaviour of high pressure coolant and its effects on heat transfer characteristics during the drilling process. To this end, a new deep hole drilling solution for Inconel-718 is under development based on this analysis.

关键词： Computational fluid dynamics

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An adaptive sampling based parallel volume rendering algorithm

An adaptive sampling based parallel volume rendering algorit...

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2011 International Conference on Virtual Reality and Visualization, ICVRV 2011

作者： Wang, Huawei Xiao, Li Cao, Yi High Performance Computing Center Institute of Applied Physics and Computational Mathematics Beijing China

ISBN: (纸本)9780769546025

In this paper, a parallel ray-casting volume rendering algorithm based on adaptive sampling is presented for visualizing TB-scale time-varying scientific data. The algorithm samples a data field adaptively according to its inner variation, and thus sets sampling points only in important positions. In order to integrate adaptive sampling into the parallel rendering framework, an efficient method is proposed to handle the resulting unstructured sampling data. The experiments demonstrate that the proposed algorithm can be used to effectively render inner data features in high quality. © 2011 IEEE.

关键词： Volume rendering

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Efficient coupling of parallel visualization and simulations on tens of thousands of cores

Efficient coupling of parallel visualization and simulations...

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2011 International Conference on Virtual Reality and Visualization, ICVRV 2011

作者： Xiao, Li Cao, Xiaolin Cao, Yi Ai, Zhiwei Xu, Pingjun High Performance Computing Center Institute of Applied Physics and Computational Mathematics Beijing China

ISBN: (纸本)9780769546025

The scale of some datasets generated by simulations on tens of thousands of cores are gigabyte or larger per output step. It is imperative that efficient coupling of these simulations and parallel visualization. Therefore, a patch-based parallel I/O strategy has been designed and implemented in JASMIN. These programs reconstructed or developed on JASMIN can write plotting data in many files. These datasets in files can be read directly by Visit software with low I/O overheads. Finally, four large-scale datasets generated have been visualized efficiently on 72 cores by using Visit software. These make it possible to analyze and understand these datasets in a timely fashion. © 2011 IEEE.

关键词： Visualization

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Developing three-dimensional CFD city model based on public accessible information for green mark building ventilation assessment 9

Developing three-dimensional CFD city model based on public ...

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9th Asia Pacific Conference on Wind Engineering, APCWE 2017

作者： Miao, H. Raghavan, V. Gopalan, H. Kang, C. Lou, J. Institute of High Performance Computing Agency for Science Technology and Research Singapore108632 Singapore

In this paper, we describe the methodology to develop a three-dimensional city model based on public accessible online information. Detailed procedures on how to develop such model for computational fluid dynamics (CFD) simulation by using online maps, public accessible building information and online multimedia data will be reported. The city model developed in this study covers a typical residential area with HDB buildings, hawker centres as well as gas stations, making it suitable for green mark building assessment study, pollutant dispersion as well as thermal comfort investigation. It can predict the street-level wind climate with a resolution of meters. We then conduct a parametric study by changing the radius of the surrounding buildings that are included in the simulation. The wind patterns around the building of interest are analysed and compared to understand how many surrounding buildings should be included to obtain a representative ‘real’ wind profile. Furthermore, different designs of the building of interest are studied to improve ventilation. We are also working on the development of transportation emission models to obtain a better understanding on emission distribution at pedestrian level or outdoor dining place in the residential area. © 9th Asia Pacific Conference on Wind Engineering, APCWE 2017. All Rights Reserved.

关键词： Housing

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A smart compression scheme for GPU-accelerated volume rendering of time-varying data

A smart compression scheme for GPU-accelerated volume render...

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2011 International Conference on Virtual Reality and Visualization, ICVRV 2011

作者： Cao, Yi Wu, Guoqing Wang, Huawei High Performance Computing Center Institute of Applied Physics and Computational Mathematics Beijing China

ISBN: (纸本)9780769546025

The visualization of large-scale time-varying data can provide scientists a more in-depth understanding of the inherent physical phenomena behind the massive data. However, because of non-uniform data access speed and memory capacity bottlenecks, the interactive rendering ability for large-scale time-varying data is still a major challenge. Data compression can alleviate these two bottlenecks. But just simply applying the data compression strategy to the visualization pipeline, the interaction problem can not be effectively solved because a lot of redundant data still existed in volume data. In this paper, a smart compression scheme based on the information theory is present to accelerate large-scale time-varying volume rendering. A formula of entropy was proposed, which can be used to automatically calculate the data importance to help scientists analyze and extract feature from the massive data. Then lossy data compression and data transfer is directly operated on these feature data, the remaining non-critical data was discarded in the process, and GPU ray-casting volume render is used for fast rendering. The experiment results shown that our smart compression scheme can reduce the amount of data as much as possible while maintaining the characteristics of the data, and therefore greatly improved the time-varying volume rendering speed even when dealing with the large scale time-varying data. © 2011 IEEE.

关键词： Visualization

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Theoretical investigation of metal-molecule interface with terminal group

Theoretical investigation of metal-molecule interface with t...

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2004 4th IEEE Conference on Nanotechnology

作者： Bai, Ping Li, Erping Yang, Shuowang Collier, Peter A. Institute of High Performance Computing Singapore 117528 Singapore Institute of Manufacturing Technology Singapore 638075

ISBN: (纸本)0780385365

We studied the metal/molecule interface linkage effects though metal-molecule-metal systems by first principles method, which is based on the density functional theory (DFT) with norm conserving nonlocal pseudopotentials and nonequilibrium Green's functions (NEGF's) to calculate the charge distribution for open metal-molecule-metal systems. Metal electrodes were described through 3-D atomic model instead of a non-atomic (like Jellium model) description of the electrodes. Several open systems were constructed, optimized and simulated. Sulphur atom (S) and cyano-group (CN) were employed to connect electrodes Au and molecule borazine. The current-voltage (I-V) characteristics, density of states (DOS), and the transmission function (TF) of constructed systems were investigated. Results show that transmission properties of the systems are affected a lot by the terminal group. The highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO) are shifted and the magnitudes of TF are changed. Simulated I-V characteristics show that the system with terminal group CN presents better conductance. © 2004 IEEE.

关键词： Nanotechnology

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A survey of cloud resource management for complex engineering applications

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Frontiers of Computer Science 2016年第3期10卷 447-461页

作者： Haibao CHEN Song WU Hai JIN Wenguang CHEN Jidong ZHAI Yingwei LUO Xiaolin WANG Services Computing Technology and System Lab Cluster and Grid Computing LabSchool of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China Institute of High Performance Computing Tsinghua University Beijing 100084 China School of Electronics Engineering and Computer Science Peking University Beijing 100871 China School of Computer and Information Engineering Chuzhou University Chuzhou 239000 China

Traditionally, complex engineering applications （CEAs）, which consist of numerous components （software） and require a large amount of computing resources, usu- ally run in dedicated clusters or high performance computing （HPC） centers. Nowadays, Cloud computing system with the ability of providing massive computing resources and cus- tomizable execution environment is becoming an attractive option for CEAs. As a new type on Cloud applications, CEA also brings the challenges of dealing with Cloud resources. In this paper, we provide a comprehensive survey of Cloud resource management research for CEAs. The survey puts forward two important questions： 1） what are the main chal- lenges for CEAs to run in Clouds？ and 2） what are the prior research topics addressing these challenges？ We summarize and highlight the main challenges and prior research topics. Our work can be probably helpful to those scientists and en- gineers who are interested in running CEAs in Cloud envi- ronment.

关键词： Cloud computing complex engineering application resource management virtualization

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A CFD study for multi-directional focused extreme wave

A CFD study for multi-directional focused extreme wave

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24th International Ocean and Polar Engineering Conference, ISOPE 2014 Busan

作者： Kumar, Pankaj Lu, Xin Wu, Yanling Institute of High Performance Computing Singapore Lloyds Register Global Technology Centre Singapore

ISBN: (纸本)9781880653913

The problem of wave-in-deck loading involves very complex physics and demands intensive study. In the Computational Fluid Mechanics (CFD) approach, two critical issues must be addressed, namely the efficient, realistic numerical wave maker and the accurate free surface capturing methodology. Most reported CFD research on wave-in-deck loads consider regular waves only, for instance the Stokes 5th-order waves. They are, however, recognized by designers as approximate approaches since "real world" sea states consist of random irregular waves. In our work, we report a recently developed focused extreme wave maker based on the 3D spreading focused NewWave theory. This model can better approximate the "real world" conditions, and is more efficient than conventional random wave makers. It is able to efficiently generate targeted focused waves at a prescribed time and location. The work is implemented and integrated with OpenFOAM, an open source platform that receives more and more attention in a wide range of industrial applications. The free surface capturing is achieved by an improved, extensively validated Volume of Fluid (VOF) method. Copyright © 2014 by the International Society of Offshore and Polar Engineers (ISOPE).

关键词： Computation theory

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A Latent Entity-Document Class Mixture of Experts Model for Cumulative Citation Recommendation

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Tsinghua Science and technology 2018年第6期23卷 660-670页

作者： Lerong Ma Lejian Liao DANDan Song Jingang Wang Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications Beijing Institute of Technology College of Mathematics and Computer Science Yan'an University

Knowledge Bases （KBs） are valuable resources of human knowledge which contribute to many applications. However, since they are manually maintained, there is a big lag between their contents and the upto-date information of entities. Considering a target entity in KBs, this paper investigates how Cumulative Citation Recommendation （CCR） can be used to effectively detect its worthy-citation documents in large volumes of stream data. Most global relevant models only consider semantic and temporat features of entity-document instances, which does not sufficiently exploit prior knowledge underlying entity-document instances. To tackle this problem, we present a Mixture of Experts （ME） model by introducing a latent layer to capture relationships between the entity-document instances and their latent class information. An extensive set of experiments was conducted on TREC-KBA-2013 dataset. The results show that the model can significantly achieve a better performance gain compared to state-of-the-art models in CCR.

关键词： knowledge base acceleration cumulative citation recommendation Mixture of Experts (ME) LatentEntity-Document Classes (LEDCs)

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