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ASME 1999 International Mechanical engineering Congress and Exposition, IMECE 1999

作者： Wong, K.L. Baker, A.J. Joint Institute for Computational Science University of Tennessee KnoxvilleTN37996 United States Engineering Science Program University of Tennessee KnoxvilleTN37996 United States

ISBN: (纸本)9780791816615

With the rapid advances in high-performance computing technology in recent years, researchers at the University of Tennessee have initiated a collaborative project to address the theoretical, algorithmic, and numerical implementation issues of computational mechanics simulations. To meet the challenge, a Parallel Interoperable computational Mechanics Simulator System (PICMSS) has been estabhshed. Such effort entails the development of a modular finite element platform capable of admitting diverse CFD formulations, as well as closure models for physics phenomena, as required/derived by the users operating on supercomputers and networks of PC clusters. Incompressible Navier Stokes Benchmark solutions via a velocity-vorticity formulation are proposed to examine the integrity emd scalability of PICMSS. © 1999 ASME International Mechanical engineering Congress and Exposition, Proceedings (IMECE). All Rights Reserved.

关键词： Navier Stokes equations

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Contributory presentations/posters

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Journal of Biosciences 1999年第1期24卷 33-198页

作者： N. Manoj V. R. Srinivas A. Surolia M. Vijayan K. Suguna R. Ravishankar R. Schwarzenbacher K. Zeth Diederichs G. M. Kostner A. Gries P. Laggner R. Prassl Madhusudan Pearl Akamine Nguyen-huu Xuong Susan S. Taylor M. Bidva Sagar K. Saikrishnan S. Roy K. Purnapatre P. Handa U. Varshney B. K. Biswal N. Sukumar J. K. Mohana Rao A. Johnson Vasantha Pattabhi S. Sri Krishna Mira Sastri H. S. Savithri M. R. N. Murthy Bindu Pillai Kannan M. V. Hosur Mukesh Kumar Swati Patwardhan K. K. Kannan B. Padmanabhaa S. Sasaki-Sugio M. Nukaga T. Matsuzaki S. Karthikevan S. Sharma A. K. Sharma M. Paramasivam P. Kumar J. A. Khan S. Yadav A. Srinivasan T. P. Singh S. Gourinath Neelima Alam A. Srintvasan Vikas Chandra Punit Kaur Ch. Betzel S. Ghosh A. K. Bera S. Bhattacharya S. Chakraborty A. K. Pal B. P. Mukhopadhyay I. Dey U. Haldar Asok Baneriee Jozef Sevcik Adriana Solovicova K. Sekar M. Sundaralingam N. Genov Dong-cai Liang Tao Jiang Ji-ping Zhang Wen-rui Chang Wolfgang Jahnke Marcel Blommers S. C. Panchal R. V. Hosur Bindu Pillay Puniti Mathur S. Srivatsun Ratan Mani Joshi N. R. Jaganathan V. S. Chauhan H. S. Atreya S. C. Sahu K. V. R. Chary Girjesh Govil Elisabeth Adjadj Éric Quinjou Nadia Izadi-Pruneyre Yves Blouquit Joël Mispelter Bernadette Heyd Guilhem Lerat Philippe Milnard Michel Desmadreil Y. Lin B. D. Nageswara Rao Vidva Raghunathan Mei H. Chau Prashant Pesais Sudha Srivastava Evans Coutinho Anil Saran Leizl F. Sapico Jayson Gesme Herbert Lijima Raymond Paxton Thamarapu Srikrishnan C. R. Grace G. Nagenagowda A. M. Lynn Sudha M. Cowsik Sarata C. Sahu S. Chauhan A. Bhattacharya G. Govil Anil Kumar Maurizio Pellecchia Erik R. P. Zuiderweg Keiichi Kawano Tomoyasu Aizawa Naoki Fujitani Yoichi Hayakawa Atsushi Ohnishi Tadayasu Ohkubo Yasuhiro Kumaki Kunio Hikichi Katsutoshi Nitta V. Rani Parvathy R. M. Kini Takumi Koshiba Yoshihiro Kobashigawa Min Yao Makoto Demura Astushi Nakagawa Isao Tanaka Kunihiro Kuwajima Jens Linge Seán O. Donoghue Michael Nilges G. Chakshusmathi Girish S. Ratnaparkhi P. K. Madhu R. Varadarajan C. Tetreau Molecular Biophysics Unit Indian Institute of Science Bangalore India Austrian Academy of Sciences Institute of Biophysics and X-ray Structure Research Graz Austria Faculty of Biology University of Konstanz Germany Institute of Medical Biochemistry University of Graz Austria Howard Huges Medical Institute Department of Chemistry & Biochemistry University of California La Jolla USA Department of Chemistry & Biochemistry University of California San Diego La Jolla USA Molecular Biophysics Unit India Department of Microbiology &Cell Biology Indian Institute of Science Bangalore India Macromolecular Structure Laboratory NCI - Frederick Cancer Research and Development Center ABL - Basic Research Program Frederick USA Department of Crystallography and Biophysics University of Madras Chennai Biochemistry Department Indian Institute of Science Bangalore India Condensed Matter Physics Division B.A.R.C. Trombay Mumbai Condensed Matter Physics Division Bhabha Atomic Research Centre Trombay Mumbai IMCB The University of Tokyo Tokyo Japan Mitsubishi Chemical Corporation Yokohama Research Center Yokohama Japan Faculty of Pharmaceutical Sciences Chiba University Chiba Japan Department of Biophysics All India Institute of Medical Sciences New Delhi India Department of Biophysics All India Institute of Medical sciences New Delhi India Institüt Physiologische Chemie Hamburg Germany Biophysics Department Bose Institute Calcutta India Slovak Academy of Sciences Institute of Molecular Biology Bratislava Slovakia Indian Institute of Science Bioinformatics Centre Bangalore Departments of Chemistry and Biochemistry Biological Macromolecular Structure Center USA Bulgarian Academy of Sciences Institute of Organic Chemistry Sofia Bulgaria Chinese Academy of Sciences Institute of Biophysics Beijing China Novartis Pharma AG Preclinical Research Basel Switzerland Department of Chemical Sciences Tata Institute of Fundamental Research Mumbai India Solid State Physics Div

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Metabolic pathway interface to molecular biology databases

Metabolic pathway interface to molecular biology databases

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International Working Conference on Scientific and Statistical Database Management

作者： B. Zeeberg K. Watanabe S. Goto R. Overbeek L. Kerschberg G. Michaels Institute for Computational Science and Informatics and Institute for Biosciences Bioinformatics and Biotechnology George Mason University USA Institute for Computational Science and Informatics and Westat George Mason University Institute for Chemical Research Kyoto University Division of Mathematics and Computer Sciences Argonne National Laboratory Information and Software Systems Engineering George Mason University Institute for Computational Science and Informatics and Institute for Biosciences Bioinformatics and Biotechnology George Mason University

We present results of providing database support to biomedicine via federation of SDB Cooperation/Integration based upon the KEGG GUI for molecular biology. The federation provides a common link to three molecular biology databases. The added value of the federation is freedom from consulting multiple references to ascertain the full set of enzymatic reactions in a metabolic pathway, and the option of selecting multiple queries to submit to the federated SDBs. Each of the SDBs is extensive, but incomplete. The union of the SDBs, implemented transparently by the federation, is more complete. Each SDB provides a different approach to the options available for data presentation and a different set of Web server tools for data analysis. Thus, an important part of the added value of the federation is the cross-fertilization available in the union of the molecular biological content, the presentation of data, and the tools available for analysis.

关键词： Biology computing Spatial databases Sequences informatics Bioinformatics Biotechnology Biomedical computing Web server Chemical engineering Laboratories

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The seasonal to interannual Earth science Information Partner: a distributed data and information broker

The seasonal to interannual Earth Science Information Partne...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： M. Kafatos D. Ziskin P. Chan Long Chiu B. Doty J. Kinter T. El-Ghazawi Zuotao Li X.S. Wang Ruixin Yang C. Willmott Center for Earth Observing and Space Research CEOSR Computational Science and Informatics CSI George Mason University Fairfax VA USA Distributed Active Archive Center NASA Goddard Space Flight Center Greenbelt MD Center for Ocean-Land-Atmosphere Studies MD Division of Electrical and Computer Science and Engineering Florida Institute of Technology Melbourne FL CEOSR George Mason University Fairfax VA Department of Geography University of Delaware Newark DE

A consortium of three main sites consisting of the Center for Earth Observing and Space Research (CEOSR) at George Mason University (GMU), the Center for Ocean-Land-Atmosphere Studies (COLA) and the NASA Goddard Space Flight Center Distributed Active Archive Center (GDAAC) has been formed. This consortium was recently funded by NASA's Earth science Information Partner program to provide data and information products serving the needs of seasonal to interannual (S-I) scientists and other related science communities. Specifically, CEOSR will provide information technology and a distributed system architecture as wall as specific data products to be accessed by the scientific communities, COLA will provide scientific direction and a widely-used tool in the S-I research communities and GDAAC data management and archiving. Along with several other contributors, our consortium will create an interdisciplinary source of data for S-I researchers to expand the usage and usefulness of NASA data and serve as broker on behalf of the S-I researchers by providing them enhanced access to NASA's data. The consortium under guidance by an advisory board of experts will select the most appropriate data from the DAAC, NOAA, COLA and the University of Delaware for S-I research applications. Metadata and summary statistics will be extracted and stored in databases at distributed nodes, while the data will be stored on an advanced array of disks. There will be a JAVA-based WWW user interface featuring three advances: (1) content-based searching of the summary metadata (2) exploratory analysis of on-line data and (3) phenomenon-based searching. The consortium will be responsive to the changing needs of its science users as well as in tune with significant information technology advances.

关键词： Geoscience NASA Information technology Earth Space technology Technology management Statistical distributions Data mining Distributed databases Spatial databases

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A parallel approach to digital holographic reconstruction with twin-image removal

A parallel approach to digital holographic reconstruction wi...

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IEEE Southeastcon

作者： Chihyung Tu J. Gerlach Sung-Chi Chu Ting-Chung Poon Computational Sciences Program Radford University Radford VA USA Department of Mathematics Radford University Radford VA USA Department of Computer Science Radford University Radford VA USA Bradley Department of Electrical Engineering Virginia Polytechnic Institute and State University Blacksburg VA USA

A parallel method developed for reconstructing images from holograms obtained with optical scanning holography is presented. A standard portable message-passing library, MPI or message-passing interface, is used to provide the environment of parallel programming. The parallel method is implemented using a network of workstations. The process of reconstructing images with twin-image removal from holograms is performed in parallel with respect to different reconstruction planes of interest. This process contributes to possible faster three-dimensional object identification to be investigated in future research.

关键词： Holography Image reconstruction Holographic optical components Optical recording Convolution Optical filters Concurrent computing Parallel processing Master-slave Mathematics

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Eigenvalue Problems: Algorithms, Software and Applications in Petascale Computing 1

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丛书名： Lecture Notes in computational science and engineering

1000年

作者： Tetsuya Sakurai Shao-Liang Zhang Toshiyuki Imamura Yusaku Yamamoto Yoshinobu Kuramashi Takeo Hoshi

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computational science — ICCS 2003 1

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丛书名： Lecture Notes in Computer science

1000年

作者： Peter M. A. Sloot David Abramson Alexander V. Bogdanov Yuriy E. Gorbachev Jack J. Dongarra Albert Y. Zomaya

ISBN: (数字)9783540448631

ISBN: (纸本)9783540401964

Some of the most challenging problems in science and engineering are being addressed by the integration of computation and science, a research ?eld known as computational science. computational science plays a vital role in fundamental advances in biology, physics, chemistry, astronomy, and a host of other disciplines. This is through the coordination of computation, data management, access to instrumentation, knowledge synthesis, and the use of new devices. It has an impact on researchers and practitioners in the sciences and beyond. The sheer size of many challenges in computational science dictates the use of supercomputing, parallel and distri- ted processing, grid-based processing, advanced visualization and sophisticated algorithms. At the dawn of the 21st century the series of International Conferences on computational science (ICCS) was initiated with a ?rst meeting in May 2001 in San Francisco. The success of that meeting motivated the organization of the - cond meeting held in Amsterdam April 21–24, 2002, where over 500 participants pushed the research ?eld further. The International Conference on computational science 2003 (ICCS 2003) is the follow-up to these earlier conferences. ICCS 2003 is unique, in that it was a single event held at two di?erent sites almost opposite each other on the globe – Melbourne, Australia and St. Petersburg, Russian Federation. The conference ran on the same dates at both locations and all the presented work was published in a single set of proceedings, which you hold in your hands right now.

关键词： Theory of Computation programming Techniques Computer Systems Organization and Communication Networks Mathematics of Computing Information Systems and Communication Service Computer Imaging, Vision, Pattern Recognition and Graphics

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computational science — ICCS 2003 1

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丛书名： Lecture Notes in Computer science

1000年

作者： Peter M. A. Sloot David Abramson Alexander V. Bogdanov Yuriy E. Gorbachev Jack J. Dongarra Albert Y. Zomaya

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Graph Artificial Intelligence in Medicine

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Biomedical Data science 1000年第1期7卷 345-368页

作者： Ruth Johnson Michelle M. Li Ayush Noori Owen Queen Marinka Zitnik 1Department of Biomedical Informatics Harvard Medical School Boston Massachusetts USA email: marinka@hms.harvard.edu 2Berkowitz Family Living Laboratory Harvard Medical School Boston Massachusetts USA 3Bioinformatics and Integrative Genomics Program Harvard Medical School Boston Massachusetts USA 4Department of Computer Science Harvard John A. Paulson School of Engineering and Applied Sciences Allston Massachusetts USA 5Broad Institute of MIT and Harvard Cambridge Massachusetts USA 7Kempner Institute for the Study of Natural and Artificial Intelligence Harvard University Allston Massachusetts USA 6Harvard Data Science Initiative Cambridge Massachusetts USA

In clinical artificial intelligence (AI), graph representation learning, mainly through graph neural networks and graph transformer architectures, stands out for its capability to capture intricate relationships and structures within clinical datasets. With diverse data—from patient records to imaging—graph AI models process data holistically by viewing modalities and entities within them as nodes interconnected by their relationships. Graph AI facilitates model transfer across clinical tasks, enabling models to generalize across patient populations without additional parameters and with minimal to no retraining. However, the importance of human-centered design and model interpretability in clinical decision-making cannot be overstated. Since graph AI models capture information through localized neural transformations defined on relational datasets, they offer both an opportunity and a challenge in elucidating model rationale. Knowledge graphs can enhance interpretability by aligning model-driven insights with medical knowledge. Emerging graph AI models integrate diverse data modalities through pretraining, facilitate interactive feedback loops, and foster human–AI collaboration, paving the way toward clinically meaningful predictions.

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Ernst Denert Award for Software engineering 2020 1

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1000年

作者： Michael Felderer Wilhelm Hasselbring Heiko Koziolek Florian Matthes Lutz Prechelt Ralf Reussner Bernhard Rumpe Ina Schaefer

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