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Mapping essential urban land use categories in China(EULUC-China):preliminary results for 2018

science Bulletin 2020年第3期65卷 182-187页

作者： Peng Gong Bin Chen Xuecao Li Han Liu Jie Wang Yuqi Bai Jingming Chen Xi Chen Lei Fang Shuailong Feng Yongjiu Feng Yali Gong Hao Gu Huabing Huang Xiaochun Huang Hongzan Jiao Yingdong Kang Guangbin Lei Ainong Li Xiaoting Li Xun Li Yuechen Li Zhilin Li Zhongde Li Chong Liu Chunxia Liu Maochou Liu Shuguang Liu Wanliu Mao Changhong Miao Hao Ni Qisheng Pan Shuhua Qi Zhehao Ren Zhuoran Shan Shaoqing Shen Minjun Shi Yimeng Song Mo Su Hoi Ping Suen Bo Sun Fangdi Sun Jian Sun Lin Sun Wenyao Sun Tian Tian Xiaohua Tong Yihsing Tseng Ying Tu Hong Wang Lan Wang Xi Wan Zongming Wang Tinghai Wu Yaowen Xie Jian Yang Jun Yang Man Yuan Wenze Yue Hongda Zeng Kuo Zhang Neng Zhang Tao Zhang Yu Zhang Feng Zhao Yichen Zheng Qiming Zhou Nicholas Clinton Zhiliang Zhu Bing Xu Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijing 100084China Tsinghua Urban Institute Tsinghua UniversityBeijing 100084China Center for Healthy Cities Institute for China Sustainable UrbanizationTsinghua UniversityBeijing 100084China Department of Land Air and Water ResourcesUniversity of CaliforniaDavisCA 95616-8627USA Department of Geological and Atmospheric Sciences Iowa State UniversityAmesIA 50011USA State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijing 100101China AI for Earth Laboratory Cross-Strait InstituteTsinghua UniversityBeijing 100084China International Institute for Earth System Sciences Nanjing UniversityNanjing 210093China Research Center for Ecology and Environment of Central Asia Chinese Academy of SciencesUrumchi 830011China Key Laboratory of Forest Ecology and Management Institute of Applied EcologyChinese Academy of SciencesShenyang 110016China National Engineering Laboratory for Applied Technology in Forestry&Ecology in South China College of Life Science and TechnologyCentral South University of Forestry and TechnologyChangsha 410004China College of Surveying&Geo-Informatics Tongji UniversityShanghai 200092China Department of Urban Planning College of Architecture and Urban PlanningTongji UniversityShanghai 200092China Beijing Institute of Urban Planning Beijing 100045China Department of Urban Planning School of Urban DesignWuhan UniversityWuhan 430072China College of Earth Sciences Jilin UniversityChangchun 130061China Research Center for Digital Mountain and Remote Sensing Application Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610041China Institute of Remote Sensing and Geographic Information System School of Earth and Space SciencesPeking UniversityBeijing 100871China Department of Urban and Regional Planning School of Geography and PlanningSun Yat-sen Univ

Land use reflects human activities on *** land use is the highest level human alteration on Earth,and it is rapidly changing due to population increase and *** areas have widespread effects on local hydrology,climate,biodiversity,and food production[1,2].However,maps,that contain knowledge on the distribution,pattern and composition of various land use types in urban areas,are limited to city *** mapping standard on data sources,methods,land use classification schemes varies from city to city,due to differences in financial input and skills of mapping *** address various national and global environmental challenges caused by urbanization,it is important to have urban land uses at the national and global scales that are derived from the same or consistent data sources with the same or compatible classification systems and mapping *** is because,only with urban land use maps produced with similar criteria,consistent environmental policies can be made,and action efforts can be compared and assessed for large scale environmental ***,despite of the fact that a number of urban-extent maps exist at global scales[3,4],more detailed urban land use maps do not exist at the same *** at big country or regional levels such as for the United States,China and European Union,consistent land use mapping efforts are rare[5,6](e.g.,https://***/open_land_use/).

关键词： EULUC-China 土地利用类型

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The Third Fermi Large Area Telescope Catalog of Gamma-ray Pulsars

arXiv

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arXiv 2023年

作者： Smith, D.A. Abdollahi, S. Ajello, M. Bailes, M. Baldini, L. Ballet, J. Baring, M.G. Bassa, C. Gonzalez, J. Becerra Bellazzini, R. Berretta, A. Bhattacharyya, B. Bissaldi, E. Bonino, R. Bottacini, E. Bregeon, J. Bruel, P. Burgay, M. Burnett, T.H. Cameron, R.A. Camilo, F. Caputo, R. Caraveo, P.A. Cavazzuti, E. Chiaro, G. Ciprini, S. Clark, C.J. Cognard, I. Corongiu, A. Orestano, P. Cristarella Crnogorcevic, M. Cuoco, A. Cutini, S. D'Ammando, F. de Angelis, A. DeCesar, M.E. De Gaetano, S. de Menezes, R. Deneva, J. de Palma, F. Di Lalla, N. Dirirsa, F. Di Venere, L. Domínguez, A. Dumora, D. Fegan, S.J. Ferrara, E.C. Fiori, A. Fleischhack, H. Flynn, C. Franckowiak, A. Freire, P.C.C. Fukazawa, Y. Fusco, P. Galanti, G. Gammaldi, V. Gargano, F. Gasparrini, D. Giacchino, F. Giglietto, N. Giordano, F. Giroletti, M. Green, D. Grenier, I.A. Guillemot, L. Guiriec, S. Gustafsson, M. Harding, A.K. Hays, E. Hewitt, J.W. Horan, D. Hou, X. Jankowski, F. Johnson, R.P. Johnson, T.J. Johnston, S. Kataoka, J. Keith, M.J. Kerr, M. Kramer, M. Kuss, M. Latronico, L. Lee, S.-H. Li, D. Li, J. Limyansky, B. Longo, F. Loparco, F. Lorusso, L. Lovellette, M.N. Lower, M. Lubrano, P. Lyne, A.G. Maan, Y. Maldera, S. Manchester, R.N. Manfreda, A. Marelli, M. Martí-Devesa, G. Mazziotta, M.N. McEnery, J.E. Mereu, I. Michelson, P.F. Mickaliger, M. Mitthumsiri, W. Mizuno, T. Moiseev, A.A. Monzani, M.E. Morselli, A. Negro, M. Nemmen, R. Nieder, L. Nuss, E. Omodei, N. Orienti, M. Orlando, E. Ormes, J.F. Palatiello, M. Paneque, D. Panzarini, G. Parthasarathy, A. Persic, M. Pesce-Rollins, M. Pillera, R. Poon, H. Porter, T.A. Possenti, A. Principe, G. Rainò, S. Rando, R. Ransom, S.M. Ray, P.S. Razzano, M. Razzaque, S. Reimer, A. Reimer, O. Renault-Tinacci, N. Romani, R.W. Sánchez-Conde, M. Parkinson, P.M. Saz Scotton, L. Serini, D. Sgrò, C. Shannon, R. Sharma, V. Shen, Z. Siskind, E.J. Spandre, G. Université Bordeaux CNRS LP2I Bordeaux UMR 5797 GradignanF-33170 France Laboratoire d’Astrophysique de Bordeaux Université de Bordeaux CNRS B18N allée Geoffroy Saint-Hilaire PessacF-33615 France IRAP Université de Toulouse CNRS UPS CNES ToulouseF-31028 France Department of Physics and Astronomy Clemson University Kinard Lab of Physics ClemsonSC29634-0978 United States Centre for Astrophysics and Supercomputing Swinburne University of Technology PO Box 218 HawthornVIC3122 Australia Università di Pisa Istituto Nazionale di Fisica Nucleare Sezione di Pisa PisaI-56127 Italy Université Paris-Saclay Université Paris Cité CEA CNRS AIM Gif-sur-YvetteF-91191 Cedex France Rice University Department of Physics and Astronomy MS-108 P. O. Box 1892 HoustonTX77251 United States ASTRON The Netherlands Institute for Radio Astronomy Postbus 2 Dwingeloo7990 AA Netherlands Instituto de Astrofísica de Canarias Universidad de La Laguna Dpto. Astrofísica Tenerife La Laguna38200 Spain Istituto Nazionale di Fisica Nucleare Sezione di Pisa PisaI-56127 Italy Dipartimento di Fisica Università degli Studi di Perugia PerugiaI-06123 Italy National Centre for Radio Astrophysics Tata Institute of Fundamental Research Pune411 007 India Dipartimento di Fisica "M. Merlin" dell’Università e del Politecnico di Bari via Amendola 173 BariI-70126 Italy Istituto Nazionale di Fisica Nucleare Sezione di Bari BariI-70126 Italy Istituto Nazionale di Fisica Nucleare Sezione di Torino TorinoI-10125 Italy Dipartimento di Fisica Università degli Studi di Torino TorinoI-10125 Italy Dipartimento di Fisica e Astronomia "G. Galilei" Università di Padova Via F. Marzolo 8 PadovaI-35131 Italy W. W. Hansen Experimental Physics Laboratory Kavli Institute for Particle Astrophysics and Cosmology Department of Physics SLAC National Accelerator Laboratory Stanford University StanfordCA94305 United States Grenoble France Laboratoire Leprince-Ringuet CNRS IN2P3 École p

We present 294 pulsars found in GeV data from the Large Area Telescope (LAT) on the Fermi Gamma-ray Space Telescope. Another 33 millisecond pulsars (MSPs) discovered in deep radio searches of LAT sources will likely reveal pulsations once phase-connected rotation ephemerides are achieved. A further dozen optical and/or X-ray binary systems co-located with LAT sources also likely harbor gamma-ray MSPs. This catalog thus reports roughly 340 gamma-ray pulsars and candidates, 10% of all known pulsars, compared to ≤ 11 known before Fermi. Half of the gamma-ray pulsars are young. Of these, the half that are undetected in radio have a broader Galactic latitude distribution than the young radio-loud pulsars. The others are MSPs, with 6 undetected in radio. Overall, ≥ 236 are bright enough above 50 MeV to fit the pulse profile, the energy spectrum, or both. For the common two-peaked profiles, the gamma-ray peak closest to the magnetic pole crossing generally has a softer spectrum. The spectral energy distributions tend to narrow as the spindown power E decreases to its observed minimum near 1033 erg s−1, approaching the shape for synchrotron radiation from monoenergetic electrons. We calculate gamma-ray luminosities when distances are available. Our all-sky gamma-ray sensitivity map is useful for population syntheses. The electronic catalog version provides gamma-ray pulsar ephemerides, properties and fit results to guide and be compared with modeling results. © 2023, CC BY.

关键词： Pulsars

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Author Correction: Universal DNA methylation age across mammalian tissues

Nature aging

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Nature aging 2023年第11期3卷 1462页

作者： A T Lu Z Fei A Haghani T R Robeck J A Zoller C Z Li R Lowe Q Yan J Zhang H Vu J Ablaeva V A Acosta-Rodriguez D M Adams J Almunia A Aloysius R Ardehali A Arneson C S Baker G Banks K Belov N C Bennett P Black D T Blumstein E K Bors C E Breeze R T Brooke J L Brown G G Carter A Caulton J M Cavin L Chakrabarti I Chatzistamou H Chen K Cheng P Chiavellini O W Choi S M Clarke L N Cooper M L Cossette J Day J DeYoung S DiRocco C Dold E E Ehmke C K Emmons S Emmrich E Erbay C Erlacher-Reid C G Faulkes S H Ferguson C J Finno J E Flower J M Gaillard E Garde L Gerber V N Gladyshev V Gorbunova R G Goya M J Grant C B Green E N Hales M B Hanson D W Hart M Haulena K Herrick A N Hogan C J Hogg T A Hore T Huang J C Izpisua Belmonte A J Jasinska G Jones E Jourdain O Kashpur H Katcher E Katsumata V Kaza H Kiaris M S Kobor P Kordowitzki W R Koski M Krützen S B Kwon B Larison S G Lee M Lehmann J F Lemaitre A J Levine C Li X Li A R Lim D T S Lin D M Lindemann T J Little N Macoretta D Maddox C O Matkin J A Mattison M McClure J Mergl J J Meudt G A Montano K Mozhui J Munshi-South A Naderi M Nagy P Narayan P W Nathanielsz N B Nguyen C Niehrs J K O'Brien P O'Tierney Ginn D T Odom A G Ophir S Osborn E A Ostrander K M Parsons K C Paul M Pellegrini K J Peters A B Pedersen J L Petersen D W Pietersen G M Pinho J Plassais J R Poganik N A Prado P Reddy B Rey B R Ritz J Robbins M Rodriguez J Russell E Rydkina L L Sailer A B Salmon A Sanghavi K M Schachtschneider D Schmitt T Schmitt L Schomacher L B Schook K E Sears A W Seifert A Seluanov A B A Shafer D Shanmuganayagam A V Shindyapina M Simmons K Singh I Sinha J Slone R G Snell E Soltanmaohammadi M L Spangler M C Spriggs L Staggs N Stedman K J Steinman D T Stewart V J Sugrue B Szladovits J S Takahashi M Takasugi E C Teeling M J Thompson B Van Bonn S C Vernes D Villar H V Vinters M C Wallingford N Wang R K Wayne G S Wilkinson C K Williams R W Williams X W Yang M Yao B G Young B Zhang Z Zhang P Zhao Y Zhao W Zhou J Zimmermann J Ernst K Raj S Horvath Department of Human Genetics David Geffen School of Medicine University of California Los Angeles Los Angeles CA USA. Altos Labs San Diego Institute of Science San Diego CA USA. Department of Biostatistics Fielding School of Public Health University of California Los Angeles Los Angeles CA USA. Department of Statistics University of California Riverside Riverside CA USA. Zoological SeaWorld Parks and Entertainment Orlando FL USA. Altos Labs Cambridge Institute of Science Cambridge UK. Bioinformatics Interdepartmental Program University of California Los Angeles CA USA. Department of Biological Chemistry University of California Los Angeles Los Angeles CA USA. Department of Biology University of Rochester Rochester NY USA. Department of Neuroscience Peter O'Donnell Jr. Brain Institute University of Texas Southwestern Medical Center Dallas TX USA. Department of Biology University of Maryland College Park MD USA. Loro Parque Fundacion Puerto de la Cruz Spain. Department of Biology University of Kentucky Lexington KY USA. Division of Cardiology Department of Internal Medicine David Geffen School of Medicine University of California Los Angeles Los Angeles CA USA. Marine Mammal Institute Oregon State University Newport OR USA. School of Science and Technology Clifton Campus Nottingham Trent University Nottingham UK. School of Life and Environmental Sciences the University of Sydney Sydney New South Wales Australia. Department of Zoology and Entomology University of Pretoria Hatfield South Africa. Busch Gardens Tampa Tampa FL USA. Department of Ecology and Evolutionary Biology University of California Los Angeles Los Angeles CA USA. Rocky Mountain Biological Laboratory Crested Butte CO USA. Altius Institute for Biomedical Sciences Seattle WA USA. Epigenetic Clock Development Foundation Los Angeles CA USA. Center for Species Survival Smithsonian Conservation Biology Institute Front Royal VA USA. Department of Evolution Eco

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Author Correction: Community-wide hackathons to identify central themes in single-cell multi-omics

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Genome biology 2021年第1期22卷 246页

作者： Kim-Anh Lê Cao Al J Abadi Emily F Davis-Marcisak Lauren Hsu Arshi Arora Alexis Coullomb Atul Deshpande Yuzhou Feng Pratheepa Jeganathan Melanie Loth Chen Meng Wancen Mu Vera Pancaldi Kris Sankaran Dario Righelli Amrit Singh Joshua S Sodicoff Genevieve L Stein-O'Brien Ayshwarya Subramanian Joshua D Welch Yue You Ricard Argelaguet Vincent J Carey Ruben Dries Casey S Greene Susan Holmes Michael I Love Matthew E Ritchie Guo-Cheng Yuan Aedin C Culhane Elana Fertig Melbourne Integrative Genomics School of Mathematics and Statistics University of Melbourne Melbourne Australia. kimanh.lecao@nimelb.edu.au. Melbourne Integrative Genomics School of Mathematics and Statistics University of Melbourne Melbourne Australia. McKusick-Nathans Institute of the Department of Genetic Medicine Johns Hopkins School of Medicine Baltimore MD USA. Data Science Dana-Farber Cancer Institute Boston MA USA. Biostatistics Harvard TH Chan School of Public Health Boston MA USA. Department of Epidemiology and Biostatistics Memorial Sloan Kettering Cancer Center New York NY USA. Centre de Recherches en Cancérologie de Toulouse (INSERM) Université Paul Sabatier III Toulouse France. Cancer Convergence Institute and Division of Quantitative Sciences Department of Oncology Sidney Kimmel Comprehensive Cancer Center Johns Hopkins University School of Medicine Baltimore MD USA. Department of Mathematics and Statistics McMaster University Hamilton Canada. Bavarian Center for Biomolecular Mass Spectrometry (BayBioMS) School of Life Sciences Technical University of Munich Munich Germany. Department of Biostatistics UNC Chapel Hill NC USA. Barcelona Supercomputing Center Barcelona Spain. Department of Statistics University of Wisconsin Madison WI USA. Department of Statistical Sciences University of Padova Padova PD Italy. Department of Pathology and Laboratory Medicine University of British Columbia Vancouver BC Canada. PROOF Centre of Excellence Vancouver BC Canada. Department of Computational Medicine and Bioinformatics University of Michigan Ann Arbor MI USA. Department of Biomedical Engineering University of Michigan Ann Arbor MI USA. Department of Neuroscience Johns Hopkins University Baltimore MD USA. Kavli Neuroscience Discovery Institute Johns Hopkins University Baltimore MD USA. Klarman Cell Observatory Broad Institute of MIT and Harvard Cambridge MA USA. Department of Computer Science and Engineering University of Michiga

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An overview from hygroscopic aerosols to cloud droplets: The HygrA-CD campaign in the Athens basin

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science of The Total Environment 2017年 574卷 216-233页

作者： A. Papayannis A. Argyrouli A. Bougiatioti E. Remoundaki S. Vratolis A. Nenes S. Solomos M. Komppula E. Giannakaki J. Kalogiros R. Banks K. Eleftheriadis E. Mantas E. Diapouli C.G. Tzanis S. Kazadzis I. Binietoglou L. Labzovskii C.S. Zerefos Laser Remote Sensing Unit Physics Department School of Applied Mathematics and Physical Sciences National Technical University of Athens 15780 Zografou Greece School of Earth & Atmospheric Sciences Georgia Institute of Technology Atlanta 30332 GA USA Laboratory of Environmental Science and Engineering School of Mining and Metallurgical Engineering National Technical University of Athens 15780 Zografou Greece ERL INRSTES N.C.S.R. Demokritos 15310 Agia Paraskevi Attiki Greece ICE-HT Foundation for Research and Technology Hellas 26504 Patras Greece Institute of Environmental Research and Sustainable Development National Observatory of Athens Athens Greece School of Chemical & Biomolecular Engineering Georgia Institute of Technology Atlanta 30332 GA USA Institute for Astronomy Astrophysics Space Applications and Remote Sensing National Observatory of Athens Athens Greece Finnish Meteorological Institute Kuopio Finland Department of Environmental Physics and Meteorology Faculty of Physics University of Athens Athens Greece Barcelona Supercomputing Center-Centro Nacional de Supercomputación (BSC-CNS) Earth Sciences Department Jordi Girona 29 Edificio Nexus II Barcelona Spain Environmental Modelling Laboratory Polytechnic University of Catalonia Barcelona Spain Climate Research Group Division of Environmental Physics and Meteorology Department of Physics National and Kapodistrian University of Athens 15784 Athens Greece Physikalisch-Meteorologisches Observatorium Davos World Radiation Center Switzerland National Institute of Research and Development for Optoelectronics Magurele Romania Research Center of Ecological Safety Russian Academy of Sciences St. Petersburg Russia Biomedical Research Foundation of the Academy of Athens Athens Greece Navarino Environmental Observatory (N.E.O.) Messinia Greece

The international experimental campaign Hygroscopic Aerosols to Cloud Droplets (HygrA-CD), organized in the Greater Athens Area (GAA), Greece from 15 May to 22 June 2014, aimed to study the physico-chemical properties of aerosols and their impact on the formation of clouds in the convective Planetary Boundary Layer (PBL). We found that under continental (W-NW-N) and Etesian (NE) synoptic wind flow and with a deep moist PBL (~ 2–2.5 km height), mixed hygroscopic (anthropogenic, biomass burning and marine) particles arrive over the GAA, and contribute to the formation of convective non-precipitating PBL clouds (with droplets of ~ 16–20 μm mean diameter) with vertical extent up to 500 m. Under these conditions, high updraft velocities (1–2 m s − 1 ) and cloud condensation nuclei (CCN) concentrations (~ 2000 cm − 3 at 1% supersaturation), generated clouds with an estimated cloud droplet number of ~ 600 cm − 3 . Under Saharan wind flow conditions (S-SW) a shallow PBL (< 1–1.2 km height) develops, leading to much higher CCN concentrations (~ 3500–5000 cm − 3 at 1% supersaturation) near the ground; updraft velocities, however, were significantly lower, with an estimated maximum cloud droplet number of ~ 200 cm − 3 and without observed significant PBL cloud formation. The largest contribution to cloud droplet number variance is attributed to the updraft velocity variability, followed by variances in aerosol number concentration.

关键词： Aerosol Raman lidar Doppler lidar Precipitation radar SMPS CCN Aerosol chemical properties WRF FLEXPART model Cloud development Cloud droplet number HygrA-CD Athens Greece

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Fluid structure interaction in HPC multi-code coupling

Fluid structure interaction in HPC multi-code coupling

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作者： Cajas, J.C. Zavala, M. Houzeaux, G. Casoni, E. Vázquez, M. Moulinec, C. Fournier, Y. Computer Applications for Science and Engineering Barcelona Supercomputing Center Spain Scientific Computing Department Science and Technology Facilities Council Daresbury Laboratory Warrington United Kingdom Research and Development Électricité de France Chatou France

Fluid structure interaction (FSI) problems are of great interest in many applied fields such as aerodynamics, renewable energy generation, nuclear energy generation, vehicles design and biophysical systems research. This kind of problems can be addressed using a monolithic or a staggered approach. The monolithic scheme usually provides robustness and stability in the simulation process but involves extensive code rewriting and is usually less flexible than the staggered approach. The later usually suffers instability in the coupling algorithm but it allows to reuse previously existing code for the physical components of the problem. Extreme-scaling codes for computational fluid dynamics (CFD) and computational solid dynamics (CSD) have been developed for high end machines through the years, and have proven to run efficiently on the most powerful supercomputing infrastructure available. This makes the staggered multi-code coupling approach particularly attractive for FSI simulations on high performance computing (HPC) systems. However, besides the physical difficulties belonging to the FSI simulations, multi-code coupling poses its own computational challenges, as it involves extra communication between two a priori independent parallel applications. This creates an extra level of load imbalance and synchronization points that have to be carefully considered in order to maintain the efficiency of the separated codes, as well as of the whole coupling. In this paper, a staggered approach for FSI problems is presented. Two instances of the same extreme-scale code are used, Alya-Nastin for the CFD simulation and Alya-solidz for the CSD simulation. Characteristics of the parallel code coupling are presented and a validation test case is considered. © Civil-Comp Press, 2015.

关键词： Computational fluid dynamics

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROscience 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Coalitional Game Theory for Security Risk Management

Coalitional Game Theory for Security Risk Management

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International Conference on Internet Monitoring and Protection, ICIMP

作者： Walid Saad Tansu Alpcan Tamer Basar Are Hjorungnes UNIK-University Graduate Center University of Oslo Kjeller Norway Deutsche Telekom Research and Development Laboratories Berlin Germany Coordinated Science Laboratory University of Illinois Urbana-Champaign USA

Quantitative models for security risk management in organizations are recently receiving an increased attention in the research community. This paper investigates the possibility of cooperation among autonomous divisions of an organization with dependent security assets and/or vulnerabilities for reducing overall security risks. A coalitional game is formulated for modeling cooperation possibilities among these divisions based on their both positive (synergies) and negative (vulnerabilities) interdependencies. The proposed game constitutes a framework that allows to investigate how an organization can maximize its total utility through cooperation among its different divisions. The introduced utility accounts for the gains from cooperation, in terms of an improved synergy among the divisions, and the costs for cooperation that account for the friction among the divisions (e.g. due to social and human factors) as well as the difficulty of managing large-sized divisions. Using the proposed game model, the illustrative cases of two-coalition cooperation, two-division cooperation as well as a practical scenario when using an ideal cooperation protocol are analyzed.

关键词： Game theory Risk management Data security Biometrics Fingerprint recognition Protection Authentication Entropy Information security Data privacy

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Efficient scheduling of nested parallel loops on multi-core systems

Efficient scheduling of nested parallel loops on multi-core ...

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38th International Conference on Parallel Processing, ICPP-2009

作者： Kejariwal, Arun Nicolau, Alexandru Veidenbaum, Alexander V. Banerjee, Utpal Polychronopoulos, Constantine D. Center for Embedded Computer Systems School of Information and Computer Science University of California Irvine United States Center of Supercomputing Research and Development Computer and Systems Research Laboratory University of Illinois Urbana-Champaign United States

ISBN: (纸本)9780769538020

Parallel loops, such as a parallel DO loop, in Fortran, account for large percentage of the total execution time. Given this, we focus on the problem of how to efficiently schedule nested perfect/nonperfect parallel loops on the emerging multi-core systems. In this regard, one of the key aspects is how to determine the profitability of parallel execution and how to efficiently capture the cache behavior as the cache subsystem is often the main performance bottleneck in multi-core systems. In this paper, we present a novel profile-guided compiler technique for cache-aware scheduling of iteration spaces of such loops. Specifically, we propose a technique for iteration space scheduling which captures the effect of variation in the number of cache misses across the iteration space. Subsequently, we propose a general approach to capture the variation of both the number of cache misses and computation across the iteration space. We demonstrate the efficacy of our approach on a dedicated 4- way Intel ®Xeon®based multiprocessor using several kernels from the industry-standard benchmarks. © 2009 IEEE.

关键词： Scheduling

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Efficient Scheduling of Nested Parallel Loops on Multi-Core Systems

Efficient Scheduling of Nested Parallel Loops on Multi-Core ...

引用

International Conference on Parallel Processing (ICPP)

作者： Arun Kejariwal Alexandru Nicolau Alexander V. Veidenbaum Utpal Banerjee Constantine D. Polychronopoulos Center of Embedded Computer Systems School of Information and Computer Science University of California Irvine USA Center of Supercomputing Research and Development Computer and Systems Research Laboratory University of Illinois Urbana-Champaign USA

Parallel loops, such as a parallel DO loop, in Fortran, account for large percentage of the total execution time. Given this, we focus on the problem of how to efficiently schedule nested perfect/non-perfect parallel loops on the emerging multi-core systems. In this regard, one of the key aspects is how to determine the profitability of parallel execution and how to efficiently capture the cache behavior as the cache subsystem is often the main performance bottleneck in multi-core systems. In this paper, we present a novel profile-guided compiler technique for cache-aware scheduling of iteration spaces of such loops. Specifically, we propose a technique for iteration space scheduling which captures the effect of variation in the number of cache misses across the iteration space. Subsequently, we propose a general approach to capture the variation of both the number of cache misses and computation across the iteration space. We demonstrate the efficacy of our approach on a dedicated 4-way Intel®Xeon®based multiprocessor using several kernels from the industry-standard benchmarks.

关键词： Job shop scheduling Processor scheduling Concurrent computing Profitability Embedded computing Computer aided instruction Parallel processing Computer science research and development Laboratories

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