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A Topology-Adaptive Overlay Framework. (Under the Direction of Dr
ABSTRACT KANDEKAR, KUNAL. TAO: A Topology-Adaptive Overlay Framework. (Under the direction of Dr. Khaled Harfoush.) Large-scale distributed systems rely on constructing overlay networks in which nodes communicate with each other through intermediate overlay neighbors. Organizing nodes in the overlay while preserving its congruence with the underlying IP topology (the underlay) is important to reduce the communication cost between nodes. In this thesis, we study the state- of-the-art approaches to match the overlay and underlay topologies and pinpoint their limitations in Internet-like setups. We also introduce a new Topology-Adaptive Overlay organization framework, TAO, which is scalable, accurate and lightweight. As opposed to earlier approaches, TAO compiles information resulting from traceroute packets to a small number of landmarks, and clusters nodes based on (1) the number of shared hops on their path towards the landmarks, and (2) their proximity to the landmarks. TAO is also highly flexible and can complement all existing structured and unstructured distributed systems. Our experimental results, based on actual Internet data, reveal that with only five landmarks, TAO identifies the closest node to any node with 85% - 90% accuracy and returns nodes that on average are within 1 millisecond from the closest node if the latter is missed. As a result, TAO overlays enjoy very low stretch (between 1.15 and 1.25). Our results also indicate that shortest-path routing on TAO overlays result in shorter end-to-end delays than direct underlay delays in 8-10% of the overlay paths. TAO: A Topology-Adaptive Overlay Framework by Kunal Kandekar A thesis submitted to the Graduate Faculty of North Carolina State University in partial fulfillment of the requirements for the Degree of Master of Science Computer Science Raleigh 2006 Approved by: _______________________________ _______________________________ Dr. -
Computing ATOMIC NUCLEI
UNIVERSAL NUCLEAR ENERGY DENSITY FUNCTIONAL Computing ATOMIC NUCLEI Petascale computing helps disentangle the nuclear puzzle. The goal of the Universal Nuclear Energy Density Functional (UNEDF) collaboration is to provide a comprehensive description of all nuclei and their reactions based on the most accurate knowledge of the nuclear interaction, the most reliable theoretical approaches, and the massive use of computer power. Science of Nuclei the Hamiltonian matrix. Coupled cluster (CC) Nuclei comprise 99.9% of all baryonic matter in techniques, which were formulated by nuclear sci- the Universe and are the fuel that burns in stars. entists in the 1950s, are essential techniques in The rather complex nature of the nuclear forces chemistry today and have recently been resurgent among protons and neutrons generates a broad in nuclear structure. Quantum Monte Carlo tech- range and diversity in the nuclear phenomena that niques dominate studies of phase transitions in can be observed. As shown during the last decade, spin systems and nuclei. These methods are used developing a comprehensive description of all to understand both the nuclear and electronic nuclei and their reactions requires theoretical and equations of state in condensed systems, and they experimental investigations of rare isotopes with are used to investigate the excitation spectra in unusual neutron-to-proton ratios. These nuclei nuclei, atoms, and molecules. are labeled exotic, or rare, because they are not When applied to systems with many active par- typically found on Earth. They are difficult to pro- ticles, ab initio and configuration interaction duce experimentally because they usually have methods present computational challenges as the extremely short lifetimes. -
Nuclear Data Library for Incident Proton Energies to 150 Mev
LA-UR-00-1067 Approved for public release; distribution is unlimited. 7Li(p,n) Nuclear Data Library for Incident Proton Title: Energies to 150 MeV Author(s): S. G. Mashnik, M. B. Chadwick, P. G. Young, R. E. MacFarlane, and L. S. Waters Submitted to: http://lib-www.lanl.gov/la-pubs/00393814.pdf Los Alamos National Laboratory, an affirmative action/equal opportunity employer, is operated by the University of California for the U.S. Department of Energy under contract W-7405-ENG-36. By acceptance of this article, the publisher recognizes that the U.S. Government retains a nonexclusive, royalty- free license to publish or reproduce the published form of this contribution, or to allow others to do so, for U.S. Government purposes. Los Alamos National Laboratory requests that the publisher identify this article as work performed under the auspices of the U.S. Department of Energy. Los Alamos National Laboratory strongly supports academic freedom and a researcher's right to publish; as an institution, however, the Laboratory does not endorse the viewpoint of a publication or guarantee its technical correctness. FORM 836 (10/96) Li(p,n) Nuclear Data Library for Incident Proton Energies to 150 MeV S. G. Mashnik, M. B. Chadwick, P. G. Young, R. E. MacFarlane, and L. S. Waters Los Alamos National Laboratory, Los Alamos, NM 87545 Abstract Researchers at Los Alamos National Laboratory are considering the possibility of using the Low Energy Demonstration Accelerator (LEDA), constructed at LANSCE for the Ac- celerator Production of Tritium program (APT), as a neutron source. Evaluated nuclear data are needed for the p+ ¡ Li reaction, to predict neutron production from thin and thick lithium targets. -
Nuclear Energy Agency Nuclear Data Committee
NUCLEAR ENERGY AGENCY NUCLEAR DATA COMMITTEE SUMMARY RECORD OF THE lWEEFPY-FIRST MEETING (Technical Sessions) CBNM, Gee1 (Belgium) 24th-28th September 1979 Compiled by C. COCEVA (Scientific Secretary) OECD NUCLEAR ENERGY AGENCY 38 Bd. Suchet, 75016 Paris TABLE OF CONTENTS TECHNICAL SESSIONS Participants in meeting 1. Isotopes 2. National Progress Reports 3. Meetings 4. Technical Discussions 5. Topical Meeting on "Progress in Neutron Data of Structural Materials for Fast ~eactors" 6. Neutron and Related Nuclear Data Compilations and Evaluations Appendices 1 Meetings of the IAEA/NDS planned for 1980, 1981 and 1982 2 Progranme of the Topical Meeting on "Progress in Neutron Data of Structural Materials for Fast Reactors " 3 Summary of the general discussion on the works presented at the Topical Meeting TECmTICAL SESSIONS Perticipants in the 21st Meeting were as follows : For Canada : Dr. W.G. Cross Atomic Energy of Canada Ltd. Chalk River For Japan : Dr. K. Tsukada Japan Atomic Energy Research Institute Tokai-blur a For the United States of America : Dr. R.E. Chrien (Chairman) Brookhaven National Laboratory Dr. S.L. Wl~etstone U.S. Department of Energy Dr. 8.T. Motz Los Alamos Scientific Laboratory Dr. F.G. Perey Oak Ridge National Laboratory For the countries of the European Communities and the European Commission acting together : Dr. R. Iiockhoff (Local Secretary) Central Bureau for Nuclear Pleasurements Geel, Belgium Dr. C. Coceva (Scientific Secretary) Comitato Nazionale per 1'Energia Nucleare Bologna, Italy Dr. S. Cierjacks Kernforschungszentrum Karlsruhe Federal Republic of Germany Dr. C. Fort Conunissariat i 1'Energie Atomique Cadaroche, France Dr. A. Michaudon (Vice-chairman) Commissariat 2 1'Energie Atomique Bruysrcs-1.e-ChZtel Dr. -
The Atomic Simulation Environment - a Python Library for Working with Atoms
Downloaded from orbit.dtu.dk on: Sep 28, 2021 The Atomic Simulation Environment - A Python library for working with atoms Larsen, Ask Hjorth; Mortensen, Jens Jørgen; Blomqvist, Jakob; Castelli, Ivano Eligio; Christensen, Rune; Dulak, Marcin; Friis, Jesper; Groves, Michael; Hammer, Bjørk; Hargus, Cory Total number of authors: 34 Published in: Journal of Physics: Condensed Matter Link to article, DOI: 10.1088/1361-648X/aa680e Publication date: 2017 Document Version Peer reviewed version Link back to DTU Orbit Citation (APA): Larsen, A. H., Mortensen, J. J., Blomqvist, J., Castelli, I. E., Christensen, R., Dulak, M., Friis, J., Groves, M., Hammer, B., Hargus, C., Hermes, E., C. Jennings, P., Jensen, P. B., Kermode, J., Kitchin, J., Kolsbjerg, E., Kubal, J., Kaasbjerg, K., Lysgaard, S., ... Jacobsen, K. W. (2017). The Atomic Simulation Environment - A Python library for working with atoms. Journal of Physics: Condensed Matter, 29, [273002]. https://doi.org/10.1088/1361-648X/aa680e General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Users may download and print one copy of any publication from the public portal for the purpose of private study or research. You may not further distribute the material or use it for any profit-making activity or commercial gain You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. -
The JEFF-3.1.1 Nuclear Data Library
Data Bank ISBN 978-92-64-99074-6 The JEFF-3.1.1 Nuclear Data Library JEFF Report 22 Validation Results from JEF-2.2 to JEFF-3.1.1 A. Santamarina, D. Bernard, P. Blaise, M. Coste, A. Courcelle, T.D. Huynh, C. Jouanne, P. Leconte, O. Litaize, S. Mengelle, G. Noguère, J-M. Ruggiéri, O. Sérot, J. Tommasi, C. Vaglio, J-F. Vidal Edited by A. Santamarina, D. Bernard, Y. Rugama © OECD 2009 NEA No. 6807 NUCLEAR ENERGY AGENCY Organisation for Economic Co-operation and Development ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT The OECD is a unique forum where the governments of 30 democracies work together to address the economic, social and environmental challenges of globalisation. The OECD is also at the forefront of efforts to understand and to help governments respond to new developments and concerns, such as corporate governance, the information economy and the challenges of an ageing population. The Organisation provides a setting where governments can compare policy experiences, seek answers to common problems, identify good practice and work to co-ordinate domestic and international policies. The OECD member countries are: Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, Mexico, the Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. The Commission of the European Communities takes part in the work of the OECD. OECD Publishing disseminates widely the results of the Organisation’s statistics gathering and research on economic, social and environmental issues, as well as the conventions, guidelines and standards agreed by its members. -
Normas-ML: Supporting the Modeling of Normative Multi-Agent
49 2019 8 4 ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal. Vol. 8 N. 4 (2019), 49-81 ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal Regular Issue, Vol. 8 N. 4 (2019), 49-81 eISSN: 2255-2863 DOI: http://dx.doi.org/10.14201/ADCAIJ2019844981 NorMAS-ML: Supporting the Modeling of Normative Multi-agent Systems Emmanuel Sávio Silva Freirea, Mariela Inés Cortésb, Robert Marinho da Rocha Júniorb, Enyo José Tavares Gonçalvesc, and Gustavo Augusto Campos de Limab aTeaching Department, Federal Institute of Ceará, Morada Nova, Brazil bComputer Science Department, State University of Ceará, Fortaleza, Brazil cComputer Science Department, Federal University of Ceará, Quixadá, Brazil [email protected], [email protected], [email protected], [email protected], [email protected] KEYWORD ABSTRACT Normative Multi- Context: A normative multi-agent system (NMAS) is composed of agents that their be- agent System; havior is regulated by norms. The modeling of those elements (agents and norms) togeth- Norms; Modeling er at design time can be a good way for a complete understanding of their structure and Language; behavior. Multi-agent system modeling language (MAS-ML) supports the representation NorMAS-ML of NMAS entities, but the support for concepts related to norms is somewhat limited. MAS-ML is founded in taming agents and objects (TAO) framework and has a support tool called the MAS-ML tool. Goal: The present work aims to present a UML-based modeling language called normative multi-agent system (NorMAS-ML) able to model the MAS main entities along with the static normative elements. -
Overview of Nuclear Data
Overview of Nuclear Data Michal Herman National Nuclear Data Center Brookhaven National Laboratory Nuclear Data Program Link between basic science and applications Nuclear Science Community ✦ experiments Eur. Phys.✦ J.theory A (2012) 48:113 Page 11 of 39 10Nuclear2 Data Application Cross section (barn) 10Community Community ✦ natural needs data: compilationLu(n,γ) @ DANCE 1 ENDF/B−VII.0 SAMMY7.0 broadened and fitted 10−1 1 10 102 ✦ ✦ evaluation Neutron energy (eV) complete Fig. 15. Cross-section for the 175Lu(n, γ) reaction measured with a natural Lutetium sample in the resolved resonance ✦ organized ✦range.archival 176Lu(n,γ) @ DANCE ✦ 104 ENDF/B−VII.0 SAMMY7 broadened and fitted traceable DANCE detector ✦ dissemination 103 ✦ readable LANSCE Cross section (barn) 102 Fig. 14. The DANCE detector (picture credits: LANSCE-NSM. Herman Berkeley, May 27-19, 2015 LA-UR-0802953). 10 1 processed into physical quantities, like the total γ cascade 10−1 1 10 102 energy, γ multiplicity, individual gamma ray energies, and Neutron energy (eV) neutron time of flight. After analysis of these data and sev- 176 eral corrections (calibration, dead time correction, back- Fig. 16. Cross-section for the Lu(n, γ)reactioninthere- solved resonance range. ground subtraction) the neutron radiative capture cross- section σ(n,γ)(En) is obtained. Results are presented here 176 2 Lu(n,γ) @ DANCE for three energy ranges: i) thermal energy, ii) resolved res- 10 onance region, and iii) above 1 keV in the unresolved res- ENDF/B−VII.0 onance region. K. Wisshak et al, 2006 H. Beer et al, 1984 i) For an incident neutron energy of 0.025 eV, the mea- BRC sured cross-sections for 175Lu(n, γ)and176Lu(n, γ), are in Cross section (barn) good agreement with published values [64] while improv- 10 ing their precisions. -
Nuclear Data: Serving Basic Needs of Science and Technology an Overview of the IAEA's International Nuclear Data Centre by Alex Lorenz and Joseph J
Information services for development Nuclear data: Serving basic needs of science and technology An overview of the IAEA's international nuclear data centre by Alex Lorenz and Joseph J. Schmidt In today's world, the transfer and spread of informa- number and sophistication of requests for information tion implies the systematic collection, classification, have increased considerably. As of now, scientists in storage, retrieval, and dissemination of knowledge with more than 70 Member States have received IAEA the essential use of computers. nuclear data services. The number of requests received To be able to take best advantage of information tech- annually by the IAEA Nuclear Data Section has doubled nology that has been developing over the last decades, over the last 5 years. Several developing Member States scientific knowledge has to be reduced to concentrated in the last few years have started development of nuclear factual statements or data. Today, the volume of infor- power and fuel cycle technologies. Many more have mation published prevents anyone from being fully become increasingly motivated to introduce nuclear informed in his or her own field, not to speak of keeping techniques entailing the use of nuclear radiations and up with developments in other fields. Consequently, it isotopes in science and industry. has become necessary to supplement conventionally These developments have put an ever-increasing published information (such as books, journals, and demand on the IAEA to provide a growing number of reports) kept in libraries with condensed information, users with an extensive amount of up-to-date nuclear amenable to computer processing and presented to users data, and the required computer codes for processing in easily accessible and conveniently utilized form. -
Session 3 15
Proceedings of CGAMES’2006 8th International Conference on Computer Games: Artificial Intelligence and Mobile Systems 24-27 July 2006 Hosted by Galt House Hotel Louisville, Kentucky, USA Organised by University of Wolverhampton in association with University of Louisville and IEEE Computer Society Society for Modelling and Simulation (SCS-Europe) Institution of Electrical Engineers (IEE) British Computer Society (BCS) Digital Games Research Association (DiGRA) International Journal of Intelligent Games and Simulation (IJIGS) Edited by: Quasim Mehdi Guest Editor: Adel Elmaghraby Published by The University of Wolverhampton School of Computing and Information Technology Printed in Wolverhampton, UK ©2006 The University of Wolverhampton Responsibility for the accuracy of all material appearing in the papers is the responsibility of the authors alone. Statements are not necessarily endorsed by the University of Wolverhampton, members of the Programme Committee or associated organisations. Permission is granted to photocopy the abstracts and other portions of this publication for personal use and for the use of students providing that credit is given to the conference and publication. Permission does not extend to other types of reproduction nor to copying for use in any profit-making purposes. Other publications are encouraged to include 300-500 word abstracts or excerpts from any paper, provided credits are given to the author, conference and publication. For permission to publish a complete paper contact Quasim Mehdi, SCIT, University of Wolverhampton, Wulfruna Street, Wolverhampton, WV1 1SB, UK, [email protected]. All author contact information in these Proceedings is covered by the European Privacy Law and may not be used in any form, written or electronic without the explicit written permission of the author and/or the publisher. -
In Dc International Nuclear Data Committee
International Atomic Energy Agency INDC(CCP)-326/L+F I N DC INTERNATIONAL NUCLEAR DATA COMMITTEE NUCLEAR PHYSICS CONSTANTS FOR THERMONUCLEAR FUSION A Reference Handbook S.N. Abramovich, B.Ya. Guzhovskij, V.A. Zherebtsov, A.G. Zvenigorodskij CENTRAL SCIENTIFIC RESEARCH INSTITUTE ON INFORMATION AND TECHNO-ECONOMIC RESEARCH ON ATOMIC SCIENCE AND TECHNOLOGY STATE COMMITTEE ON THE UTILIZATION OF ATOMIC ENERGY OF THE USSR Moscow - 1989 Translated by A. Lorenz for the International Atomic Energy Agency March 1991 IAEA NUCLEAR DATA SECTION, WAG RAMERSTRASSE 5, A-1400 VIENNA INDC«XP)-326/L+F NUCLEAR PHYSICS CONSTANTS FOR THERMONUCLEAR FUSION A Reference Handbook S.N. Abramovich, B.Ya. Guzhovskij, V.A. Zherebtsov, A.G. Zvenigorodskij CENTRAL SCIENTIFIC RESEARCH INSTITUTE ON INFORMATION AND TECHNO-ECONOMIC RESEARCH ON ATOMIC SCIENCE AND TECHNOLOGY STATE COMMITTEE ON THE UTILIZATION OF ATOMIC ENERGY OF THE USSR Moscow - 1989 Translated by A. Lorenz for the International Atomic Energy Agency March 1991 Reproduced by the IAEA in Austria March 1991 91-01324 PREFACE TsNII-ATOMINFORM presents a reference handbook on 'Nuclear-Physics Constants for Thermonuclear Fusion" UDK 539.17 Light nuclei reactions are required for a number of practical applica- tions: they are used extensively in nuclear physics research as neutron sources, and as standards for the normalization of absolute reaction cross-sections. Nuclear reactions with light nuclei are useful in non-destructive testing and in the determination of isotopic compositions when other analytical methods are not adequate for obtaining the required information. The information presented in this handbook consists of nuclear reaction cross-sections and scattering cross-sections for the interaction of hydrogen and helium isotopes with nuclei of Z < 5. -
Comparative Analysis of Heuristic Algorithms for Solving Multiextremal Problems
International Journal on Advances in Systems and Measurements, vol 10 no 1 & 2, year 2017, http://www.iariajournals.org/systems_and_measurements/ 86 Comparative Analysis of Heuristic Algorithms for Solving Multiextremal Problems Rudolf Neydorf, Ivan Chernogorov, Victor Polyakh Dean Vucinic Orkhan Yarakhmedov, Yulia Goncharova Vesalius College Department of Software Computer Technology and Vrije Universiteit Brussel Automated Systems and Department of Scientific- Brussels, Belgium Technical Translation and Professional Communication Don State Technical University Email: [email protected] Rostov-on-Don, Russia Email: [email protected], [email protected], [email protected], [email protected], [email protected] Abstract—In this paper, 3 of the most popular search Many modern practical optimization problems are optimization algorithms are applied to study the multi- inherently complicated by counterpoint criterion extremal problems, which are more extensive and complex requirements of the involved optimized object. The expected than the single-extremal problems. This study has shown that result - the global optimum - for the selected criteria is not only the heuristic algorithms can provide an effective solution always the best solution to consider, because it incorporate to solve the multiextremal problems. Among the large group of many additional criteria and restrictions. It is well known available algorithms, the 3 methods have demonstrated the that such situations arise in the design of complex best performance, which are: (1) particles swarming modelling technological systems when solving transportation and method, (2) evolutionary-genetic extrema selection and (3) logistics problems among many others. In addition, many search technique based on the ant colony method. The objects in their technical and informational nature are prone previous comparison study, where these approaches have been applied to an overall test environment with the multiextremal to multi-extreme property.