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Erratum: Search for new phenomena in final states with large jet multiplicities and missing transverse momentum at = 8 TeV proton-proton collisions using the ATLAS experiment

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Journal of High Energy Physics 2014年第1期2014卷 1-18页

作者： G. Aad T. Abajyan B. Abbott J. Abdallah S. Abdel Khalek O. Abdinov R. Aben B. Abi M. Abolins O. S. AbouZeid H. Abramowicz H. Abreu Y. Abulaiti B. S. Acharya L. Adamczyk D. L. Adams T. N. Addy J. Adelman S. Adomeit T. Adye S. Aefsky T. Agatonovic-Jovin J. A. Aguilar-Saavedra M. Agustoni S. P. Ahlen A. Ahmad M. Ahsan G. Aielli T. P. A. Åkesson G. Akimoto A. V. Akimov M. A. Alam J. Albert S. Albrand M. J. Alconada Verzini M. Aleksa I. N. Aleksandrov F. Alessandria C. Alexa G. Alexander G. Alexandre T. Alexopoulos M. Alhroob M. Aliev G. Alimonti L. Alio J. Alison B. M. M. Allbrooke L. J. Allison P. P. Allport S. E. Allwood-Spiers J. Almond A. Aloisio R. Alon A. Alonso F. Alonso A. Altheimer B. Alvarez Gonzalez M. G. Alviggi K. Amako Y. Amaral Coutinho C. Amelung V. V. Ammosov S. P. Amor Dos Santos A. Amorim S. Amoroso N. Amram C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders K. J. Anderson A. Andreazza V. Andrei X. S. Anduaga S. Angelidakis P. Anger A. Angerami F. Anghinolfi A. V. Anisenkov N. Anjos A. Annovi A. Antonaki M. Antonelli A. Antonov J. Antos F. Anulli M. Aoki L. Aperio Bella R. Apolle G. Arabidze I. Aracena Y. Arai A. T. H. Arce S. Arfaoui J.-F. Arguin S. Argyropoulos E. Arik M. Arik A. J. Armbruster O. Arnaez V. Arnal O. Arslan A. Artamonov G. Artoni D. Arutinov S. Asai N. Asbah S. Ask B. Åsman L. Asquith K. Assamagan R. Astalos A. Astbury M. Atkinson N. B. Atlay B. Auerbach E. Auge K. Augsten M. Aurousseau G. Avolio D. Axen G. Azuelos Y. Azuma M. A. Baak C. Bacci A. M. Bach H. Bachacou K. Bachas M. Backes M. Backhaus J. Backus Mayes E. Badescu P. Bagiacchi P. Bagnaia Y. Bai D. C. Bailey T. Bain J. T. Baines O. K. Baker S. Baker P. Balek F. Balli E. Banas Sw. Banerjee D. Banfi A. Bangert V. Bansal H. S. Bansil L. Barak S. P. Baranov T. Barber E. L. Barberio D. Barberis M. Barbero D. Y. Bardin T. Barillari M. Barisonzi T. Barklow N. Barlow B. M. Barnett R. M. Barnett A. Baroncelli G. Barone A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa R. Bartoldus A. E. Barton V. Bartsch A. B Fakultät für Mathematik und Physik Albert-Ludwigs-Universität Freiburg Germany Physikalisches Institut University of Bonn Bonn Germany Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman United States of America Institut de Física d’Altes Energies and Departament de Física de la Universitat Autònoma de Barcelona Barcelona Spain LAL Université Paris-Sud and CNRS/IN2P3 Orsay France Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam Netherlands Department of Physics Oklahoma State University Stillwater United States of America Department of Physics and Astronomy Michigan State University East Lansing United States of America Department of Physics University of Toronto Toronto Canada Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel DSM/IRFU (Institut de Recherches sur les Lois Fondamentales de l’Univers) CEA Saclay (Commissariat à l’Energie Atomique et aux Energies Alternatives) Gif-sur-Yvette France Department of Physics Stockholm University Stockholm Sweden INFN Gruppo Collegato di Udine Udine Italy Department of Physics King’s College London London United Kingdom AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Physics Department Brookhaven National Laboratory Upton United States of America Department of Physics Hampton University Hampton United States of America Department of Physics Yale University New Haven United States of America Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Department of Physics Brandeis University Waltham United States of America Vinca Institute of Nuclear Sciences University of Belgrade Belgrade Serbia Laboratorio de Instrumentacao e Fisica Experimental de Particulas - LIP Lisboa Portug

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The reduced basis element method: Offline-online decomposition in the nonconforming, nonaffine case

The reduced basis element method: Offline-online decompositi...

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8th International Conference on Spectral and High Order Methods, ICOSAHOM'09

作者： Løvgren, A.E. Maday, Y. Rønquist, E.M. Center for Biomedical Computing Simula Research Laboratory P.O. Box 134 Lysaker 1325 Norway Laboratoire J.-L. Lions Université Pierre et Marie Curie-Paris6 UMR 7598 Paris 75005 France Division of Applied Mathematics Brown University 182 George Street Providence RI 02912 United States Department of Mathematical Sciences Norwegian University of Science and Technology Trondheim 7491 Norway

ISBN: (纸本)9783642153365

This work focuses on the reduced basis element method applied to the steady Stokes problem with geometric parameter dependence [2, 4]. We present a decoupling of the operators involved in the steady Stokes problem, which together with empirical interpolation [1] allows for complete separation of the offline-online complexity for the nonaffine case. We present numerical results from a hierarchical flow system in two dimensions, where both pipes and bifurcations are used as building blocks. © 2011 Springer.

关键词： Navier Stokes equations

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The spectral element method used to assess the quality of a global C 1 map

The spectral element method used to assess the quality of a ...

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8th International Conference on Spectral and High Order Methods, ICOSAHOM'09

作者： Løvgren, A.E. Maday, Y. Rønquist, E.M. Center for Biomedical Computing Simula Research Laboratory P.O. Box 134 Lysaker 1325 Norway Laboratoire J.-L. Lions Université Pierre et Marie Curie-Paris6 UMR 7598 Paris F-75005 France Division of Applied Mathematics Brown University 182 George Street Providence RI 02912 United States Department of Mathematical Sciences Norwegian University of Science and Technology Trondheim 7491 Norway

ISBN: (纸本)9783642153365

In this work we focus on C 1 maps from a reference domain to a family of deformed domains. The regularity of a map affects the approximation properties of the mapped mesh, and we use the regularity as a measure of the quality of the mesh. To compare the regularities of different maps we consider the convergence of the spectral element method when a Laplace problem is solved on the resulting meshes. © 2011 Springer.

关键词： Mesh generation

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Machine learning based online performance prediction for runtime parallelization and task scheduling

Machine learning based online performance prediction for run...

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International Symposium on Performance Analysis of Systems and Software, ISPASS 2009

作者： Li, Jiangtian Ma, Xiaosong Singh, Karan Schulz, Martin De Supinski, Bronis McKee, Sally A. Dept. of Computer Science North Carolina State University Raleigh NC 27606 United States Computer Science and Mathematics Division Oak Ridge National Laboratory Oak Ridge TN 37831 United States Computer Systems Laboratory Cornell University Ithaca NY 14850 United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore CA 94550 United States Department of Computer Science and Engineering Chalmers University of Technology Göteborg Sweden

ISBN: (纸本)9781424441846

With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as well as developing next-generation software requires assistance from hardware, compilers and runtime systems to exploit parallelism transparently within applications. These systems must decompose applications into tasks that can be executed in parallel and then schedule those tasks to minimize load imbalance. However, many systems lack a priori knowledge about the execution time of all tasks to perform effective load balancing with low scheduling overhead. In this paper, we approach this fundamental problem using machine learning techniques first to generate performance models for all tasks and then applying those models to perform automatic performance prediction across program executions. We also extend an existing scheduling algorithm to use generated task cost estimates for online task partitioning and scheduling. We implement the above techniques in the pR framework, which transparently parallelizes scripts in the popular R language, and evaluate their performance and overhead with both a realworld application and a large number of synthetic representative test scripts. Our experimental results show that our proposed approach significantly improves task partitioning and scheduling, with maximum improvements of 21.8%, 40.3% and 22.1% and average improvements of 15.9%, 16.9% and 4.2% for LMM (a real R application) and synthetic test cases with independent and dependent tasks, respectively. © 2009 IEEE.

关键词： Scheduling algorithms

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Design and development of a simulator for the Brazilian Data Collecting System based on satellites

Design and development of a simulator for the Brazilian Data...

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Simulation Winter Conference

作者： Germano Kienbaum Felipe Miranda Helcio Vieira Joaquim Barreto Marcus Cisotto Wanderson Almeida Associated Laboratory of Computing and Applied Mathematics National Space Research Institute Sao Jose dos Campos Brazil Technological Institute of Aeronautics General-Command for Aerospace Technology Sao Jose dos Campos Brazil Ground Segment Division National Space Research Institute Sao Jose dos Campos Brazil

This work describes an ongoing project, aiming at the development of a complete simulation study of the Brazilian Data Collecting System based on Satellites (SBCD). The SBCD system comprehends a spatial and a ground segment and it was built for automatic acquisition of data of meteorological and hydrological nature for use in environmental and business applications. The main objective of the project is to build a simulator for conducting a thorough analysis of the system, in order to assess its performance, to determine its best configuration and boundary conditions, and to optimize its operational cost and efficiency, in regard to different configurations and operating scenarios.

关键词： Satellites Analytical models Space technology Predictive models Cost function Data communication Virtual prototyping Computational modeling Aerospace simulation Performance analysis

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Machine learning based online performance prediction for runtime parallelization and task scheduling

Machine learning based online performance prediction for run...

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IEEE International Symposium on Performance Analysis of Systems and Software

作者： Jiangtian Li Xiaosong Ma Karan Singh Martin Schulz Bronis R. de Supinski Sally A. McKee Department of Computer Science North Carolina State University Raleigh NC USA Computer Science and Mathematics Division Oak Ridge National Laboratory Oak Ridge TN USA Computer Systems Laboratory Cornell University Ithaca NY USA Center of Applied Scientific Computing Lawrence Livemore National Laboratory Livermore CA USA Department of Computer Science and Engineering Chalmers University of Technology Goteborg Sweden

ISBN: (纸本)9781424441853

With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as well as developing next-generation software requires assistance from hardware, compilers and runtime systems to exploit parallelism transparently within applications. These systems must decompose applications into tasks that can be executed in parallel and then schedule those tasks to minimize load imbalance. However, many systems lack a priori knowledge about the execution time of all tasks to perform effective load balancing with low scheduling overhead. In this paper, we approach this fundamental problem using machine learning techniques first to generate performance models for all tasks and then applying those models to perform automatic performance prediction across program executions. We also extend an existing scheduling algorithm to use generated task cost estimates for online task partitioning and scheduling. We implement the above techniques in the pR framework, which transparently parallelizes scripts in the popular R language, and evaluate their performance and overhead with both a real-world application and a large number of synthetic representative test scripts. Our experimental results show that our proposed approach significantly improves task partitioning and scheduling, with maximum improvements of 21.8%, 40.3% and 22.1% and average improvements of 15.9%, 16.9% and 4.2% for LMM (a real R application) and synthetic test cases with independent and dependent tasks, respectively.

关键词： Machine learning Runtime Application software Predictive models Testing Parallel programming Hardware Load management Scheduling algorithm Costs

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Scaling to 150K cores: Recent algorithm and performance engineering developments enabling XGC1 to run at scale

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Journal of Physics: Conference Series 2009年第1期180卷

作者： Mark F Adams Seung-Hoe Ku Patrick Worley Ed D'Azevedo Julian C Cummings C-S Chang Department of Applied Physics and Applied Mathematics Columbia University Courant Institute of Mathematical Sciences New York University Computer Science and Mathematics Division Oak Ridge National Laboratory Center for Advanced Computing Research California Institute of Technology

Particle-in-cell (PIC) methods have proven to be effective in discretizing the Vlasov-Maxwell system of equations describing the core of toroidal burning plasmas for many decades. Recent physical understanding of the importance of edge physics for stability and transport in tokamaks has lead to development of the first fully toroidal edge PIC code – XGC1. The edge region poses special problems in meshing for PIC methods due to the lack of closed flux surfaces, which makes field-line following meshes and coordinate systems problematic. We present a solution to this problem with a semi-field line following mesh method in a cylindrical coordinate system. Additionally, modern supercomputers require highly concurrent algorithms and implementations, with all levels of the memory hierarchy being efficiently utilized to realize optimal code performance. This paper presents a mesh and particle partitioning method, suitable to our meshing strategy, for use on highly concurrent cache-based computing platforms.

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Semiclassical theory of molecular nonsequential double ionization

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Physical Review A 2007年第1期76卷 013418-013418页

作者： J. Chen J. Fan Y. Li S. P. Yang Institute of Applied Physics and Computational Mathematics P.O. Box 8009 (28) 100088 Beijing People’s Republic of China Department of Chemistry University of Kansas and Kansas Center for Advanced Scientific Computing Lawrence Kansas 66045 USA Optical Technology Division National Institute of Standards and Technology 100 Bureau Drive Gaithersburg Maryland 20899 USA Department of Physics Hebei Normal University Shijiazhuang 050016 People’s Republic of China

A semiclassical molecular nonsequential double ionization theory is developed based on the rescattering model. We show that, in the nonsequential double ionization of D2, the kinetic energy of the returning electron changes from below to above the ionization threshold of the parent ion as the laser varies from short to long wavelength, resulting in the dominance of collisional ionization at shorter laser wavelength and field ionization at longer laser wavelength. We also calculate the double ionization time distribution of D2 and the kinetic energy distribution of D+. The theoretical results are qualitatively consistent with experimental measurements. The nonsequential double to single ionization ratio of N22+∕N2+ is also calculated and compared with available experimental results.

关键词： STRONG LASER FIELDS MOMENTUM DISTRIBUTIONS HARMONIC-GENERATION DYNAMICS HELIUM SINGLE IONS

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Parallel PDE-based simulations using the common component architecture

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Lecture Notes in Computational Science and Engineering 2006年 51卷 327-381页

作者： McInnes, Lois Curfman Allan, Benjamin A. Armstrong, Robert Benson, Steven J. Bernholdt, David E. Dahlgren, Tamara L. Diachin, Lori Freitag Krishnan, Manojkumar Kohl, James A. Walter Larson, J. Lefantzi, Sophia Nieplocha, Jarek Norris, Boyana Parker, Steven G. Ray, Jaideep Zhou, Shujia Mathematics and Computer Science Division Argonne National Laboratory Argonne IL United States Livermore CA United States Computer Science and Mathematics Division Oak Ridge National Laboratory Oak Ridge TN United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore CA United States Computational Sciences and Mathematics Pacific Northwest National Laboratory Richland WA United States Reacting Flow Research SNL Livermore CA United States Scientific Computing and Imaging Institute University of Utah Salt Lake City UT United States Advanced Software R and D SNL Livermore CA United States Northrop Grumman Corporation Information Technology Sector Chantilly VA United States

ISBN: (纸本)9783540290766

The complexity of parallel PDE-based simulations continues to increase as multimodel, multiphysics, and multi-institutional projects become widespread. A goal of component - based software engineering in such large-scale simulations is to help manage this complexity by enabling better interoperability among various codes that have been independently developed by different groups. The Common Component Architecture (CCA) Forum is defining a component architecture specification to address the challenges of high-performance scientific computing. In addition, several execution frameworks, supporting infrastructure, and general-purpose components are being developed. Furthermore, this group is collaborating with others in the high-performance computing community to design suites of domain-specific component interface specifications and underlying implementations. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Multiphysics

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On the queueing behavior of multiple first-order autoregressive sources

On the queueing behavior of multiple first-order autoregress...

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IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)

作者： Gang Uk Hwan K. Sohraby Div. of Appl. Math. Korea Adv. Inst. of Sci. & Technol. Taejeon South Korea School of Computing and Engineering Department of Computer Science and Electrical Engineering University of Missouri Kansas City Kansas City MO USA Division of Applied Mathematics Korea Advanced Institute of Science and Technology Yuseong-gu Taejeon South Korea

It is generally believed that the queueing behavior of an arrival process is most sensitive to its first and second order statistics. In this paper, we show that this is not generally true. We consider the queueing behavior of two classes of sources. The first class is the superposition of multiple discrete autoregressive sources of order 1 (referred to as DAR(1) sources), and the second class is a single DAR(1) source having the same first and second order statistics as the superposed source. In particular, we show that in the homogeneous case, the mean queue lengths of the two models are identical, but the queue length variances of the two models are significantly different depending on the correlation of individual sources.

关键词： Random variables Cities and towns Statistics Mathematical model Equations mathematics Computer science Teleconferencing Traffic control Steady-state

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