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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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Connector faculty: A friendly face for early engineering students

Connector faculty: A friendly face for early engineering stu...

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2009 ASEE Annual Conference and Exposition

作者： Briedis, Daina Buch, Neeraj Collins-Eaglin, Jan Ehrlich, Nathaniel Fleming, Denise Hinds, Timothy Sticklen, Jon Urban-Lurain, Mark Wolff, Thomas Department of Chemical Engineering and Materials Science Michigan State University United States Department of Civil and Environmental Engineering Michigan State University United States Cornerstone Engineering and Residential Experience Program Michigan State University United States Michigan State University United States United States College of Engineering Michigan State University United States Michigan State University College of Engineering Undergraduate Studies Department of Mechanical Engineering United States Applied Engineering Sciences College of Engineering Michigan State University United States Computer Science and Engineering Department Michigan State University United States Division of Science and Mathematics Education College of Natural Science Michigan State University United States Engineering for Undergraduate Studies Michigan State University United States

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Search for Diphoton Events with Large Missing Transverse Energy in 7 TeV Proton-Proton Collisions with the ATLAS Detector

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Physical Review Letters 2011年第12期106卷 121803-121803页

作者： G. Aad B. Abbott J. Abdallah A. A. Abdelalim A. Abdesselam O. Abdinov B. Abi M. Abolins H. Abramowicz H. Abreu E. Acerbi B. S. Acharya M. Ackers D. L. Adams T. N. Addy J. Adelman M. Aderholz S. Adomeit P. Adragna T. Adye S. Aefsky J. A. Aguilar-Saavedra M. Aharrouche S. P. Ahlen F. Ahles A. Ahmad M. Ahsan G. Aielli T. Akdogan T. P. A. Åkesson G. Akimoto A. V. Akimov M. S. Alam M. A. Alam S. Albrand M. Aleksa I. N. Aleksandrov M. Aleppo F. Alessandria C. Alexa G. Alexander G. Alexandre T. Alexopoulos M. Alhroob M. Aliev G. Alimonti J. Alison M. Aliyev P. P. Allport S. E. Allwood-Spiers J. Almond A. Aloisio R. Alon A. Alonso J. Alonso M. G. Alviggi K. Amako P. Amaral C. Amelung V. V. Ammosov A. Amorim G. Amorós N. Amram C. Anastopoulos T. Andeen C. F. Anders K. J. Anderson A. Andreazza V. Andrei M-L. Andrieux X. S. Anduaga A. Angerami F. Anghinolfi N. Anjos A. Annovi A. Antonaki M. Antonelli S. Antonelli J. Antos F. Anulli S. Aoun L. Aperio Bella R. Apolle G. Arabidze I. Aracena Y. Arai A. T. H. Arce J. P. Archambault S. Arfaoui J-F. Arguin E. Arik M. Arik A. J. Armbruster K. E. Arms S. R. Armstrong O. Arnaez C. Arnault A. Artamonov G. Artoni D. Arutinov S. Asai R. Asfandiyarov S. Ask B. Åsman L. Asquith K. Assamagan A. Astbury A. Astvatsatourov G. Atoian B. Aubert B. Auerbach E. Auge K. Augsten M. Aurousseau N. Austin R. Avramidou D. Axen C. Ay G. Azuelos Y. Azuma M. A. Baak G. Baccaglioni C. Bacci A. M. Bach H. Bachacou K. Bachas G. Bachy M. Backes E. Badescu P. Bagnaia S. Bahinipati Y. Bai D. C. Bailey T. Bain J. T. Baines O. K. Baker S. Baker F. Baltasar Dos Santos Pedrosa E. Banas P. Banerjee Sw. Banerjee D. Banfi A. Bangert V. Bansal H. S. Bansil L. Barak S. P. Baranov A. Barashkou A. Barbaro Galtieri 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 A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa P. Barrillon R. Bartoldus A. E. Barton D. Bartsch R. L. Bates L. Batkova J. R. Batley A. Battaglia M. Battist Albert-Ludwigs-Universität Fakultät für Mathematik und Physik Hermann-Herder Str. 3 D - 79104 Freiburg i.Br. Germany University of Oklahoma Homer L. Dodge Department of Physics and Astronomy 440 West Brooks Room 100 Norman Oklahoma 73019-0225 USA Institut de Física d’Altes Energies IFAE Edifici Cn Universitat Autònoma de Barcelona ES - 08193 Bellaterra (Barcelona) Spain Université de Genève Section de Physique 24 rue Ernest Ansermet CH - 1211 Geneve 4 Switzerland Oxford University Department of Physics Denys Wilkinson Building Keble Road Oxford OX1 3RH United Kingdom Institute of Physics Azerbaijan Academy of Sciences H. Javid Avenue 33 AZ 143 Baku Azerbaijan Oklahoma State University Department of Physics 145 Physical Sciences Building Stillwater Oklahoma 74078-3072 USA Michigan State University Department of Physics and Astronomy High Energy Physics Group East Lansing Michigan 48824-2320 USA Tel Aviv University Raymond and Beverly Sackler School of Physics and Astronomy Ramat Aviv IL - Tel Aviv 69978 Israel LAL Université Paris-Sud IN2P3/CNRS Orsay France INFN Sezione di Milano Milano Italy Università di Milano Dipartimento di Fisica via Celoria 16 IT - 20133 Milano Italy INFN Gruppo Collegato di Udine Udine Italy ICTP Strada Costiera 11 IT-34014 Trieste Italy University of Bonn Physikalisches Institut Nussallee 12 D - 53115 Bonn Germany Brookhaven National Laboratory Physics Department Building 510A Upton New York 11973 USA Hampton University Department of Physics Hampton Virginia 23668 USA Yale University Department of Physics PO Box 208121 New Haven Connecticut 06520-8121 USA Max-Planck-Institut für Physik (Werner-Heisenberg-Institut) Föhringer Ring 6 80805 München Germany Ludwig-Maximilians-Universität München Fakultät für Physik Am Coulombwall 1 DE - 85748 Garching Germany Queen Mary University of London Department of Physics Mile End Road London E1 4NS United Kingdom Rutherford Appleton Laboratory Science and Technolo

A search for diphoton events with large missing transverse energy is presented. The data were collected with the ATLAS detector in proton-proton collisions at s=7 TeV at the CERN Large Hadron Collider and correspond to an integrated luminosity of 3.1 pb−1. No excess of such events is observed above the standard model background prediction. In the context of a specific model with one universal extra dimension with compactification radius R and gravity-induced decays, values of 1/R<729 GeV are excluded at 95% C. L., providing the most sensitive limit on this model to date.

关键词： Tellurium compounds

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An assessment database for supporting educational research

An assessment database for supporting educational research

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Frontiers in Education (FIE) Conference

作者： Mark Urban-Lurain Diane Ebert-May Jennifer Momsen Ryan McFall Matthew B. Jones Ben Leinfelder Jon Sticklen Division of Science and Mathematics Education Michigan State University USA Department of Plant Biology Michigan State University USA Computer Science Department Hope College USA National Center for Ecological Analysis and Synthesis USA Applied Engineering Sciences College of Engineering Michigan State University USA

One of the challenges of research in science education is storing, managing and querying the large amounts of diverse student assessment data that are typically collected in many science, technology, engineering and mathematics (STEM) courses. Furthermore, longitudinal studies across courses and ABET accreditation necessitate tracking students throughout their academic programs in which each course will have different types of data. Researchers need to manage, assign metadata to, merge, sort, and query all of these data to support instructional decisions, research and accreditation. To address these needs we have constructed a database to support both data-driven instructional decision making and research in STEM education. We have built upon existing metadata standards to define an extensible educational metadata language (EdML) that enables assessments to be tagged based on taxonomies, standard psychometrics such as difficulty and discrimination, and other data to facilitate cross-study analyses. Once a collection of assessment data are available, faculty can examine their assessment data to evaluate historical trends, analyze the effectiveness of pedagogical techniques and strategies, or compare the performance of different teaching and assessment techniques within their course or across institutions.

关键词： Databases Accreditation Educational programs Technology management Engineering management Educational technology Data engineering mathematics Decision making Taxonomy

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Measurement of the inclusive isolated prompt photon cross section in pp collisions at s=7 TeV with the ATLAS detector

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Physical Review D 2011年第5期83卷 052005-052005页

作者： G. Aad B. Abbott J. Abdallah A. A. Abdelalim A. Abdesselam O. Abdinov B. Abi M. Abolins H. Abramowicz H. Abreu E. Acerbi B. S. Acharya M. Ackers D. L. Adams T. N. Addy J. Adelman M. Aderholz S. Adomeit P. Adragna T. Adye S. Aefsky J. A. Aguilar-Saavedra M. Aharrouche S. P. Ahlen F. Ahles A. Ahmad M. Ahsan G. Aielli T. Akdogan T. P. A. Åkesson G. Akimoto A. V. Akimov M. S. Alam M. A. Alam S. Albrand M. Aleksa I. N. Aleksandrov M. Aleppo F. Alessandria C. Alexa G. Alexander G. Alexandre T. Alexopoulos M. Alhroob M. Aliev G. Alimonti J. Alison M. Aliyev P. P. Allport S. E. Allwood-Spiers J. Almond A. Aloisio R. Alon A. Alonso J. Alonso M. G. Alviggi K. Amako P. Amaral C. Amelung V. V. Ammosov A. Amorim G. Amorós N. Amram C. Anastopoulos N. Andari T. Andeen C. F. Anders K. J. Anderson A. Andreazza V. Andrei M-L. Andrieux X. S. Anduaga A. Angerami F. Anghinolfi N. Anjos A. Annovi A. Antonaki M. Antonelli S. Antonelli J. Antos F. Anulli S. Aoun L. Aperio Bella R. Apolle G. Arabidze I. Aracena Y. Arai A. T. H. Arce J. P. Archambault S. Arfaoui J-F. Arguin E. Arik M. Arik A. J. Armbruster K. E. Arms S. R. Armstrong O. Arnaez C. Arnault A. Artamonov G. Artoni D. Arutinov S. Asai R. Asfandiyarov S. Ask B. Åsman L. Asquith K. Assamagan A. Astbury A. Astvatsatourov G. Atoian B. Aubert B. Auerbach E. Auge K. Augsten M. Aurousseau N. Austin R. Avramidou D. Axen C. Ay G. Azuelos Y. Azuma M. A. Baak G. Baccaglioni C. Bacci A. M. Bach H. Bachacou K. Bachas G. Bachy M. Backes E. Badescu P. Bagnaia S. Bahinipati Y. Bai D. C. Bailey T. Bain J. T. Baines O. K. Baker S. Baker F. Baltasar Dos Santos Pedrosa E. Banas P. Banerjee Sw. Banerjee D. Banfi A. Bangert V. Bansal H. S. Bansil L. Barak S. P. Baranov A. Barashkou A. Barbaro Galtieri 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 A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa P. Barrillon R. Bartoldus A. E. Barton D. Bartsch R. L. Bates L. Batkova J. R. Batley A. Battaglia Albert-Ludwigs-Universität Fakultät für Mathematik und Physik Hermann-Herder Str. 3 D - 79104 Freiburg i.Br. Germany University of Oklahoma Homer L. Dodge Department of Physics and Astronomy 440 West Brooks Room 100 Norman Oklahoma 73019-0225 USA Institut de Física d’Altes Energies IFAE Edifici Cn Universitat Autònoma de Barcelona ES - 08193 Bellaterra (Barcelona) Spain Université de Genève Section de Physique 24 rue Ernest Ansermet CH - 1211 Geneve 4 Switzerland Oxford University Department of Physics Denys Wilkinson Building Keble Road Oxford OX1 3RH United Kingdom Institute of Physics Azerbaijan Academy of Sciences H. Javid Avenue 33 AZ 143 Baku Azerbaijan Oklahoma State University Department of Physics 145 Physical Sciences Building Stillwater Oklahoma 74078-3072 USA Michigan State University Department of Physics and Astronomy High Energy Physics Group East Lansing Michigan 48824-2320 USA Tel Aviv University Raymond and Beverly Sackler School of Physics and Astronomy Ramat Aviv IL - Tel Aviv 69978 Israel LAL Univ. Paris-Sud IN2P3/CNRS Orsay France INFN Sezione di Milano via Celoria 16 IT - 20133 Milano Italy Università di Milano Dipartimento di Fisica via Celoria 16 IT - 20133 Milano Italy INFN Gruppo Collegato di Udine Strada Costiera 11 IT-34014 Trieste Italy ICTP Strada Costiera 11 IT-34014 Trieste Italy University of Bonn Physikalisches Institut Nussallee 12 D - 53115 Bonn Germany Brookhaven National Laboratory Physics Department Building 510A Upton New York 11973 USA Hampton University Department of Physics Hampton Virginia 23668 USA Yale University Department of Physics PO Box 208121 New Haven Connecticut 06520-8121 USA Max-Planck-Institut für Physik (Werner-Heisenberg-Institut) Föhringer Ring 6 80805 München Germany Ludwig-Maximilians-Universität München Fakultät für Physik Am Coulombwall 1 DE - 85748 Garching Germany Queen Mary University of London Department of Physics Mile End Road London E1 4NS United Kingdo

A measurement of the cross section for the inclusive production of isolated prompt photons in pp collisions at a center-of-mass energy s=7 TeV is presented. The measurement covers the pseudorapidity ranges |ηγ|<1.37 and 1.52≤|ηγ|<1.81 in the transverse energy range 15≤ETγ<100 GeV. The results are based on an integrated luminosity of 880 nb−1, collected with the ATLAS detector at the Large Hadron Collider. Photon candidates are identified by combining information from the calorimeters and from the inner tracker. Residual background in the selected sample is estimated from data based on the observed distribution of the transverse isolation energy in a narrow cone around the photon candidate. The results are compared to predictions from next-to-leading-order perturbative QCD calculations.

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Study of jet shapes in inclusive jet production in pp collisions at s=7 TeV using the ATLAS detector

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Physical Review D 2011年第5期83卷 052003-052003页

作者： G. Aad B. Abbott J. Abdallah A. A. Abdelalim A. Abdesselam O. Abdinov B. Abi M. Abolins H. Abramowicz H. Abreu E. Acerbi B. S. Acharya M. Ackers D. L. Adams T. N. Addy J. Adelman M. Aderholz S. Adomeit P. Adragna T. Adye S. Aefsky J. A. Aguilar-Saavedra M. Aharrouche S. P. Ahlen F. Ahles A. Ahmad M. Ahsan G. Aielli T. Akdogan T. P. A. Åkesson G. Akimoto A. V. Akimov M. S. Alam M. A. Alam S. Albrand M. Aleksa I. N. Aleksandrov M. Aleppo F. Alessandria C. Alexa G. Alexander G. Alexandre T. Alexopoulos M. Alhroob M. Aliev G. Alimonti J. Alison M. Aliyev P. P. Allport S. E. Allwood-Spiers J. Almond A. Aloisio R. Alon A. Alonso J. Alonso M. G. Alviggi K. Amako P. Amaral C. Amelung V. V. Ammosov A. Amorim G. Amorós N. Amram C. Anastopoulos T. Andeen C. F. Anders K. J. Anderson A. Andreazza V. Andrei M-L. Andrieux X. S. Anduaga A. Angerami F. Anghinolfi N. Anjos A. Annovi A. Antonaki M. Antonelli S. Antonelli J. Antos F. Anulli S. Aoun L. Aperio Bella R. Apolle G. Arabidze I. Aracena Y. Arai A. T. H. Arce J. P. Archambault S. Arfaoui J-F. Arguin E. Arik M. Arik A. J. Armbruster K. E. Arms S. R. Armstrong O. Arnaez C. Arnault A. Artamonov G. Artoni D. Arutinov S. Asai R. Asfandiyarov S. Ask B. Åsman L. Asquith K. Assamagan A. Astbury A. Astvatsatourov G. Atoian B. Aubert B. Auerbach E. Auge K. Augsten M. Aurousseau N. Austin R. Avramidou D. Axen C. Ay G. Azuelos Y. Azuma M. A. Baak G. Baccaglioni C. Bacci A. M. Bach H. Bachacou K. Bachas G. Bachy M. Backes E. Badescu P. Bagnaia S. Bahinipati Y. Bai D. C. Bailey T. Bain J. T. Baines O. K. Baker S. Baker F. Baltasar Dos Santos Pedrosa E. Banas P. Banerjee Sw. Banerjee D. Banfi A. Bangert V. Bansal H. S. Bansil L. Barak S. P. Baranov A. Barashkou A. Barbaro Galtieri 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 A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa P. Barrillon R. Bartoldus A. E. Barton D. Bartsch R. L. Bates L. Batkova J. R. Batley A. Battaglia M. Battist Albert-Ludwigs-Universität Fakultät für Mathematik und Physik Hermann-Herder Str. 3 D - 79104 Freiburg i.Br. Germany University of Oklahoma Homer L. Dodge Department of Physics and Astronomy 440 West Brooks Room 100 Norman Oklahoma 73019-0225 USA Institut de Física d’Altes Energies IFAE Edifici Cn Universitat Autònoma de Barcelona ES - 08193 Bellaterra (Barcelona) Spain Université de Genève Section de Physique 24 rue Ernest Ansermet CH - 1211 Geneve 4 Switzerland Oxford University Department of Physics Denys Wilkinson Building Keble Road Oxford OX1 3RH United Kingdom Institute of Physics Azerbaijan Academy of Sciences H. Javid Avenue 33 AZ 143 Baku Azerbaijan Oklahoma State University Department of Physics 145 Physical Sciences Building Stillwater Oklahoma 74078-3072 USA Michigan State University Department of Physics and Astronomy High Energy Physics Group East Lansing Michigan 48824-2320 USA Tel Aviv University Raymond and Beverly Sackler School of Physics and Astronomy Ramat Aviv IL - Tel Aviv 69978 Israel LAL Université Paris-Sud IN2P3/CNRS Orsay France INFN Sezione di Milano via Celoria 16 IT - 20133 Milano Italy Università di Milano Dipartimento di Fisica via Celoria 16 IT - 20133 Milano Italy INFN Gruppo Collegato di Udine Strada Costiera 11 IT-34014 Trieste Italy ICTP Strada Costiera 11 IT-34014 Trieste Italy University of Bonn Physikalisches Institut Nussallee 12 D - 53115 Bonn Germany Brookhaven National Laboratory Physics Department Building 510A Upton New York 11973 USA Hampton University Department of Physics Hampton Virginia 23668 USA Yale University Department of Physics P.O. Box 208121 New Haven Connecticut 06520-8121 USA Max-Planck-Institut für Physik (Werner-Heisenberg-Institut) Föhringer Ring 6 80805 München Germany Ludwig-Maximilians-Universität München Fakultät für Physik Am Coulombwall 1 DE - 85748 Garching Germany Queen Mary University of London Department of Physics Mile End Road London E1 4NS United

Jet shapes have been measured in inclusive jet production in proton-proton collisions at s=7 TeV using 3 pb−1 of data recorded by the ATLAS experiment at the LHC. Jets are reconstructed using the anti-kt algorithm w...

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Measurement of underlying event characteristics using charged particles in pp collisions at s=900 GeV and 7 TeV with the ATLAS detector

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Physical Review D 2011年第11期83卷 112001-112001页

作者： G. Aad B. Abbott J. Abdallah A. A. Abdelalim A. Abdesselam O. Abdinov B. Abi M. Abolins H. Abramowicz H. Abreu E. Acerbi B. S. Acharya M. Ackers D. L. Adams T. N. Addy J. Adelman M. Aderholz S. Adomeit P. Adragna T. Adye S. Aefsky J. A. Aguilar-Saavedra M. Aharrouche S. P. Ahlen F. Ahles A. Ahmad H. Ahmed M. Ahsan G. Aielli T. Akdogan T. P. A. Åkesson G. Akimoto A. V. Akimov M. S. Alam M. A. Alam S. Albrand M. Aleksa I. N. Aleksandrov M. Aleppo F. Alessandria C. Alexa G. Alexander G. Alexandre T. Alexopoulos M. Alhroob M. Aliev G. Alimonti J. Alison M. Aliyev P. P. Allport S. E. Allwood-Spiers J. Almond A. Aloisio R. Alon A. Alonso J. Alonso M. G. Alviggi K. Amako P. Amaral C. Amelung V. V. Ammosov A. Amorim G. Amorós N. Amram C. Anastopoulos T. Andeen C. F. Anders K. J. Anderson A. Andreazza V. Andrei M-L. Andrieux X. S. Anduaga A. Angerami F. Anghinolfi N. Anjos A. Annovi A. Antonaki M. Antonelli S. Antonelli J. Antos B. Antunovic F. Anulli S. Aoun R. Apolle G. Arabidze I. Aracena Y. Arai A. T. H. Arce J. P. Archambault S. Arfaoui J-F. Arguin T. Argyropoulos E. Arik M. Arik A. J. Armbruster K. E. Arms S. R. Armstrong O. Arnaez C. Arnault A. Artamonov D. Arutinov S. Asai R. Asfandiyarov S. Ask B. Åsman L. Asquith K. Assamagan A. Astbury A. Astvatsatourov G. Atoian B. Aubert B. Auerbach E. Auge K. Augsten M. Aurousseau N. Austin R. Avramidou D. Axen C. Ay G. Azuelos Y. Azuma M. A. Baak G. Baccaglioni C. Bacci A. M. Bach H. Bachacou K. Bachas G. Bachy M. Backes E. Badescu P. Bagnaia Y. Bai D. C. Bailey T. Bain J. T. Baines O. K. Baker S. Baker F. Baltasar Dos Santos Pedrosa E. Banas P. Banerjee Sw. Banerjee D. Banfi A. Bangert V. Bansal H. S. Bansil L. Barak S. P. Baranov A. Barashkou A. Barbaro Galtieri 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 A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa P. Barrillon R. Bartoldus A. E. Barton D. Bartsch R. L. Bates L. Batkova J. R. Batley A. Battaglia M. Battistin Albert-Ludwigs-Universität Fakultät für Mathematik und Physik Hermann-Herder Strasse 3 D - 79104 Freiburg i.Br. Germany University of Oklahoma Homer L. Dodge Department of Physics and Astronomy 440 West Brooks Room 100 Norman Oklahoma 73019-0225 USA Institut de Física d’Altes Energies IFAE Edifici Cn Universitat Autònoma de Barcelona ES - 08193 Bellaterra (Barcelona) Spain Université de Genève Section de Physique 24 rue Ernest Ansermet CH - 1211 Geneve 4 Switzerland Oxford University Department of Physics Denys Wilkinson Building Keble Road Oxford OX1 3RH United Kingdom Institute of Physics Azerbaijan Academy of Sciences H. Javid Avenue 33 AZ 143 Baku Azerbaijan Oklahoma State University Department of Physics 145 Physical Sciences Building Stillwater Oklahoma 74078-3072 USA Michigan State University Department of Physics and Astronomy High Energy Physics Group East Lansing Michigan 48824-2320 USA Tel Aviv University Raymond and Beverly Sackler School of Physics and Astronomy Ramat Aviv IL - Tel Aviv 69978 Israel LAL Université du Paris-Sud IN2P3/CNRS Orsay France INFN Sezione di Milano Italy Università di Milano Dipartimento di Fisica via Celoria 16 IT - 20133 Milano Italy INFN Gruppo Collegato di Udine Italy ICTP Strada Costiera 11 IT-34014 Trieste Italy University of Bonn Physikalisches Institut Nussallee 12 D - 53115 Bonn Germany Brookhaven National Laboratory Physics Department Building 510A Upton New York 11973 USA Hampton University Department of Physics Hampton Virginia 23668 USA Yale University Department of Physics P.O. Box 208121 New Haven Connecticut 06520-8121 USA Max-Planck-Institut für Physik (Werner-Heisenberg-Institut) Föhringer Ring 6 80805 München Germany Ludwig-Maximilians-Universität München Fakultät für Physik Am Coulombwall 1 DE - 85748 Garching Germany Queen Mary University of London Department of Physics Mile End Road London E1 4NS United Kingdom Rutherford Appleton Laboratory Science and Technology Facili

Measurements of charged particle distributions, sensitive to the underlying event, have been performed with the ATLAS detector at the LHC. The measurements are based on data collected using a minimum-bias trigger to select proton-proton collisions at center-of-mass energies of 900 GeV and 7 TeV. The “underlying event” is defined as those aspects of a hadronic interaction attributed not to the hard scattering process, but rather to the accompanying interactions of the rest of the proton. Three regions are defined in azimuthal angle with respect to the highest transverse momentum charged particle in the event, such that the region transverse to the dominant momentum-flow is most sensitive to the underlying event. In each of these regions, distributions of the charged particle multiplicity, transverse momentum density, and average pT are measured. The data show generally higher underlying event activity than that predicted by Monte Carlo models tuned to pre-LHC data.

关键词： PROTON-proton interactions NUCLEAR reactions DETECTORS SCATTERING (Physics) HADRONS

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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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Diffusion maps - A probabilistic interpretation for spectral embedding and clustering algorithms

Diffusion maps - A probabilistic interpretation for spectral...

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作者： Nadler, Boaz Lafon, Stephane Coifman, Ronald Kevrekidis, Ioannis G. Department of Computer Science and Applied Mathematics Weizmann Institute of Science Rehovot 76100 Israel Google Inc. United States Department of Mathematics Yale University New Haven CT 06520-8283 United States Department of Chemical Engineering Program in Applied and Computational Mathematics Princeton University Princeton NJ 08544 United States

ISBN: (纸本)9783540737490

Spectral embedding and spectral clustering are common methods for non-linear dimensionality reduction and clustering of complex high dimensional datasets. In this paper we provide a diffusion based probabilistic analysis of algorithms that use the normalized graph Laplacian. Given the pairwise adjacency matrix of all points in a dataset, we define a random walk on the graph of points and a diffusion distance between any two points. We show that the diffusion distance is equal to the Euclidean distance in the embedded space with all eigenvectors of the normalized graph Laplacian. This identity shows that characteristic relaxation times and processes of the random walk on the graph are the key concept that governs the properties of these spectral clustering and spectral embedding algorithms. Specifically, for spectral clustering to succeed, a necessary condition is that the mean exit times from each cluster need to be significantly larger than the largest (slowest) of all relaxation times inside all of the individual clusters. For complex, multiscale data, this condition may not hold and multiscale methods need to be developed to handle such situations.

关键词： Relaxation time

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Hardware-accelerated components for hybrid computing systems

Hardware-accelerated components for hybrid computing systems

引用

2008 Component Based High Performance Workshop - CompFrame/HPC-GECO Workshop Series, CBHPC'08

作者： Chavarría-Miranda, Daniel Nieplocha, Jarek Gorton, Ian High Performance Computing Pacific Northwest National Laboratory United States Computational Sciences and Mathematics Division Pacific Northwest National Laboratory United States Applied Computer Science Pacific Northwest National Laboratory United States

ISBN: (纸本)9781605583112

We present a study on the use of component technology for encapsulating platform-specific hardware-accelerated algorithms on hybrid HPC systems. Our research shows that component technology can have significant benefits from a software engineering point-of-view to increase encapsulation, portability and reduce or eliminate platform dependence for hardware-accelerated algorithms. As a demonstration of this concept, we discuss our experience in designing, implementing and integrating an FPGA-accelerated kernel for Polygraph, an application in computational proteomics. Copyright 2008 ACM.

关键词： computer software portability

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