Scientific and high-performance computing at FAIR

被引:5
|
作者
Kisel, Ivan [1 ,2 ,3 ]
机构
[1] Goethe Univ Frankfurt, D-60323 Frankfurt, Germany
[2] FIAS, D-60438 Frankfurt, Germany
[3] GSI Helmholtz Ctr Heavy Ion Res, D-64291 Darmstadt, Germany
关键词
CBM EXPERIMENT;
D O I
10.1051/epjconf/201501007
中图分类号
O59 [应用物理学];
学科分类号
摘要
Future FAIR experiments have to deal with very high input rates, large track multiplicities, make full event reconstruction and selection on-line on a large dedicated computer farm equipped with heterogeneous many-core CPLI/GPLI compute nodes. To develop efficient and fast algorithms, which are optimized for parallel computations, is a challenge for the groups of experts dealing with the HPC computing. Here we present and discuss the status and perspectives of the data reconstruction and physics analysis software of one of the future FAIR experiments, namely, the CBM experiment.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Curriculum in high-performance scientific computing
    Jessup, ER
    [J]. FRONTIERS IN EDUCATION FIE'96 - 26TH ANNUAL CONFERENCE, PROCEEDINGS, VOLS 1-3: TECHNOLOGY-BASED RE-ENGINEERING ENGINEERING EDUCATION, 1996, : 412 - 414
  • [2] A component architecture for high-performance scientific computing
    Allan, Benjamin A.
    Armstrong, Robert
    Bernholdt, David E.
    Bertrand, Felipe
    Chiu, Kenneth
    Dahlgren, Tamara L.
    Damevski, Kostadin
    Elwasif, Wael R.
    Epperly, Thomas G. W.
    Govindaraju, Madhusudhan
    Katz, Daniel S.
    Kohl, James A.
    Krishnan, Manoj
    Kumfert, Gary
    Larson, J. Walter
    Lefantzi, Sophia
    Lewis, Michael J.
    Malony, Allen D.
    McInnes, Lois C.
    Nieplocha, Jarek
    Norris, Boyana
    Parker, Steven G.
    Ray, Jaideep
    Shende, Sameer
    Windus, Theresa L.
    Zhou, Shujia
    [J]. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2006, 20 (02): : 163 - 202
  • [3] The PlayStation 3 for high-performance scientific computing
    Kurzak, Jakub
    Buttari, Alfredo
    Luszczek, Piotr
    Dongarra, Jack
    [J]. COMPUTING IN SCIENCE & ENGINEERING, 2008, 10 (03) : 84 - 87
  • [4] High-Performance Cloud Computing: A View of Scientific Applications
    Vecchiola, Christian
    Pandey, Suraj
    Buyya, Rajkumar
    [J]. 2009 10TH INTERNATIONAL SYMPOSIUM ON PERVASIVE SYSTEMS, ALGORITHMS, AND NETWORKS (ISPAN 2009), 2009, : 4 - 16
  • [5] The CCA component model for high-performance scientific computing
    Armstrong, R
    Kumfert, G
    McInnes, LC
    Parker, S
    Allan, B
    Sottile, M
    Epperly, T
    Dahlgren, T
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2006, 18 (02): : 215 - 229
  • [6] Creating a sustainable high-performance scientific computing course
    Jessup, ER
    Tufo, HM
    [J]. COMPUTATIONAL SCIENCE - ICCS 2004, PROCEEDINGS, 2004, 3039 : 1242 - 1248
  • [7] On the impact of quantum computing technology on future developments in high-performance scientific computing
    Matthias Möller
    Cornelis Vuik
    [J]. Ethics and Information Technology, 2017, 19 : 253 - 269
  • [8] On the impact of quantum computing technology on future developments in high-performance scientific computing
    Moller, Matthias
    Vuik, Cornelis
    [J]. ETHICS AND INFORMATION TECHNOLOGY, 2017, 19 (04) : 253 - 269
  • [9] CUDA: Scalable parallel programming for high-performance scientific computing
    Luebke, David
    [J]. 2008 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1-4, 2008, : 836 - 838
  • [10] The Heat Equation: High-Performance Scientific Computing Case Study
    Schuster, Micah D.
    [J]. COMPUTING IN SCIENCE & ENGINEERING, 2018, 20 (05) : 114 - 127