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X Seminar on Software for Nuclear, Subnuclear and Applied Physics

Jun 2 – 8, 2013
Porto Conte Alghero
Europe/Rome timezone

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Contribution List

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  1. 6. Knowledge and Technology Transfer @ INFN
    Speranza Falciano (ROMA1)
    6/3/13, 9:30 AM
  2. 3. Multi- and many-core computing for Physics applications
    Sebastiano Fabio Schifano (FE)
    6/3/13, 11:00 AM
    More and more often, processor manufacturers adopt the multi-core design approach as a way to further improve performances in spite of the fact that current micro-electronic technologies put a practical upper limit on clock frequency at approximately 3 GHz. A multi-core processor is a single chip integrating two or more independent CPUs. The number of cores within one chip is quickly...
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  3. 11. Geant4 simulation code: theory and practical session
    Annagrazia Varisano (LNS), Francesco Romano (LNS)
    6/3/13, 4:00 PM
  4. 12. Data acquisition, slow control systems and image processing for physics applications
    Luca Tommasetti (University & INFN Ferrara)
    6/4/13, 9:00 AM
  5. 5. Tomographic image reconstruction: theory and applications to photon and proton tomography
    Eleonora Vanzi
    6/4/13, 11:00 AM
  6. 9. Databases in experimental Physics: theory and practice
    Luca Tomassetti (FE)
    6/5/13, 9:00 AM
  7. 8. e-Infrastructures
    Marco Paganoni (MIB)
    6/5/13, 11:00 AM
  8. 13. Geant4 simulation code: theory and practical session
    Annagrazia Varisano (LNS), Francesco Romano (LNS)
    6/5/13, 3:30 PM
  9. 0. Computing models for high-energy experiments (ie, how to survive an avalanche of data)
    Tommaso Boccali (PI)
    6/6/13, 9:00 AM
  10. 1. Quantitative methods for neuroimaging data analysis
    Alessandra Retico (PI)
    6/6/13, 11:00 AM
  11. 2. Computing models for high-energy experiments (ie, how to survive an avalanche of data)
    Tommaso Boccali (PI)
    6/7/13, 9:00 AM
  12. 7. From GPU-accelerated computing to GPU-accelerated data acquisition for physics experiments; the QUonG cluster, the APEnet+ network card and the APE project evolution
    Francesco Simula (ROMA1)
    6/7/13, 11:00 AM
    Graphical Processing Units have become established as reasonably cheap but very powerful numerical accelerators; they are employed more and more in modern clusters for scientific computing. On the other hand, the fat-tree topology that most of them employs for their high performance network infrastructure (like InfiniBand) has a number of shortcomings that become more and more severe when...
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  13. 4. Data acquisition, slow control systems and image processing for Physics applications
    Luca Tomassetti (FE)