X Seminar on Software for Nuclear, Subnuclear and Applied Physics

Contribution List

6. Knowledge and Technology Transfer @ INFN

Speranza Falciano (ROMA1)

03/06/2013, 09:30

3. Multi- and many-core computing for Physics applications

Sebastiano Fabio Schifano (FE)

03/06/2013, 11:00

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...

11. Geant4 simulation code: theory and practical session

Annagrazia Varisano (LNS), Francesco Romano (LNS)

03/06/2013, 16:00

12. Data acquisition, slow control systems and image processing for physics applications

Luca Tommasetti (University & INFN Ferrara)

04/06/2013, 09:00

5. Tomographic image reconstruction: theory and applications to photon and proton tomography

Eleonora Vanzi

04/06/2013, 11:00

9. Databases in experimental Physics: theory and practice

Luca Tomassetti (FE)

05/06/2013, 09:00

8. e-Infrastructures

Marco Paganoni (MIB)

05/06/2013, 11:00

13. Geant4 simulation code: theory and practical session

Annagrazia Varisano (LNS), Francesco Romano (LNS)

05/06/2013, 15:30

Geant4 simulation code: theory and practical session

0. Computing models for high-energy experiments (ie, how to survive an avalanche of data)

Tommaso Boccali (PI)

06/06/2013, 09:00

1. Quantitative methods for neuroimaging data analysis

Alessandra Retico (PI)

06/06/2013, 11:00

2. Computing models for high-energy experiments (ie, how to survive an avalanche of data)

Tommaso Boccali (PI)

07/06/2013, 09:00

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)

07/06/2013, 11:00

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...

4. Data acquisition, slow control systems and image processing for Physics applications

Luca Tomassetti (FE)