VLVnT - 2015 : Very Large Volume Neutrino Telescope

Session

Parallel Session G

15 Sept 2015, 15:10

University "La Sapienza", Physics Department

Conveners

Parallel Session G: Computing models, data repositories, Virtual observatory, data formats, software systems, user training - 1

• Christos Markou (Nat. Cent. for Sci. Res. Demokritos (GR))
• Gonzalo Merino (IceCube)
• Cristiano Bozza (University of Salerno)

Parallel Session G: Computing models, data repositories, Virtual observatory, data formats, software systems, user training - 2

• Gonzalo Merino (IceCube)
• Christos Markou (Nat. Cent. for Sci. Res. Demokritos (GR))
• Cristiano Bozza (University of Salerno)

36. IceCube Simulation Production and the Transition to IceProd2

David Schultz (University of Wisconsin-Madison)

15/09/2015, 15:10

IceCube's simulation production relies largely on dynamic, heterogeneous resources spread around the world. Datasets consist of many thousands of job workflow subsets running in parallel as directed acyclic graphs (DAGs) and using varying resources. IceProd is a set of python daemons which process job workflow and maintain configuration and status information on jobs before, during, and after...

63. Enabling Grid Computing resources within the KM3NeT computing model

Christos Filippidis (Nat. Cent. for Sci. Res. Demokritos (GR))

15/09/2015, 15:30

KM3NeT is a future European deep-sea research infrastructure hosting a new generation neutrino telescope with a volume of several cubic kilometres that -located at the bottom of the Mediterranean Sea - will open a new window on the universe. International collaborative scientific experiments, like KM3NeT, are generating datasets which are increasing exponentially in both complexity and volume,...

21. Using IKAROS as a data transfer and management utility within the KM3NeT computing model

Christos Filippidis (Nat. Cent. for Sci. Res. Demokritos (GR))

15/09/2015, 15:45

International collaborative scientific experiments are generating datasets which are increasing exponentially in both complexity and volume, making their analysis, archival, and sharing one of the grand challenges of the 21st century. These experiments, in their majority, adopt computing models consisting of different Tiers (each Tier is made up of several computing centres and provides a...

55. The Relational Database System of KM3NeT

Cristiano Bozza (University of Salerno)

15/09/2015, 16:30

KM3NeT is a new generation neutrino telescope in the Mediterranean Sea. For the operation of the telescope a relational database is designed and implemented for several purposes, like the centralised management of accounts, the storage of all documentation on components and on the status of the detector, of the slow control and calibration data. It also contains information useful during the...

27. Application of Data Mining Techniuqes in Atmospheric Neutrino Analyses with IceCube

Tim Ruhe (TU Dortmund)

15/09/2015, 16:50

The selection of event candidates by using machine algorithms has become an important analysis tool. Data mining, however, goes beyond the simple training and application of a learning algorithm. It also incorporates finding a good reprensation of the data in less dimensions without losing relevant information, as well as a thorough validation of the results throughout the entire analysis. A...

40. A study on implementing a multithreaded version of the SIRENE detector simulation software for high energy neutrinos

Christos Filippidis (Nat. Cent. for Sci. Res. Demokritos (GR))

15/09/2015, 17:10

Aim of this work is the development of a multithreaded version of the SIRENE detector simulation software for high energy neutrinos. This approach allows utilization of multiple CPU cores and GPUs, leading to a potentially significant decrease in the required execution time compared to the sequential code. We are making use of MPI, OpenMP frameworks for the production of multithreaded code...