CHEP 2016 Conference, San Francisco, October 8-14, 2016

Facilitating the deployment and exploitation of HEP Phenomenology codes using INDIGO-Datacloud tools

13 Oct 2016, 15:30

1h 15m

San Francisco Marriott Marquis

Poster Track 5: Software Development Posters B / Break

Speakers

Emanuele Angelo Bagnaschi (DESY Hamburg) Isabel Campos Plasencia (Consejo Superior de Investigaciones Cientificas (CSIC) (ES))

Description

The MasterCode collaboration (http://cern.ch/mastercode) is concerned with the investigation of supersymmetric models that go beyond the current status of the Standard Model of particle physics. It involves teams from CERN, DESY, Fermilab, SLAC, CSIC, INFN, NIKHEF, Imperial College London,King's College London, the Universities of Amsterdam, Antwerpen, Bristol, Minnesota and ETH Zurich.

Within the MasterCode collaboration, state-of-the-art HEP Phenomenology codes are consistently combined to provide the most precise prediction for supersymmetric models to be confronted with experimental data.

Generally speaking, for the type of software developed in HEP Phenomenology, there is a lack of tools to enable the easy development and deployment of applications. Phenomenology applications have many dependences in terms of libraries and compilers that makes it difficult to deploy on traditional batch clusters due to system software version conflicts and related issues.

In this work we propose a framework based on the developments of the project INDIGO-Datacloud to fill this gap. In particular such developments allow us to easily build, modify, distribute and run Mastercode in containerized form over multiple Cloud infrastructures.

Other advanced capabilities imply running Mastercode through dynamically instantiated batch systems provisioned by general computing infrastructures. In particular, making possible the automatic handling of parametric runs (parameter sweeping).

Such an advanced computing framework has the potential of speeding up the phases of development and deployment of complex scientific software used in our research, with the corresponding impact in the results.

The development of Mastercode is supported by the ERC Advanced Grant 267352, "Exploring the Terauniverse with the LHC, Astrophysics and Cosmology" led by Prof. John Ellis.

INDIGO-Datacloud receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement RIA 653549.