Nicolò Magini

Nicolò Magini is an expert in high performance computing and high throughput computing, with 15 years of experience in the development and operations of services for data analysis and data management on large-scale computing infrastructures.

Nicolò received his degree and PhD in Physics at the University of Florence, working on the reconstruction and analysis of data from the CMS experiment at the Large Hadron Collider (LHC) at CERN.

In 2007, he joined CERN to develop services for the Worldwide LHC Computing Grid (WLCG) connecting 170 computing centres globally to provide the storage, networking and processing resources used by thousands of physicists to analyse tens of Petabytes of data produced by LHC experiments every year.

At CERN, he was involved in projects in all aspects of scientific computing, including data reconstruction and analysis, data management, workload management and monitoring, and analytics. From 2014 to 2016 he was the coordinator of the development projects of all computing services for the CMS experiment. 

Starting in 2017, Nicolò worked for the ATLAS experiment on the development of new services for data processing on diverse infrastructures, including clouds and HPC centres.

In 2021, Nicolò joined the Leonardo HPC/Cloud Labs, where he concentrated his research activity on the development and exploitation of the davinci-1 HPC infrastructure. He works in the team of administrators of davinci-1, and he is responsible for the private cloud deployment on davinci-1 resources.

HPC, Cloud computing and Big Data

Iacopo Colonnelli et al., Distributed workflows with Jupyter, Future Generation Computer Systems, Volume 128, 2022, Pages 282-298, ISSN 0167-739X, https://doi.org/10.1016/j.future.2021.10.007

Fernando Harald Barreiro Megino et al, Managing the ATLAS Grid through Harvester. EPJ Web Conf., 245:03010, 2020.

A. Brino et al., Towards an Event Streaming Service for ATLAS data processing, EPJ Web

Conf. Volume 214, 2019 https://doi.org/10.1051/epjconf/201921404034

M. Barisits et al., Rucio: Scientific data management, Comput Softw Big Sci (2019) 3: 11.

https://doi.org/10.1007/s41781-019-0026-3

J. Albrecht et al. [HEP Software Foundation Collaboration], A Roadmap for HEP Software and Computing R&D for the 2020s, Comput. Softw. Big Sci. 3, no. 1, 7 (2019) doi:10.1007/s41781-018-0018-8

D. Bonacorsi et al., Progress in Machine Learning studies for the CMS computing infrastructure", PoS(ISGC2017)023.

D. Bonacorsi et al., Exploiting analytics techniques in CMS computing monitoring, in Proceedings of the 22nd International Conference on Computing in High Energy and Nuclear Physics (CHEP2016), J. Phys.: Conf. Ser. 898 (2017) 092030.

B. Holzman et al., HEPCloud, a New Paradigm for HEP Facilities: CMS Amazon Web Services Investigation", Comput Softw Big Sci (2017) 1: 1. https://doi.org/10.1007/s41781-017-0001-9

A. Apyan et al., Pooling the resources of the CMS Tier-1 sites, J.Phys.Conf.Ser. 664 (2015) no.4, 042056.

D. Bonacorsi et al., Exploiting CMS data popularity to model the evolution of data management for Run-2 and beyond", J.Phys.Conf.Ser. 664 (2015) no.3, 032003.

M. Giffels et al., The CMS Data Management System, in Proceedings of the 20th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2013), 14-18 October 2013, Amsterdam, The Netherlands, J.Phys.Conf.Ser. 513 (2014) 042052.

J. Flix et al., Improving CMS data transfers among its distributed computing facilities, in Proceedings of the 18th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2010), 18-22 October 2010, Taipei, Taiwan, J.Phys.Conf.Ser. 331 (2011), 052013.

G. Bagliesi et al., The CMS Data Transfer Test Environment in Preparation for LHC Data Taking", in the Conference Record of the IEEE 2008 Nuclear Science Symposium, Medical Imaging Conference and 16th Room Temperature Semiconductor Detector Workshop, 19 – 25 October 2008, Dresden, Germany, 10.1109/NSSMIC.2008.4775085.

-    Towards an Event Streaming Service for ATLAS data processing, at the 23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018), Sofia, Bulgaria, 9-13 July 2018.

Improving CMS data transfers among its distributed Computing Facilities, at the 18th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2010), Taipei, Taiwan, 18-22 October 2010.

Debugging Data Transfers between CMS Computing Centres, at the 4th EGEE User Forum/OGF 25 and OGF Europe's 2nd International Event, Catania, Italy, 2-6 March 2009.

The CMS Data Transfer Test Environment in Preparation for LHC Data Taking, at the IEEE 2008 Nuclear Science Symposium, Medical Imaging Conference and 16th Room Temperature Semiconductor Detector Workshop (2008 NSS-MIC-RTSD), Dresden, Germany, 19-25 October 2008.

Bs ->  J/psi phi with the ATLAS and CMS detectors", at the 4th International Workshop on the CKM Unitarity Triangle (CKM 2006), Nagoya, Japan, 12-16 December 2006.

Bs -> J/psi phi LHC review, at the 11th International Conference on B-Physics at Hadron Machines (Beauty 2006), Oxford, UK, 25-29 September 2006.

B physics with the initial detector in CMS, at Physics at LHC, Prague, Czech Republic, 6-12 July 2003.