Multithreaded (MT) programming is crucial to make best use of today’s parallel computing architectures, but until recently most HEP code was unable to run MT. Because of associated overheads and latency requirements, MT is particularly challenging for RTA. The first objective of the student working on this project will be to implement additional monitoring within the ATLAS real-time code to analyse algorithm scheduling and performance as well as measure the overhead of MT in RTA. The student will use this to identify improvements that maximize the control flow and overall performance. This will be done in synergy with the benchmarking work of another project within SMARTHEP, and integrated in the ATLAS real-time software. Working on this objective will result in the PhD student working on this project becoming trained in advanced techniques of developing and evaluating code for highly parallel architectures. This will be crucial for their collaboration with Lightbox, where they will devise an optimal parallelization of algorithms for investment strategies, trading infrastructures and integrated business processes, and where they will be trained in commercial tasks and then produce a commercial framework with figures of merit for their real-time optimization. The student will also collaborate with CNRS, whose physical proximity enables ESR4 to benefit from the expertise in MT and parallelization more generally of both. The student in this project will use the gained insights and knowledge to implement new RTA capabilities in the ATLAS trigger for Long Lived Particle (LLP) signatures, including dedicated pattern recognition algorithms for charged particles decaying in the middle of the detector. This will increase the trigger acceptance for such particles in ATLAS Run 3 data, so that a search with the first data can be performed in collaboration with another student at the University of Geneva within the SMARTHEP network.
ESR4: Efficient RTA in ATLAS and finance using multithreading
Host country: Switzerland
Host beneficiary: CERN
Experiment affiliation: ATLAS
PhD-awarding institution: University of Geneva
Planned collaborations: LIGHTBOX, CNRS
Secondments
- LIGHTBOX, Switzerland
- LPNHE CNRS, France
Special requirements
Candidates should have received (or be about to receive) the equivalent of a Master’s Degree with a specialization in particle physics or a related discipline.
Good knowledge of spoken and written English is a requirement.
Offer
A successful candidate for this position will be offered a three year CERN Fellowship employment contract with a competitive salary plus a family, mobility and travel/training allowance.
The candidate will be enrolled in a PhD program at the department of particle and nuclear physics DPNC at the University of Geneva.
Institute and supervisor information
CERN, the European Organization for Nuclear Research, is an intergovernmental organization with 23 Member States. Its seat is in Geneva but its premises are located on both sides of the French-Swiss border. CERN’s mission is to enable international collaboration in the field of high-energy particle physics research and to this end it designs, builds and operates particle accelerators and the associated experimental areas. At present, more than 10 000 scientific users from research institutes all over the world are using CERN’s installations for their experiments. Further information is available on the CERN website
CERN hosts the largest and most powerful particle accelerator in the world, the Large Hadron Collider (LHC) together with its four main experiments: ALICE, ATLAS, CMS and LHCb. This unique research facility has been providing high energy particle collisions since 2009. It is used to study a wide range of aspects of fundamental particle physics which for instance lead to the discovery of the Higgs boson in 2012. The LHC will continue to be on the forefront of high energy physics for the next two decades by implementing upgrades to the accelerator and experiments facilitating ever higher collision rates and energies. This will require the development and deployment of new and innovative technologies for handling the unprecedented data rates generated (more than 100 Exabytes per year) in real time to achieve the optimal physics performance. CERN researchers from all four experiments are part of SMARTHEP.
Main supervisor: Brian Petersen
Brian Petersen has been a CERN staff scientist since 2007. His main research interest is the search for physics beyond the Standard Model. He is a member of the ATLAS and FASER LHC experiments and has been the coordinator of both the ATLAS trigger group and the ATLAS upgrade physics group.
Since 2018 he is the LHC Programme Coordinator where he is responsible for optimising the efficiency of the data collection for the LHC physics programme and its scientific output.
Co-supervisor: Maurizio Pierini
Maurizio Pierini is the coordinator of the Physics Performances and Dataset (PPD) area in CMS, and the initiator of real-time analysis (Data Scouting) in CMS. He leads the ML4HEP Team and works in collaboration with Zenuity. He is a CERN staff scientist, and a LPC Distinguished Researcher of the Fermilab Physics Center.
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SMARTHEP is funded by the European Union’s Horizon 2020 research and innovation programme, call H2020-MSCA-ITN-2020, under Grant Agreement n. 956086
