|
1.
|
Is Julia ready to be adopted by HEP?
/ Gál, Tamás (Erlangen - Nuremberg U.) ; Gras, Philippe (IRFU, Saclay) ; Hegner, Benedikt (CERN) ; Hernandez Acosta, Uwe (HZDR, Dresden ; CASUS) ; Kluth, Stefan (Munich, Max Planck Inst.) ; Ling, Jerry (Harvard U.) ; Mato, Pere (CERN) ; Moreno, Alexander (Antonio Narino U.) ; Pivarski, Jim (Princeton U.) ; Schulz, Oliver (Munich, Max Planck Inst.) et al.
The Julia programming language was created 10 years ago and is now a mature and stable language with a large ecosystem including more than 8,000 third-party packages. It was designed for scientific programming to be a high-level and dynamic language as Python is, while achieving runtime performances comparable to C/C++ or even faster. [...]
2024 - 6 p.
- Published in : EPJ Web Conf. 295 (2024) 05008
Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.05008
|
|
|
2.
|
|
|
3.
|
|
|
4.
|
Potential of the Julia programming language for high energy physics computing
/ Eschle, Jonas (U. Zurich (main)) ; Gál, Tamás (Erlangen - Nuremberg U., Theorie III) ; Giordano, Mosè (Imperial Coll., London) ; Gras, Philippe (IRFU, Saclay) ; Hegner, Benedikt (CERN) ; Heinrich, Lukas (Munich, Max Planck Inst.) ; Hernandez Acosta, Uwe (HZDR, Dresden) ; Kluth, Stefan (Munich, Max Planck Inst.) ; Ling, Jerry (Harvard U.) ; Mato, Pere (CERN) et al.
Research in high energy physics (HEP) requires huge amounts of computing and storage, putting strong constraints on the code speed and resource usage. To meet these requirements, a compiled high-performance language is typically used; while for physicists, who focus on the application when developing the code, better research productivity pleads for a high-level programming language [...]
arXiv:2306.03675.-
2023-10-05 - 24 p.
- Published in : Comput. Softw. Big Sci. 7 (2023) 10
Fulltext: document - PDF; 2306.03675 - PDF;
|
|
|
5.
|
|
|
Status of the GAUDI event-processing framework
/ Cattaneo, M (CERN) ; Frank, M (CERN) ; Mato, P (CERN) ; Ponce, S (CERN) ; Ranjard, F (CERN) ; Roiser, S (CERN) ; Belyaev, I (CERN ; Moscow, ITEP) ; Arnault, C (Orsay, LAL) ; Calafiura, P (LBNL, Berkeley) ; Day, C (LBNL, Berkeley) et al.
The GAUDI architecture and framework are designed to provide a common infrastructure and
environment for simulation, filtering, reconstruction and analysis applications. [...]
4 p.
Full text
|
|
|
6.
|
10.17181/CERN-EP-RDET-2022-006
|
|
7.
|
A Software Institute for Data-Intensive Sciences, Joining Computer Science Academia and Natural Science Research
/ Bird, Ian (CERN) ; Campana, Simone (CERN) ; Mato Vila, Pere (CERN) ; Roiser, Stefan (CERN) ; Schulz, Markus (CERN) ; Stewart, Graeme A (CERN) ; Valassi, Andrea (CERN)
With the ever-increasing size of scientific collaborations and complexity of scientific instruments, the software needed to acquire, process and analyze the gathered data is increasing in both complexity and size. Unfortunately the role and career path of scientists and engineers working on software R&D; and developing scientific software are neither clearly established nor defined in many fields of natural science. [...]
2020 - 7 p.
- Published in : EPJ Web Conf. 245 (2020) 08020
Fulltext from publisher: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.08020
|
|
|
8.
|
Towards a Turnkey Software Stack for HEP Experiments
/ Sailer, André (CERN) ; Ganis, Gerardo (CERN) ; Mato, Pere (CERN) ; Petrič, Marko (CERN) ; Stewart, Graeme A (CERN)
Future HEP experiments require detailed simulation and advanced reconstruction algorithms to explore the physics reach of their proposed machines and to design, optimise, and study the detector geometry and performance. To synergize the development of the CLIC and FCC software efforts, the CERN EP R&D; roadmap proposes the creation of a “Turnkey Software Stack”, which is foreseen to provide all the necessary ingredients, from simulation to analysis, for future experiments; not only CLIC and FCC, but also for proposed Super-tau-charm factories, CEPC, and ILC. [...]
2020 - 7 p.
- Published in : EPJ Web Conf. 245 (2020) 10002
Fulltext: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.10002
|
|
|
9.
|
|
|
10.
|
GeantV: Results from the prototype of concurrent vector particle transport simulation in HEP
/ Amadio, G. (CERN) ; Ananya, A. (CERN) ; Apostolakis, J. (CERN) ; Bandieramonte, M. (CERN ; Pittsburgh U.) ; Banerjee, S. (Fermilab) ; Bhattacharyya, A. (Bhabha Atomic Res. Ctr.) ; Bianchini, C. (Sao Paulo, IFT ; Mackenzie Presbiteriana U.) ; Bitzes, G. (CERN) ; Canal, P. (Fermilab) ; Carminati, F. (CERN) et al.
Full detector simulation was among the largest CPU consumer in all CERN experiment software stacks for the first two runs of the Large Hadron Collider (LHC). In the early 2010's, the projections were that simulation demands would scale linearly with luminosity increase, compensated only partially by an increase of computing resources. [...]
arXiv:2005.00949; FERMILAB-PUB-20-200-SCD.-
2021-01-03 - 34 p.
- Published in : Comput. Softw. Big Sci. 5 (2021) 3
Fulltext: 2005.00949 - PDF; fermilab-pub-20-200-scd - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server (fulltext available)
|
|
e-postvarsel
eller abonner på 
RSS.