A Parallelised ROOT for Future HEP Data Processing
[2];
- European Organization for Nuclear Research (CERN), Geneva (Switzerland)
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- European Organization for Nuclear Research (CERN), Geneva (Switzerland); Univ. of Oldenburg, Oldenburg (Germany)
- European Organization for Nuclear Research (CERN), Geneva (Switzerland); Jaume I Univ., Castelló de la Plana, Valencia (Spain)
In the coming years, HEP data processing will need to exploit parallelism on present and future hardware resources to sustain the bandwidth requirements. As one of the cornerstones of the HEP software ecosystem, ROOT embraced an ambitious parallelisation plan which delivered compelling results. In this contribution the strategy is characterised as well as its evolution in the medium term. The units of the ROOT framework are discussed where task and data parallelism have been introduced, with runtime and scaling measurements. We will give an overview of concurrent operations in ROOT, for instance in the areas of I/O (reading and writing of data), fitting / minimization, and data analysis. This paper introduces the programming model and use cases for explicit and implicit parallelism, where the former is explicit in user code and the latter is implicitly managed by ROOT internally.
- Research Organization:
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- Grant/Contract Number:
- AC02-07CH11359
- OSTI ID:
- 1574961
- Report Number(s):
- FERMILAB-CONF-19-551-SCD; oai:inspirehep.net:1761253; TRN: US2001155
- Journal Information:
- EPJ Web of Conferences, Vol. 214; Conference: 23. International Conference on Computing in High Energy and Nuclear Physics, Sofia (Bulgaria), 9-13 Jul 2018; ISSN 2100-014X
- Publisher:
- EDP SciencesCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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