Abstract
The HL-LHC and the corresponding detector upgrades for the CMS experiment will present extreme challenges for the full simulation. In particular, increased precision in models of physics processes may be required for accurate reproduction of particle shower measurements from the upcoming High Granularity Calorimeter. The CPU performance impacts of several proposed physics models will be discussed. There are several ongoing research and development efforts to make efficient use of new computing architectures and high performance computing systems for simulation. The integration of these new R&D products in the CMS software framework and corresponding CPU performance improvements will be presented.
Highlights
The high luminosity LHC upgrade (HL-LHC) will increase the instantaneous luminosity for proton-proton collisions to 5–7.5 × 1034 cm−2 s−1, at least a factor of 5 greater than the design luminosity of the LHC
The endcap calorimeter system will be replaced with an integrated high granularity calorimeter (HGCal) [1]
To characterize the performance results in the full CMS software (CMSSW) framework, the standalone GeantV tests with the CMS geometry are run using a single thread, with the same settings as above and on the same dedicated machine
Summary
The high luminosity LHC upgrade (HL-LHC) will increase the instantaneous luminosity for proton-proton collisions to 5–7.5 × 1034 cm−2 s−1, at least a factor of 5 greater than the design luminosity of the LHC This upgrade will produce an order of magnitude more data over the lifetime of the collider, but it will produce more radiation, which can damage the detector, and more simultaneous interactions per bunch crossing, or pileup. In 2016, at the start of Run 2 of the LHC, the detector simulation step in the CMS software (CMSSW) chain consumed roughly 40% of the total CPU usage [2]. The technical details of how these R&D products are integrated in CMSSW are given in Section 4, while Section 5 shows the performance results from the integration
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