- Compact style
- Indico style
- Indico style - inline minutes
- Indico style - numbered
- Indico style - numbered + minutes
- Indico Weeks View
Color code: (critical, news during the meeting: green, news from this week: blue, news from last week: purple, no news: black)
High priority Framework issues:
Other framework tickets:
Global calibration topics:
Async reconstruction
EPN major topics:
Other EPN topics:
Raw decoding checks:
Full system test issues:
Topology generation:
QC / Monitoring / InfoLogger updates:
AliECS related topics:
GPU ROCm / compiler topics:
TPC GPU Processing
TPC processing performance regression:
General GPU Processing
Added momentum vector estimation to neural network output
Axis is in [GeV/c]. Not exactly sure why there are these bumps in the X-momentum distribution. But seemingly got a first reasonable momentum vector estimation working!
Position resolution decreased. Previously std_dev ~= 0.11, now 0.18. Probably need bigger network for the fit (very small so far, 2 layers)
Sigma estimation is shifted
Best idea so far is to increase the network size and redo fit. Momentum vector estimation can now be made, techincally also on real data!
ITS GPU tracking:
ITS tracking:
Mean (ms) ± std. dev. | First kernel | Second kernel | Total time |
Old decoding | 158.47 ± 11.32 | 18.21 ± 3.16 | 179.18 ± 12.83 |
New decoding | 190.54 ± 4.02 | 81.85 ± 4.37 | 273.06 ± 7.31 |
Mean (ms) ± std. dev. | First kernel | Second kernel | Total time |
Old decoding | 204.47 ± 3.37 | 19.16 ± 1.47 | 225.71 ± 3.46 |
New decoding | 269.95 ± 9.23 | 44.43 ± 0.97 | 315.02 ± 9.37 |