2021-10-20
CLUE in Calorimetry
Andi - can run on GPU, so is the EDM GPU friendly? e.g., in CMS
- Yes, the data is GPU friendly
- In Key4hep relevant data is just extracted from EDM4hep
- In ATLAS the data model woudl have to he handled in the same way (not device friendly)
- Felice - create an SOA on the GPU, use an index to link back to the original EDM; for Key4hep might also have a position or energy calibration producer on the GPU
- Andi - Vecmem library is interesting for this, gives a host and device view of a container
- Presentaion in CAF meeting in December (also linking to a GPU friendly geometry layer)
- Could this be connected to PODIO?
- Yes, it encapsulates just this part of data representation (in ACTS, but really it’s “standalone”)
- https://github.com/acts-project/vecmem
Pere - single repository or multiple versions of the code?
- Multiple at the moment - there is a fork that needs to be maintained (albeit that at the moment it’s stable code)
- Single repo would offer a lot of advantages
- It’s under discussion
- Graeme - given the range of applicability this really merits effort
Physics studies started with single particle, then went to multi-particle, ttbar, then adding pile-up
- Marco: HLT TDR for Phase2 of CMS has the most recent results, physics oriented using TICL and CLUE, but inevitably that will fold in other software on top of TICL/CLUE