Neural network seeding vector (https://github.com/AliceO2Group/AliceO2/pull/15756)

• Found a bug in the implementation (missing setting during application, seeding vectors were never used) -> Fixed
• Results don't change much. 0-100% centrality is mostly unchanged, but one improvement can be seen in 0-5% centrality enforced simulation

Is it worth the complications? 🤷‍♂️

ROOT: TMVA SOFIE inference of .onnx models on the EPNs

• Discussion during ROOT Q3 meeting last week: ALICE has great interest to give SOFIE a try. Meeting with SOFIE devs (Lorenzo and Sanjban) was very productive
• One night of synergetic work between me and ChatGPT Codex: Huston, we have liftoff!
  • SOFIE PR: https://github.com/ML4EP/SOFIE/pull/63
  • O2 PR: https://github.com/AliceO2Group/AliceO2/pull/15913
  • alidist PR: https://github.com/alisw/alidist/pull/6369

This brings...

• Support for cuda_ / hip_stream
• GPU code generation and on-the-fly compilation of .onnx models. Inflight-CCDB-loaded models are supported
• Support for FP16 and FP32
• Support for dense layers and ReLU operations
• Support for memory arena pointer (provided by reco framework as scratch allocation)
• Direct interface with SOFIE's generalised kernel generation code

Benchmarks (ONNX to be redone with new software. Old benchmark from over several months ago).

• SOFIE

• ONNX

10% improvement in TF reconstruction time on single GPU benchmark! -> probably 2-3x faster NN inference by SOFIE

AOB

• Brevitas presentation
  • Slides attached, please have a look
  • Presentation is next Monday at 14:30, 30 mins including questions
• New physics accurate event display rendering with blender and video support
  
  

• Testing kubernetes setup with Giada on test nodes
• O2 analysis tutorial
• Will now continue with Sandro's simulation project on the track pruning