Name: E4 f2f meeting
Start: 2019-10-04T01:40:00+02:00
End: 2019-10-04T12:20:00+02:00
Location: CERN

- 10:00 → 10:15
  
  Status f the testbed ((Hw status, librariesAccess, activities, benchmarking, support issues,) 15m
  
  Speaker: Guillermo Izquierdo Moreno (Universidad de Oviedo (ES))
- 10:15 → 10:30
  
  News from E4 and Nvidia 15m
  
  Speakers: Daniele Gregori (E4), Piero qltoe (NVIDIA)
- 10:30 → 10:40
  
  DL for fast simulation on GPU 10m
  
  Speaker: Dr Sofia Vallecorsa (CERN)
  
  3DGAN_E4October2019.pdf
- 10:40 → 10:50
  
  Managing efficiently GPU resources for multi sciences at Flatiron 10m
  
  Speaker: Dr Ian Fisk (Simons Foundation)
  
  E4_FLATIRON.pdf E4_FLATIRON.pptx
- 10:50 → 11:00
  
  Distributed Training, hyper-parameter optimisation, Tensor Flow evolution (Google Presenatation TBC)) 10m
  
  Speaker: Dr Jean-Roch Vlimant (California Institute of Technology (US))
  
  vlimant_E4-DistrL_Oct19.pdf
- 11:00 → 11:10
  
  Graph neural networks for HEP data 10m
  
  Speaker: Thong Nguyen (California Institute of Technology (US))
  
  Graph Neural Networks in HEP.pdf Slides
- 11:10 → 11:20
  
  Particle reconstruction with DL in the HGCAL 10m
  
  Speaker: Jan Kieseler (CERN)
  
  caloGraph_openlab Oct19.pdf
- 11:20 → 11:30
  
  Accelerating the CMS HLT heterogeneus architectures 10m
  
  Speakers: Dr Andrea Bocci (CERN), Felice Pantaleo (CERN)
  
  20191004_Felice_E4 (1).pdf
- 11:30 → 11:40
  
  The LHCb's Allen project: HLT1 trigger on GPGPUs 10m
  
  Speaker: Roel Aaij (Nikhef National institute for subatomic physics (NL))
  
  raaij_Allen_e4_f2f_v2.pdf
- 11:40 → 11:45
  
  Using Model-Assisted Generative Adversarial Networks to Produce a Fast Simulation of the LHCb PID Response 5m
  
  Speaker: Ifan Williams (University of Cambridge (GB))
- 11:45 → 11:55
  
  Benchmark and optimise TMVA DL on NVIDIA GPU 10m
  
  Speaker: Lorenzo Moneta (CERN)
  
  ROOT_Nvidia_project_Oct2019.pdf
- 11:55 → 12:05
  
  Wrap-up and Next steps 10m

E4 f2f meeting

513/R-070 - Openlab Space

CERN