Alice Weekly Meeting: Software for Hardware Accelerators / PDP-SRC

Europe/Zurich
Zoom Meeting ID
61230224927
Host
David Rohr
Useful links
Join via phone
Zoom URL
    • 1
      Discussion
      Speakers: David Rohr (CERN), Giulio Eulisse (CERN)
    • 2
      Following up JIRA tickets
      Speaker: Ernst Hellbar (CERN)
    • 3
      TPC ML Clustering
      Speaker: Christian Sonnabend (CERN, Heidelberg University (DE))

      Framework

      • Added GPU timer to ONNX inference for profiling
      • Added deconvolution flags to NN inference for exact matching with GPU CF

       

      Physics

      • Cluster attachment efficiency vs. fake rate for different network inputs and thresholds
        • Attachment efficiency = (correctly attached cls NN / total cls) * (correctly attached cls NN / correctly attached cls GPU CF)

       

      • Network outperforms GPU CF under all thresholds and input sizes. Choice for threshold is determined by number of correctly attached clusters in the next plot
      • Significant benefits from using 3D networks

      • Number of correctly attached clusters

      • Threshold choice for classification network:
        • <= 0.01: Almost no loss in number of correctly attached clusters
        • >0.01 && <0.1: Maximum loss of 5% correctly attached clusters, but can lead to 18% savings in total clusters (see next plot)

      • Number of total clusters

      • CoG (pad) resolution as a function of occupancy for different network sizes (2 to 5 hidden layers; 16, 32, 64, 128 neurons per layer)

      • More layers work better
      • Network with L5 and N128 -> Not great performance, reason: Overtraining! Immediately visible in the logs. Validation loss goes up while training loss goes down / remains constant.
        -> Improvement for the future: Save network at best training loss, best validation loss and network after all epochs are done.
    • 4
      ITS Tracking
      Speaker: Matteo Concas (CERN)
    • 5
      TPC Track Model Decoding on GPU
      Speaker: Gabriele Cimador (Universita e INFN Torino (TO))
    • 6
      Efficient Data Structures
      Speaker: Dr Oliver Gregor Rietmann (CERN)
    • 7
      Following up GPU to-dos
      Speaker: Dr Vikas Singhal (Department of Atomic Energy (IN))
    • 8
      TPC Clusterization / OpenCL / Highly Ionizing Particles
      Speaker: Felix Weiglhofer (Goethe University Frankfurt (DE))