SMARTHEP Edge Machine Learning School

23 Sept 2024, 09:00 → 27 Sept 2024, 18:00 Europe/Zurich

Anna Sfyrla (Universite de Geneve (CH)), Maurizio Pierini (CERN), Sioni Paris Summers (CERN), Thea Aarrestad (ETH Zurich (CH))

Welcome to the NextGen and SMARTHEP School on Edge Machine Learning! 

This  training program is designed to provide participants with knowledge and hands-on experience in the emerging field of Edge Machine Learning, tailored for applications at the LHC.

The program includes introductory lectures, tutorials, and seminars covering a variety of related topics, with ample time for discussion. Tutorials include:

• Model compression techniques
• Efficient GPU inference
• Efficient FPGA inference
• Neuromorphic computing and spiking neural networks
  
• Heterogeneous accelerated computing

 

We will also feature talks on real-time inference applications for autonomous vehicles, satellites, gravitational wave physics, high energy particle physics and more.

Additionally, the program features contributed flash talks and poster sessions, allowing attendees to share their work and insights. And a PhD student poster prize awaits!

Monday, 23 September

09:00 → 10:45 Lectures: ML

09:00 Introduction to ML

Speaker: Michael Kagan (SLAC National Accelerator Laboratory (US))

09:30 Discussion

09:45 ML on the Edge at the LHC experiments

Speaker: Dylan Sheldon Rankin (University of Pennsylvania (US))

10:30 Discussion

10:45 → 11:15 Coffee break

11:15 → 12:00 Lectures: GPUs

11:15 Introduction to GPUs

Speaker: NVIDIA team

11:45 Discussion

12:00 → 13:30 Lunch break

13:30 → 14:30 Lectures: GPUs

13:30 ML inference on GPUs

Speaker: NVIDIA team

14:15 Discussion

14:30 → 16:30 Tutorial: GPUs

14:30 Tutorial on network optimization for GPUs

Speaker: NVIDIA team

16:30 → 18:00 Flash talks / poster session: Topical poster session (depending on abstracts)

16:30 Flash talks / Poster session

Tuesday, 24 September

09:00 → 11:00 Lectures: FPGAs

09:00 Introduction to FPGAs and FPGA inference

Speaker: Mario Ruiz Noguera (AMD)

09:45 AMD Brevitas QAT and the FINN compiler

Speaker: Mario Ruiz Noguera (AMD)

11:00 → 11:15 Coffee break

11:15 → 12:30 Lectures: Heterogeneous Accelerated Compute Cluster - HACC

11:15 Heterogeneous Accelerated Compute Cluster

Speaker: Prof. Gustavo Alonso (ETHZ)

HACC

12:00 Discussion

12:30 → 13:45 Lunch break

13:45 → 16:00 Tutorial: FPGAs

13:45 QONNX

Speakers: AMD/XILINX team, Marius Köppel (ETH Zurich (CH))

14:15 Discussion

14:30 Training a fully quantized NN with HGQ and using the QONNX profiling tools

Speakers: AMD/XILINX team, Chang Sun (California Institute of Technology (US)), Marius Köppel (ETH Zurich (CH))

16:00 → 16:30 Coffee break

16:30 → 17:45 Flash talks / poster session: Topical poster session (depending on abstracts)

16:30 Flash talks / poster session

Wednesday, 25 September

09:00 → 10:45 Tutorial: FPGAs

09:00 Training a quantized/pruned NN with QKeras/Tensorflow and deployment with hls4ml (via QONNX)[hls4ml team]

Speakers: Benjamin Ramhorst (ETHZ), Benjamin Ramhorst (Imperial College (GB))

10:45 → 11:15 Coffee break

11:15 → 12:30 Lectures: Edge ML out of HEP

11:15 Edge inference for autonomous vehicles

Speaker: Hampus Otto Linander (Verses AI)

12:00 Discussion

12:30 → 14:00 Lunch break

14:00 → 15:00 Lectures: Neuromorphic computing

14:00 Neuromorphic computing

Speakers: Stanislaw Wozniak (IBM Research), Thomas Ortner (IBM Research)

14:45 Discussion

15:00 → 15:15 Coffee break

15:15 → 16:45 Tutorial: Neuromorphic computing

15:15 Tutorial on neuromorphic computing

Speaker: IBM Research

17:00 → 18:00 Lectures: Satellite

17:00 Real time applications in earth-monitoring satellites

Speakers: Agenium Space, François Devieilleville (Agenium)

17:30 Discussion

Thursday, 26 September

09:00 → 10:00 Tutorial: FPGAs

09:00 Vitis AI / Intel AI ?

09:45 Discussion

10:00 → 11:00 Lectures: Greenwaves Technologies

10:00 Greanwaves Technologies - ultralow power AI processors

Speaker: Marco Fariselli (Greenwave technologies)

10:45 Discussion

11:00 → 11:15 Coffee break

11:15 → 12:15 Lectures: GROQ

11:15 GROQ: Inference at the speed of data

Speaker: Tobias Becker (Maxeler Technologies)

12:15 → 13:30 Lunch break

13:30 → 14:55 Lectures

13:30 Real-time processing for gravitational wave physics

Speaker: Eric Anton Moreno (Massachusetts Institute of Technology (US))

14:00 Discussion

14:10 Real-time processing at CTAO

Speaker: Matthieu Heller (Universite de Geneve (CH))

14:40 Discussion

15:00 → 16:00 Closing session

15:00 Poster prizes

15:30 Closing talk

Friday, 27 September

09:00 → 18:00 NGT workshop: hls4ml HEP community forum

hls4ml HEP Community Forum

09:00 → 18:00 Overflow day to allocate depending on wishes or needs: SMARTHEP specific