Name: Tecniche Di Machine Learning Con Dispositivi FPGA per Gli Esperimenti Di Fisica Delle Particelle
Start: 2022-11-02T14:00:00+01:00
End: 2022-11-04T16:30:00+01:00
Location: Infn

Tecniche Di  Machine Learning Con Dispositivi FPGA  per Gli Esperimenti Di Fisica Delle Particelle

from Wednesday, November 2, 2022 (2:00 PM) to Friday, November 4, 2022 (4:30 PM)

Monday, October 31, 2022
Tuesday, November 1, 2022
Wednesday, November 2, 2022
2:15 PM Efficient Machine Learning in High-Energy Physics - Jennifer Ngadiuba (CMS)
Efficient Machine Learning in High-Energy Physics
- Jennifer Ngadiuba (CMS)
2:15 PM - 3:00 PM
Room: AULA BP- 2B
3:00 PM Introduction to FPGA - Riccardo Travaglini (Istituto Nazionale di Fisica Nucleare)
Introduction to FPGA
- Riccardo Travaglini (Istituto Nazionale di Fisica Nucleare)
3:00 PM - 3:35 PM
Room: AULA BP- 2B
3:35 PM Deep Learning inference with FPGA - Riccardo Travaglini (Istituto Nazionale di Fisica Nucleare)
Deep Learning inference with FPGA
- Riccardo Travaglini (Istituto Nazionale di Fisica Nucleare)
3:35 PM - 4:00 PM
Room: AULA BP- 2B
4:00 PM Coffee break
Coffee break
4:00 PM - 4:30 PM
Room: AULA BP- 2B
4:30 PM Fast inference with HLS4ML: Machine Learning with FPGA at LHC - Thea Aarrestad (ETH Zurich)
Fast inference with HLS4ML: Machine Learning with FPGA at LHC
- Thea Aarrestad (ETH Zurich)
4:30 PM - 5:05 PM
Room: AULA BP- 2B
5:05 PM Xilinx ML/AI: technologies (edge, on-premise, on cloud) and solutions (VitisAI, Pynq, …) - Mario Ruiz-Noguera (AMD)
Xilinx ML/AI: technologies (edge, on-premise, on cloud) and solutions (VitisAI, Pynq, …)
- Mario Ruiz-Noguera (AMD)
5:05 PM - 5:55 PM
Room: AULA BP- 2B
Thursday, November 3, 2022
9:30 AM HLS4ML tutorial part 1 - Thea Aarrestad (ETH Zurich) Sioni Summers
HLS4ML tutorial part 1
- Thea Aarrestad (ETH Zurich)
- Sioni Summers
9:30 AM - 1:00 PM
Room: AULA BP- 2B Functionalities, quantization and compression
2:30 PM HLS4ML tutorial part 2 - Thea Aarrestad (ETH Zurich) Sioni Summers Marco Lorusso (Istituto Nazionale di Fisica Nucleare)
HLS4ML tutorial part 2
- Thea Aarrestad (ETH Zurich)
- Sioni Summers
- Marco Lorusso (Istituto Nazionale di Fisica Nucleare)
2:30 PM - 5:30 PM
Room: AULA BP- 2B Demo on real HW or deploying on AWS F1
Friday, November 4, 2022
9:00 AM Deep Learning inference with the Bond Machine project: introduction and demo - Mirko Mariotti (Istituto Nazionale di Fisica Nucleare)
Deep Learning inference with the Bond Machine project: introduction and demo
- Mirko Mariotti (Istituto Nazionale di Fisica Nucleare)
9:00 AM - 10:00 AM
Room: AULA BP- 2B
10:00 AM Open discussion and demo - Riccardo Travaglini (Istituto Nazionale di Fisica Nucleare)
Open discussion and demo
- Riccardo Travaglini (Istituto Nazionale di Fisica Nucleare)
10:00 AM - 11:00 AM
Room: AULA BP- 2B
11:00 AM Coffee break
Coffee break
11:00 AM - 11:30 AM
Room: AULA BP- 2B
11:30 AM ML/AI with Intel FPGA - Vladimir Loncar
ML/AI with Intel FPGA
- Vladimir Loncar
11:30 AM - 12:30 PM
Room: AULA BP- 2B
12:30 PM Alternative solutions at the Edge: Lattice, Microchip - Riccardo Travaglini (Istituto Nazionale di Fisica Nucleare)
Alternative solutions at the Edge: Lattice, Microchip
- Riccardo Travaglini (Istituto Nazionale di Fisica Nucleare)
12:30 PM - 1:00 PM
Room: AULA BP- 2B
2:00 PM Introduction to Vitis AI - Riccardo Travaglini (Istituto Nazionale di Fisica Nucleare)
Introduction to Vitis AI
- Riccardo Travaglini (Istituto Nazionale di Fisica Nucleare)
2:00 PM - 2:20 PM
Room: AULA BP- 2B
2:20 PM Vitis AI tutorial/hands-on - Marco Lorusso (Istituto Nazionale di Fisica Nucleare)
Vitis AI tutorial/hands-on
- Marco Lorusso (Istituto Nazionale di Fisica Nucleare)
2:20 PM - 4:30 PM
Room: AULA BP- 2B

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