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