Tecniche Di Machine Learning Con Dispositivi FPGA per Gli Esperimenti Di Fisica Delle Particelle
from
Wednesday, 2 November 2022 (14:00)
to
Friday, 4 November 2022 (16:30)
Monday, 31 October 2022
Tuesday, 1 November 2022
Wednesday, 2 November 2022
14:15
Efficient Machine Learning in High-Energy Physics
-
Jennifer Ngadiuba
(
CMS
)
Efficient Machine Learning in High-Energy Physics
Jennifer Ngadiuba
(
CMS
)
14:15 - 15:00
Room: AULA BP- 2B
15:00
Introduction to FPGA
-
Riccardo Travaglini
(
Istituto Nazionale di Fisica Nucleare
)
Introduction to FPGA
Riccardo Travaglini
(
Istituto Nazionale di Fisica Nucleare
)
15:00 - 15:35
Room: AULA BP- 2B
15:35
Deep Learning inference with FPGA
-
Riccardo Travaglini
(
Istituto Nazionale di Fisica Nucleare
)
Deep Learning inference with FPGA
Riccardo Travaglini
(
Istituto Nazionale di Fisica Nucleare
)
15:35 - 16:00
Room: AULA BP- 2B
16:00
Coffee break
Coffee break
16:00 - 16:30
Room: AULA BP- 2B
16:30
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
)
16:30 - 17:05
Room: AULA BP- 2B
17:05
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
)
17:05 - 17:55
Room: AULA BP- 2B
Thursday, 3 November 2022
09:30
HLS4ML tutorial part 1
-
Thea Aarrestad
(
ETH Zurich
)
Sioni Summers
HLS4ML tutorial part 1
Thea Aarrestad
(
ETH Zurich
)
Sioni Summers
09:30 - 13:00
Room: AULA BP- 2B
Functionalities, quantization and compression
14:30
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
)
14:30 - 17:30
Room: AULA BP- 2B
Demo on real HW or deploying on AWS F1
Friday, 4 November 2022
09:00
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
)
09:00 - 10:00
Room: AULA BP- 2B
10:00
Open discussion and demo
-
Riccardo Travaglini
(
Istituto Nazionale di Fisica Nucleare
)
Open discussion and demo
Riccardo Travaglini
(
Istituto Nazionale di Fisica Nucleare
)
10:00 - 11:00
Room: AULA BP- 2B
11:00
Coffee break
Coffee break
11:00 - 11:30
Room: AULA BP- 2B
11:30
ML/AI with Intel FPGA
-
Vladimir Loncar
ML/AI with Intel FPGA
Vladimir Loncar
11:30 - 12:30
Room: AULA BP- 2B
12:30
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 - 13:00
Room: AULA BP- 2B
14:00
Introduction to Vitis AI
-
Riccardo Travaglini
(
Istituto Nazionale di Fisica Nucleare
)
Introduction to Vitis AI
Riccardo Travaglini
(
Istituto Nazionale di Fisica Nucleare
)
14:00 - 14:20
Room: AULA BP- 2B
14:20
Vitis AI tutorial/hands-on
-
Marco Lorusso
(
Istituto Nazionale di Fisica Nucleare
)
Vitis AI tutorial/hands-on
Marco Lorusso
(
Istituto Nazionale di Fisica Nucleare
)
14:20 - 16:30
Room: AULA BP- 2B