Tommaso Pegolotti

E-MAIL
ADDRESS Universitätstrasse 6, 8092 Zürich, Switzerland
ROOM CAB H83.1

Hello! I am a PhD Student of Markus Püschel. My main field of interest are High-Performance Computing and Code Generation.

Publications

2023

QIGen: Generating Efficient Kernels for Quantized Inference on Large Language Models
Tommaso Pegolotti, Elias Frantar, Dan Alistarh, Markus Püschel
Accepted at the ICML 2023 Efficient Systems for Foundation Models (FOMO) workshop.

SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks
Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh
Oral Presentation at ICML 2023.

2022

Fast Möbius and Zeta Transforms
Tommaso Pegolotti, Bastian Seifert, Markus Püschel
Submitted for publication, 2022

Education

Bachelor (B.Sc.) in Computer Engineering, Politecnico di Milano, Italy	September 2019
Master (M.Sc.) in Computer Science, ETH Zürich, Switzerland advisor Markus Püschel	September 2021