Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches. - Julian Bellavita; Alex Sim; Kesheng Wu; Inder Monga; Chin Guok; Frank Würthwein; Diego Davila (SNTA@HPDC, 2022)

symPACK: A GPU-Capable Fan-Out Sparse Cholesky Solver. - Julian Bellavita; Mathias Jacquelin; Esmond G. Ng; Dan Bonachea; Johnny Corbino; Paul H. Hargrove (SC Workshops, 2023)

Tackling the Matrix Multiplication Micro-Kernel Generation with Exo. - Adrián Castelló 001; Julian Bellavita; Grace Dinh; Yuka Ikarashi; Héctor Martínez 002 (CGO, 2024)

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra. - Julian Bellavita; Thomas Pasquali; Laura Del Rio Martin; Flavio Vella; Giulia Guidi (PPoPP, 2025)

Parallel GPU-Enabled Algorithms for SpGEMM on Arbitrary Semirings with Hybrid Communication. - Thomas McFarland; Julian Bellavita; Giulia Guidi (ICPE, 2025)