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Paolo Sylos Labini
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2020 – today
- 2024
- [c6]Paolo Sylos Labini
, Andrej Jurco, Matteo Ceccarello
, Stefano Guarino
, Enrico Mastrostefano
, Flavio Vella
:
Scaling Expected Force: Efficient Identification of Key Nodes in Network-Based Epidemic Models. PDP 2024: 98-107 - 2023
- [c5]Maciej Besta
, Pawel Renc
, Robert Gerstenberger
, Paolo Sylos Labini
, Alexandros Nikolaos Ziogas
, Tiancheng Chen
, Lukas Gianinazzi
, Florian Scheidl
, Kalman Szenes
, Armon Carigiet
, Patrick Iff
, Grzegorz Kwasniewski
, Raghavendra Kanakagiri
, Chio Ge
, Sammy Jaeger
, Jaroslaw Was
, Flavio Vella
, Torsten Hoefler
:
High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations. SC 2023: 66:1-66:16 - [d1]Maciej Besta, Pawel Renc
, Robert Gerstenberger
, Paolo Sylos Labini
, Alexandros Nikolaos Ziogas
, Tiancheng Chen, Lukas Gianinazzi
, Florian Scheidl
, Kalman Szenes
, Armon Carigiet
, Patrick Iff
, Grzegorz Kwasniewski
, Raghavendra Kanakagiri
, Chio Ge
, Sammy Jaeger, Jaroslaw Was
, Flavio Vella
, Torsten Hoefler
:
GNN Scaling 0.1 Software Artifact. Zenodo, 2023 - [i4]Paolo Sylos Labini, Andrej Jurco, Matteo Ceccarello, Stefano Guarino, Enrico Mastrostefano, Flavio Vella:
Scaling Expected Force: Efficient Identification of Key Nodes in Network-based Epidemic Models. CoRR abs/2306.00606 (2023) - 2022
- [c4]Maciej Besta, Cesare Miglioli
, Paolo Sylos Labini
, Jakub Tetek, Patrick Iff, Raghavendra Kanakagiri, Saleh Ashkboos, Kacper Janda, Michal Podstawski, Grzegorz Kwasniewski, Niels Gleinig, Flavio Vella
, Onur Mutlu, Torsten Hoefler:
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations. SC 2022: 43:1-43:17 - [c3]Paolo Sylos Labini, Massimo Bernaschi, Werner Nutt, Francesco Silvestri, Flavio Vella
:
Blocking Sparse Matrices to Leverage Dense-Specific Multiplication. IA3@SC 2022: 19-24 - [i3]Paolo Sylos Labini, Massimo Bernaschi, Francesco Silvestri, Flavio Vella:
Blocking Techniques for Sparse Matrix Multiplication on Tensor Accelerators. CoRR abs/2202.05868 (2022) - [i2]Maciej Besta, Cesare Miglioli, Paolo Sylos Labini
, Jakub Tetek, Patrick Iff, Raghavendra Kanakagiri, Saleh Ashkboos, Kacper Janda, Michal Podstawski, Grzegorz Kwasniewski, Niels Gleinig, Flavio Vella, Onur Mutlu, Torsten Hoefler:
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations. CoRR abs/2208.11469 (2022) - [i1]Damiano Perri, Paolo Sylos Labini, Osvaldo Gervasi, Sergio Tasso, Flavio Vella:
Towards a learning-based performance modeling for accelerating Deep Neural Networks. CoRR abs/2212.05031 (2022) - 2021
- [j1]Paolo Sylos Labini, Marco Cianfriglia, Damiano Perri
, Osvaldo Gervasi
, Grigori Fursin, Anton Lokhmotov, Cedric Nugteren, Bruno Carpentieri, Fabiana Zollo
, Flavio Vella
:
On the Anatomy of Predictive Models for Accelerating GPU Convolution Kernels and Beyond. ACM Trans. Archit. Code Optim. 18(1): 16:1-16:24 (2021) - [c2]Paola Lecca
, Bruno Carpentieri, Paolo Sylos Labini, Flavio Vella
, Emidio Troiani
, Attilio Cavezzi:
Analysis of SARS-CoV-2 protein interactome map. BIBM 2021: 2429-2436
2010 – 2019
- 2019
- [c1]Damiano Perri
, Paolo Sylos Labini
, Osvaldo Gervasi
, Sergio Tasso
, Flavio Vella
:
Towards a Learning-Based Performance Modeling for Accelerating Deep Neural Networks. ICCSA (1) 2019: 665-676
Coauthor Index
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last updated on 2024-07-20 21:21 CEST by the dblp team
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