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ORCIDPaolo Sylos Labini
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Journal Articles
- 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)
Conference and Workshop Papers
- 2024
- [c7]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 - [c6]Patrik Okanovic, Grzegorz Kwasniewski, Paolo Sylos Labini, Maciej Besta, Flavio Vella, Torsten Hoefler:
High Performance Unstructured SpMM Computation Using Tensor Cores. SC 2024: 54 - 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 - 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 - 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 - 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
Data and Artifacts
- 2023
- [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
Informal and Other Publications
- 2024
- [i5]Patrik Okanovic, Grzegorz Kwasniewski, Paolo Sylos Labini, Maciej Besta, Flavio Vella, Torsten Hoefler:
High Performance Unstructured SpMM Computation Using Tensor Cores. CoRR abs/2408.11551 (2024) - 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
- [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)
Coauthor Index
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