Paolo Sylos Labini

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Frequently Occurring

Matrix Multiplication

Top Venues

Publications

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)
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)
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 (2023)
Paolo Sylos Labini, Massimo Bernaschi, Werner Nutt, Francesco Silvestri, Flavio Vella
Blocking Sparse Matrices to Leverage Dense-Specific Multiplication. IA3@SC (2022)
Damiano Perri, Paolo Sylos Labini, Osvaldo Gervasi, Sergio Tasso, Flavio Vella
Towards a learning-based performance modeling for accelerating Deep Neural Networks. CoRR (2022)
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 (2022)
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)
Paolo Sylos Labini, Massimo Bernaschi, Francesco Silvestri, Flavio Vella
Blocking Techniques for Sparse Matrix Multiplication on Tensor Accelerators. CoRR (2022)
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) (2021)
Paola Lecca, Bruno Carpentieri, Paolo Sylos Labini, Flavio Vella, Emidio Troiani, Attilio Cavezzi
Analysis of SARS-CoV-2 protein interactome map. BIBM (2021)
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)