Paolo Sylos Labini

13 papers A 3C 1Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	High Performance Unstructured SpMM Computation Using Tensor Cores. SC Patrik Okanovic, Grzegorz Kwasniewski, Paolo Sylos Labini, Maciej Besta, Flavio Vella, Torsten Hoefler
2024	J	`jnl`	High Performance Unstructured SpMM Computation Using Tensor Cores. CoRR Patrik Okanovic, Grzegorz Kwasniewski, Paolo Sylos Labini, Maciej Besta, Flavio Vella, Torsten Hoefler
2024	C	`conf`	Scaling Expected Force: Efficient Identification of Key Nodes in Network-Based Epidemic Models. PDP Paolo Sylos Labini, Andrej Jurco, Matteo Ceccarello, Stefano Guarino, Enrico Mastrostefano, Flavio Vella
2023	A	`conf`	High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations. SC 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
2023	J	`jnl`	Scaling Expected Force: Efficient Identification of Key Nodes in Network-based Epidemic Models. CoRR Paolo Sylos Labini, Andrej Jurco, Matteo Ceccarello, Stefano Guarino, Enrico Mastrostefano, Flavio Vella
2022	—	`conf`	Blocking Sparse Matrices to Leverage Dense-Specific Multiplication. IA3@SC Paolo Sylos Labini, Massimo Bernaschi, Werner Nutt, Francesco Silvestri, Flavio Vella
2022	J	`jnl`	Blocking Techniques for Sparse Matrix Multiplication on Tensor Accelerators. CoRR Paolo Sylos Labini, Massimo Bernaschi, Francesco Silvestri, Flavio Vella
2022	A	`conf`	ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations. SC 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
2022	J	`jnl`	ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations. CoRR 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
2022	J	`jnl`	Towards a learning-based performance modeling for accelerating Deep Neural Networks. CoRR Damiano Perri, Paolo Sylos Labini, Osvaldo Gervasi, Sergio Tasso, Flavio Vella
2021	—	`conf`	Analysis of SARS-CoV-2 protein interactome map. BIBM Paola Lecca, Bruno Carpentieri, Paolo Sylos Labini, Flavio Vella, Emidio Troiani, Attilio Cavezzi
2021	J	`jnl`	On the Anatomy of Predictive Models for Accelerating GPU Convolution Kernels and Beyond. ACM Trans. Archit. Code Optim. Paolo Sylos Labini, Marco Cianfriglia, Damiano Perri, Osvaldo Gervasi, Grigori Fursin, Anton Lokhmotov, Cedric Nugteren, Bruno Carpentieri, Fabiana Zollo, Flavio Vella
2019	—	`conf`	Towards a Learning-Based Performance Modeling for Accelerating Deep Neural Networks. ICCSA (1) Damiano Perri, Paolo Sylos Labini, Osvaldo Gervasi, Sergio Tasso, Flavio Vella