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ORCIDFlavio Vella
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- affiliation: University of Trento, Italy
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2020 – today
- 2024
[j8]Fernando Fernandes dos Santos
, Luigi Carro, Flavio Vella, Paolo Rech:
Assessing the Impact of Compiler Optimizations on GPUs Reliability. ACM Trans. Archit. Code Optim. 21(2): 26 (2024)- [c27]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 - [i19]Marzio Vallero, Flavio Vella, Paolo Rech:
State of practice: evaluating GPU performance of state vector and tensor network methods. CoRR abs/2401.06188 (2024) - [i18]Marzio Vallero, Gioele Casagranda, Flavio Vella, Paolo Rech:
On the Efficacy of Surface Codes in Compensating for Radiation Events in Superconducting Devices. CoRR abs/2407.10841 (2024) - [i17]Emiliano Tolotti, Anas Jnini, Flavio Vella, Roberto Passerone:
cuVegas: Accelerate Multidimensional Monte Carlo Integration through a Parallelized CUDA-based Implementation of the VEGAS Enhanced Algorithm. CoRR abs/2408.09229 (2024) - [i16]Edoardo Giusto, Santiago Nuñez-Corrales, Phuong Cao, Alessandro Cilardo, Ravishankar K. Iyer, Weiwen Jiang, Paolo Rech, Flavio Vella, Bartolomeo Montrucchio, Samudra Dasgupta, Travis S. Humble:
Dependable Classical-Quantum Computer Systems Engineering. CoRR abs/2408.10484 (2024) - [i15]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) - [i14]Daniele De Sensi, Lorenzo Pichetti, Flavio Vella, Tiziano De Matteis, Zebin Ren, Luigi Fusco, Matteo Turisini, Daniele Cesarini, Kurt Lust, Animesh Trivedi, Duncan Roweth, Filippo Spiga, Salvatore Di Girolamo, Torsten Hoefler:
Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects. CoRR abs/2408.14090 (2024) - [i13]Didem Unat, Ilyas Turimbetov, Mohammad Kefah Taha Issa, Dogan Sagbili, Flavio Vella, Daniele De Sensi, Ismayil Ismayilov:
The Landscape of GPU-Centric Communication. CoRR abs/2409.09874 (2024) - 2023
- [j7]Massimo Bernaschi, Alessandro Celestini, Flavio Vella, Pasqua D'Ambra:
A Multi-GPU Aggregation-Based AMG Preconditioner for Iterative Linear Solvers. IEEE Trans. Parallel Distributed Syst. 34(8): 2365-2376 (2023) - [c26]Luca Turchet, Flavio Vella, Sandro Luigi:
The potential of high-performance computing for the Internet of Sounds. IS2 2023: 1-7 - [c25]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 - [d2]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
- [i12]Massimo Bernaschi, Alessandro Celestini, Pasqua D'Ambra, Flavio Vella:
Multi-GPU aggregation-based AMG preconditioner for iterative linear solvers. CoRR abs/2303.02352 (2023) - [i11]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
- [c24]András Strausz, Flavio Vella, Salvatore Di Girolamo, Maciej Besta, Torsten Hoefler:
Asynchronous Distributed-Memory Triangle Counting and LCC with RMA Caching. IPDPS 2022: 291-301 - [c23]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 - [c22]Paolo Sylos Labini, Massimo Bernaschi, Werner Nutt, Francesco Silvestri, Flavio Vella:
Blocking Sparse Matrices to Leverage Dense-Specific Multiplication. IA3@SC 2022: 19-24 - [d1]Andrea Formisano, Raffaella Gentilini, Flavio Vella:
Dataset_ScalableEnergyGamesSolversOnGPUs. IEEE DataPort, 2022 - [i10]Paolo Sylos Labini, Massimo Bernaschi, Francesco Silvestri, Flavio Vella:
Blocking Techniques for Sparse Matrix Multiplication on Tensor Accelerators. CoRR abs/2202.05868 (2022) - [i9]András Strausz, Flavio Vella, Salvatore Di Girolamo, Maciej Besta, Torsten Hoefler:
Asynchronous Distributed-Memory Triangle Counting and LCC with RMA Caching. CoRR abs/2202.13976 (2022) - [i8]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) - [i7]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
- [j6]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) - [j5]Andrea Formisano, Raffaella Gentilini, Flavio Vella:
Scalable Energy Games Solvers on GPUs. IEEE Trans. Parallel Distributed Syst. 32(12): 2970-2982 (2021) - [c21]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 - [c20]Rezaul Chowdhury, Francesco Silvestri, Flavio Vella:
Algorithm Design for Tensor Units. Euro-Par 2021: 353-367 - 2020
- [c19]Rezaul Chowdhury, Francesco Silvestri, Flavio Vella:
A Computational Model for Tensor Core Units. SPAA 2020: 519-521
2010 – 2019
- 2019
- [c18]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 - [c17]Agostino Dovier, Andrea Formisano, Flavio Vella:
GPU-Based Parallelism for ASP-Solving. DECLARE 2019: 3-23 - [i6]Francesco Silvestri, Flavio Vella:
A Computational Model for Tensor Core Units. CoRR abs/1908.06649 (2019) - [i5]Agostino Dovier, Andrea Formisano, Flavio Vella:
GPU-based parallelism for ASP-solving. CoRR abs/1909.01786 (2019) - 2018
- [b1]Flavio Vella:
Graph analytics on modern massively parallel systems. Sapienza University of Rome, Italy, 2018 - [j4]Mirko Mariotti, Osvaldo Gervasi, Flavio Vella, Alfredo Cuzzocrea, Alessandro Costantini:
Strategies and systems towards grids and clouds integration: A DBMS-based solution. Future Gener. Comput. Syst. 88: 718-729 (2018) - [j3]Flavio Vella, Massimo Bernaschi, Giancarlo Carbone:
Dynamic Merging of Frontiers for Accelerating the Evaluation of Betweenness Centrality. ACM J. Exp. Algorithmics 23 (2018) - [j2]Massimo Bernaschi, Mauro Bisson, Enrico Mastrostefano, Flavio Vella:
Multilevel Parallelism for the Exploration of Large-Scale Graphs. IEEE Trans. Multi Scale Comput. Syst. 4(3): 204-216 (2018) - [c16]Anton Lokhmotov, Nikolay Chunosov, Flavio Vella, Grigori Fursin:
Multi-objective autotuning of MobileNets across the full software/hardware stack. ReQuEST@ASPLOS 2018: 6 - [i4]Marco Cianfriglia, Flavio Vella, Cedric Nugteren, Anton Lokhmotov, Grigori Fursin:
A model-driven approach for a new generation of adaptive libraries. CoRR abs/1806.07060 (2018) - 2017
- [c15]Salvatore Di Girolamo, Flavio Vella, Torsten Hoefler:
Transparent Caching for RMA Systems. IPDPS 2017: 1018-1027 - [c14]Andrea Formisano, Raffaella Gentilini, Flavio Vella:
Accelerating Energy Games Solvers on Modern Architectures. IA3@SC 2017: 12:1-12:4 - [c13]Edgar Solomonik, Maciej Besta, Flavio Vella, Torsten Hoefler:
Scaling betweenness centrality using communication-efficient sparse matrix multiplication. SC 2017: 47 - [c12]Alfredo Cuzzocrea, Osvaldo Gervasi, Mirko Mariotti, Flavio Vella, Alessandro Costantini:
Effectively and Efficiently Supporting Grid and Cloud Integration via a DBMS-based Framework. SEBD 2017: 291 - [i3]Andrea Formisano, Raffaella Gentilini, Flavio Vella:
Accelerating Energy Games Solvers on Modern Architectures. CoRR abs/1710.03647 (2017) - 2016
- [c11]Massimo Bernaschi, Giancarlo Carbone, Flavio Vella:
Scalable betweenness centrality on multi-GPU systems. Conf. Computing Frontiers 2016: 29-36 - [c10]Mirko Mariotti, Osvaldo Gervasi, Flavio Vella, Alessandro Costantini, Alfredo Cuzzocrea:
A DBMS-Based System for Integrating Grids and Clouds: Anatomy, Models, Functionalities. ICC 2016 2016: 75:1-75:8 - [c9]Agostino Dovier, Andrea Formisano, Enrico Pontelli, Flavio Vella:
A GPU Implementation of the ASP Computation. PADL 2016: 30-47 - [i2]Flavio Vella, Giancarlo Carbone, Massimo Bernaschi:
Algorithms and Heuristics for Scalable Betweenness Centrality Computation on Multi-GPU Systems. CoRR abs/1602.00963 (2016) - [i1]Edgar Solomonik, Maciej Besta, Flavio Vella, Torsten Hoefler:
Betweenness Centrality is more Parallelizable than Dense Matrix Multiplication. CoRR abs/1609.07008 (2016) - 2015
- [j1]Massimo Bernaschi, Giancarlo Carbone, Enrico Mastrostefano, Flavio Vella:
Solutions to the st-connectivity problem using a GPU-based distributed BFS. J. Parallel Distributed Comput. 76: 145-153 (2015) - [c8]Sergio Tasso, Osvaldo Gervasi, Flavio Vella, Alfredo Cuzzocrea:
A Simulation Framework for Efficient Resource Management on Hybrid Systems. CSE 2015: 216-223 - [c7]Agostino Dovier, Andrea Formisano, Enrico Pontelli, Flavio Vella:
Parallel Execution of the ASP Computation - an Investigation on GPUs. ICLP (Technical Communications) 2015 - [c6]Massimo Bernaschi, Giancarlo Carbone, Flavio Vella:
Betweenness centrality on Multi-GPU systems. IA3@SC 2015: 12:1-12:4 - 2014
- [c5]Andrea Formisano, Flavio Vella:
On multiple learning schemata in conflict driven solvers. ICTCS 2014: 133-146 - 2013
- [c4]Flavio Vella, Alessandro Dal Palù, Agostino Dovier, Andrea Formisano, Enrico Pontelli:
CUD@ASP: Experimenting with GPGPUs in ASP solving. CILC 2013: 163-177 - 2012
- [c3]Flavio Vella, Igor Neri, Osvaldo Gervasi, Sergio Tasso:
A Simulation Framework for Scheduling Performance Evaluation on CPU-GPU Heterogeneous System. ICCSA (4) 2012: 457-469 - 2011
- [c2]Flavio Vella, Riccardo M. Cefalá, Alessandro Costantini, Osvaldo Gervasi, Claudio Tanci:
GPU Computing in EGI Environment Using a Cloud Approach. ICCSA Workshops 2011: 150-155 - 2010
- [c1]Osvaldo Gervasi, Diego Russo, Flavio Vella:
The AES Implantation Based on OpenCL for Multi/many Core Architecture. ICCSA Workshops 2010: 129-134
Coauthor Index
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last updated on 2024-10-16 20:30 CEST by the dblp team
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