The AES Implantation Based on OpenCL for Multi/many Core Architecture. - Osvaldo Gervasi; Diego Russo; Flavio Vella (ICCSA Workshops, 2010)

GPU Computing in EGI Environment Using a Cloud Approach. - Flavio Vella; Riccardo M. Cefalá; Alessandro Costantini; Osvaldo Gervasi; Claudio Tanci (ICCSA Workshops, 2011)

A Simulation Framework for Scheduling Performance Evaluation on CPU-GPU Heterogeneous System. - Flavio Vella; Igor Neri; Osvaldo Gervasi; Sergio Tasso (ICCSA (4), 2012)

CUD@ASP: Experimenting with GPGPUs in ASP solving. - Flavio Vella; Alessandro Dal Palù; Agostino Dovier; Andrea Formisano 001; Enrico Pontelli (CILC, 2013)

On multiple learning schemata in conflict driven solvers. - Andrea Formisano 001; Flavio Vella (ICTCS, 2014)

A Simulation Framework for Efficient Resource Management on Hybrid Systems. - Sergio Tasso; Osvaldo Gervasi; Flavio Vella; Alfredo Cuzzocrea (CSE, 2015)

Parallel Execution of the ASP Computation - an Investigation on GPUs. - Agostino Dovier; Andrea Formisano 001; Enrico Pontelli; Flavio Vella (ICLP (Technical Communications), 2015)

Betweenness centrality on Multi-GPU systems. - Massimo Bernaschi; Giancarlo Carbone; Flavio Vella (IA3@SC, 2015)

Solutions to the st-connectivity problem using a GPU-based distributed BFS. - Massimo Bernaschi; Giancarlo Carbone; Enrico Mastrostefano; Flavio Vella (J. Parallel Distributed Comput., 2015)

Scalable betweenness centrality on multi-GPU systems. - Massimo Bernaschi; Giancarlo Carbone; Flavio Vella (Conf. Computing Frontiers, 2016)

A DBMS-Based System for Integrating Grids and Clouds: Anatomy, Models, Functionalities. - Mirko Mariotti; Osvaldo Gervasi; Flavio Vella; Alessandro Costantini; Alfredo Cuzzocrea (ICC 2016, 2016)

A GPU Implementation of the ASP Computation. - Agostino Dovier; Andrea Formisano 001; Enrico Pontelli; Flavio Vella (PADL, 2016)

Betweenness Centrality is more Parallelizable than Dense Matrix Multiplication. - Edgar Solomonik; Maciej Besta; Flavio Vella; Torsten Hoefler (CoRR, 2016)

Algorithms and Heuristics for Scalable Betweenness Centrality Computation on Multi-GPU Systems. - Flavio Vella; Giancarlo Carbone; Massimo Bernaschi (CoRR, 2016)

Transparent Caching for RMA Systems. - Salvatore Di Girolamo; Flavio Vella; Torsten Hoefler (IPDPS, 2017)

Accelerating Energy Games Solvers on Modern Architectures. - Andrea Formisano 001; Raffaella Gentilini; Flavio Vella (IA3@SC, 2017)

Scaling betweenness centrality using communication-efficient sparse matrix multiplication. - Edgar Solomonik; Maciej Besta; Flavio Vella; Torsten Hoefler (SC, 2017)

Effectively and Efficiently Supporting Grid and Cloud Integration via a DBMS-based Framework. - Alfredo Cuzzocrea; Osvaldo Gervasi; Mirko Mariotti; Flavio Vella; Alessandro Costantini (SEBD, 2017)

Multi-objective autotuning of MobileNets across the full software/hardware stack. - Anton Lokhmotov; Nikolay Chunosov; Flavio Vella; Grigori Fursin (ReQuEST@ASPLOS, 2018)

A model-driven approach for a new generation of adaptive libraries. - Marco Cianfriglia; Flavio Vella; Cedric Nugteren; Anton Lokhmotov; Grigori Fursin (CoRR, 2018)

Strategies and systems towards grids and clouds integration: A DBMS-based solution. - Mirko Mariotti; Osvaldo Gervasi; Flavio Vella; Alfredo Cuzzocrea; Alessandro Costantini (Future Gener. Comput. Syst., 2018)

Dynamic Merging of Frontiers for Accelerating the Evaluation of Betweenness Centrality. - Flavio Vella; Massimo Bernaschi; Giancarlo Carbone (ACM J. Exp. Algorithmics, 2018)

Multilevel Parallelism for the Exploration of Large-Scale Graphs. - Massimo Bernaschi; Mauro Bisson; Enrico Mastrostefano; Flavio Vella (IEEE Trans. Multi Scale Comput. Syst., 2018)

Graph analytics on modern massively parallel systems. - Flavio Vella (2018)

Towards a Learning-Based Performance Modeling for Accelerating Deep Neural Networks. - Damiano Perri; Paolo Sylos Labini; Osvaldo Gervasi; Sergio Tasso; Flavio Vella (ICCSA (1), 2019)

GPU-Based Parallelism for ASP-Solving. - Agostino Dovier; Andrea Formisano 001; Flavio Vella (DECLARE, 2019)

A Computational Model for Tensor Core Units. - Francesco Silvestri 001; Flavio Vella (CoRR, 2019)

A Computational Model for Tensor Core Units. - Rezaul Chowdhury; Francesco Silvestri 001; Flavio Vella (SPAA, 2020)

Analysis of SARS-CoV-2 protein interactome map. - Paola Lecca; Bruno Carpentieri; Paolo Sylos Labini; Flavio Vella; Emidio Troiani; Attilio Cavezzi (BIBM, 2021)

Algorithm Design for Tensor Units. - Rezaul Chowdhury; Francesco Silvestri 001; Flavio Vella (Euro-Par, 2021)

On the Anatomy of Predictive Models for Accelerating GPU Convolution Kernels and Beyond. - Paolo Sylos Labini; Marco Cianfriglia; Damiano Perri; Osvaldo Gervasi; Grigori Fursin; Anton Lokhmotov; Cedric Nugteren; Bruno Carpentieri; Fabiana Zollo; Flavio Vella (ACM Trans. Archit. Code Optim., 2021)

Scalable Energy Games Solvers on GPUs. - Andrea Formisano 001; Raffaella Gentilini; Flavio Vella (IEEE Trans. Parallel Distributed Syst., 2021)

Asynchronous Distributed-Memory Triangle Counting and LCC with RMA Caching. - András Strausz; Flavio Vella; Salvatore Di Girolamo; Maciej Besta; Torsten Hoefler (IPDPS, 2022)

Blocking Sparse Matrices to Leverage Dense-Specific Multiplication. - Paolo Sylos Labini; Massimo Bernaschi; Werner Nutt; Francesco Silvestri 001; Flavio Vella (IA3@SC, 2022)

ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations. - 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; et al. (SC, 2022)

Blocking Techniques for Sparse Matrix Multiplication on Tensor Accelerators. - Paolo Sylos Labini; Massimo Bernaschi; Francesco Silvestri 001; Flavio Vella (CoRR, 2022)

Dataset_ScalableEnergyGamesSolversOnGPUs. - Andrea Formisano 001; Raffaella Gentilini; Flavio Vella (IEEE DataPort, 2022)

The potential of high-performance computing for the Internet of Sounds. - Luca Turchet; Flavio Vella; Sandro Luigi (IS2, 2023)

High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations. - 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; et al. (SC, 2023)

GNN Scaling 0.1 Software Artifact. - 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; et al. (Zenodo, 2023)

A Multi-GPU Aggregation-Based AMG Preconditioner for Iterative Linear Solvers. - Massimo Bernaschi; Alessandro Celestini; Flavio Vella; Pasqua D'Ambra (IEEE Trans. Parallel Distributed Syst., 2023)

Scaling Expected Force: Efficient Identification of Key Nodes in Network-Based Epidemic Models. - Paolo Sylos Labini; Andrej Jurco; Matteo Ceccarello; Stefano Guarino; Enrico Mastrostefano; Flavio Vella (PDP, 2024)

High Performance Unstructured SpMM Computation Using Tensor Cores. - Patrik Okanovic; Grzegorz Kwasniewski; Paolo Sylos Labini; Maciej Besta; Flavio Vella; Torsten Hoefler (SC, 2024)

Benchmarking Ethernet Interconnect for HPC/AI workloads. - Lorenzo Pichetti; Daniele De Sensi; Karthee Sivalingam; Stepan Nassyr; Daniele Cesarini; Matteo Turisini; Dirk Pleiter; Aldo Artigiani; Flavio Vella (SC Workshops, 2024)

Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects. - 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; et al. (SC, 2024)

On the Efficacy of Surface Codes in Compensating for Radiation Events in Superconducting Devices. - Marzio Vallero; Gioele Casagranda; Flavio Vella; Paolo Rech (SC, 2024)

cuVegas: Accelerate Multidimensional Monte Carlo Integration through a Parallelized CUDA-based Implementation of the VEGAS Enhanced Algorithm. - Emiliano Tolotti; Anas Jnini; Flavio Vella; Roberto Passerone (CoRR, 2024)

Dependable Classical-Quantum Computer Systems Engineering. - Edoardo Giusto; Santiago Núñez-Corrales; Phuong Cao; Alessandro Cilardo; Ravishankar K. Iyer; Weiwen Jiang; Paolo Rech; Flavio Vella; Bartolomeo Montrucchio; Samudra Dasgupta; Travis S. Humble (CoRR, 2024)

The Landscape of GPU-Centric Communication. - Didem Unat; Ilyas Turimbetov; Mohammad Kefah Taha Issa; Dogan Sagbili; Flavio Vella; Daniele De Sensi; Ismayil Ismayilov (CoRR, 2024)

Assessing the Impact of Compiler Optimizations on GPUs Reliability. - Fernando Fernandes dos Santos; Luigi Carro; Flavio Vella; Paolo Rech (ACM Trans. Archit. Code Optim., 2024)

European Test Symposium Teams: an Anniversary Snapshot. - Maksim Jenihhin; Jaan Raik; Artur Jutman; Natalia Cherezova; Raimund Ubar; Liviu Miclea; Szilárd Enyedi; I. Stefan; Ovidiu Stan; Cosmina Corches; Z. Peng; Petru Eles; et al. (ETS, 2025)

Cache-optimized BFS on multi-core CPUs. - Salvatore Domenico Andaloro; Thomas Pasquali; Flavio Vella (FCPC@PPOPP, 2025)

Architecture, Simulation and Software Stack to Support Post-CMOS Accelerators: The ARCHYTAS Project. - Giovanni Agosta; Stefano Cherubin; Derek Christ; Francesco Conti 001; Asbjørn Djupdal; Matthias Jung 001; Georgios Keramidas; Roberto Passerone; Paolo Rech; Elisa Ricci 001; Philippe Velha; Flavio Vella; et al. (ISVLSI, 2025)

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra. - Julian Bellavita; Thomas Pasquali; Laura Del Rio Martin; Flavio Vella; Giulia Guidi (PPoPP, 2025)

Riemann Tensor Neural Networks: Learning Conservative Systems with Physics-Constrained Networks. - Anas Jnini; Lorenzo Breschi; Flavio Vella (CoRR, 2025)

Physics-constrained DeepONet for Surrogate CFD models: a curved backward-facing step case. - Anas Jnini; Harshinee Goordoyal; Sujal Dave; Flavio Vella; Katharine H. Fraser; Artem Korobenko (CoRR, 2025)

Dual Natural Gradient Descent for Scalable Training of Physics-Informed Neural Networks. - Anas Jnini; Flavio Vella (CoRR, 2025)

State of practice: Evaluating GPU performance of state vector and tensor network methods. - Marzio Vallero; Paolo Rech; Flavio Vella (Future Gener. Comput. Syst., 2026)