Ian Di Dio Lavore

According to our database, Ian Di Dio Lavore authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

On the Effectiveness of Unified Memory in Multi-GPU Collective Communication.

Riccardo Strina, Ian Di Dio Lavore, Marco D. Santambrogio, Michael E. Papka, Zhiling Lan

Proceedings of the 33rd Euromicro International Conference on Parallel, 2025

On the Characterization of GraphML Frameworks: The Case of Semi-Supervised Node Classification.

Alessandro La Conca, Leonardo De Grandis, Ian Di Dio Lavore, Beatrice Branchini, Marco D. Santambrogio

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Harnessing GPU Acceleration for Exact DNA Sequence Matching via the KMP Algorithm.

Beatrice Branchini, Pierluigi Negro, Ian Di Dio Lavore, Marco D. Santambrogio

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Multi-GPU Greedy Scheduling Through a Polyglot Runtime.

Ian Di Dio Lavore, Guido Walter Di Donato, Alberto Parravicini, Francesco Sgherzi, Daniele Bonetta, Marco Domenico Santambrogio

Proceedings of the 22nd ACM International Conference on Computing Frontiers, 2025

2024

Exploring Architectural-Aware Affinity Policies in Modern HPC Runtimes.

Ian Di Dio Lavore, Vito Giovanni Castellana, John Feo, Marco D. Santambrogio

Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

Programming the Future: the Essential Role of System Topology Awareness in Heterogeneous Disaggregated Environments.

Beatrice Branchini, Ian Di Dio Lavore, Vito Giovanni Castellana, Marco D. Santambrogio

Proceedings of the International Symposium on Memory Systems, 2024

GrOUT: Transparent Scale-Out to Overcome UVM's Oversubscription Slowdowns.

Ian Di Dio Lavore, Davide Maffi, Marco Arnaboldi, Arnaud Delamare, Daniele Bonetta, Marco D. Santambrogio

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Custom Accessors: Enabling Scalable Data Ingestion, (Re-)Organization, and Analysis on Distributed Systems.

Vito Giovanni Castellana, Burcu O. Mutlu, Ian Di Dio Lavore, Jesun Firoz, Katherine E. Wolf, Marco Minutoli, John Feo

Proceedings of the IEEE International Conference on Big Data, 2024

2020

A faster approach to ECG analysis in emergency situations.

Marco Di Gennaro, Luigi Fusco, Ian Di Dio Lavore, Eleonora D'Arnese, Marco D. Santambrogio

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020