PARCO
Nicola Bombieri
Full Professor
Research interests
Parallel and heterogeneous architectures · Edge computing · Human motion computing · Parallel programming · High-performance computing
Nicola Bombieri is Full Professor at the Department of Engineering for Innovation Medicine of the University of Verona, where he founded and leads PARCO — Parallel Computing. His research focuses on how software and algorithms should be structured when computation has to run efficiently across multi-core CPUs, many-core GPUs, heterogeneous accelerators and resource-constrained edge devices.
A major theme of his work is the development and optimisation of applications under simultaneous performance, power, energy and latency constraints. This spans parallel programming methodologies, workload mapping and scheduling, embedded and edge computing, and techniques for exploiting heterogeneous hardware without treating the underlying architecture as an afterthought. His earlier research also includes electronic design automation, hardware description languages and high-performance simulation.
PARCO’s application work increasingly connects these computing techniques with computer vision and human-motion analysis. Nicola and his collaborators have developed real-time and privacy-aware human pose estimation, gait-analysis systems, motion denoising and completion, and multi-camera sensor-fusion methods intended to run close to the data source. These lines support telemedicine and rehabilitation as well as safe human–robot interaction, linking high-performance and edge computing to concrete cyber-physical applications.
Publications
2022
2021
A Container-based Design Methodology for Robotic Applications on Kubernetes Edge-Cloud architectures
FDL
A containerized ROS-compliant verification environment for robotic systems
DATE
A Framework for Optimizing CPU-iGPU Communication on Embedded Platforms
DAC
ACM Trans. Embed. Comput. Syst.
Task Mapping and Scheduling for OpenVX Applications on Heterogeneous Multi/Many-Core Architectures
IEEE Trans. Computers
2020
Bioinform.
DAC
Mangrove - An Inference-Based Dynamic Invariant Mining for GPU Architectures
IEEE Trans. Computers
DATE
News
Publication
Edge-cloud verification for robotic applications
A 2026 ACM TECS article by Nicola Bombieri, Graziano Pravadelli and collaborators studies edge-cloud orchestration of assertion-based monitors for robotic applications.

