Riccardo Faggiano
Papers
1
Total Citations
4
H-Index
1
About
Riccardo Faggiano is a researcher whose work sits at the critical intersection of high-performance computing and system dependability, with a primary focus on the reliability of Graphics Processing Units (GPUs). His major contributions center on microarchitectural fault analysis, particularly investigating how faults impact the internal control logic of GPUs—a domain often overlooked in favor of data-path reliability. His most-cited paper, "Microarchitectural Reliability Evaluation of a Block Scheduling Controller in GPUs" (2022), systematically evaluates the vulnerability of block scheduling controllers, a core component for managing parallel workloads. This work is pivotal for safety-critical applications in automotive and robotics, where GPUs are increasingly deployed but must meet stringent certification standards. By pinpointing specific failure modes within the GPU’s control flow, Faggiano provides engineers with actionable insights for designing more robust architectures. His research directly addresses the growing need for certified, fault-tolerant computing in autonomous systems, making his contributions highly relevant for both academia and industry. With a citation count of 4 for his key paper, his work is gaining traction as the field recognizes the importance of microarchitectural reliability in next-generation computing platforms.
Research Focus
Key Achievements
Top Papers
- 1