Commercial hardware-reconfigurable systems-on-chip are highly attractive for mission-critical applications in the space and automotive industries. However, their vulnerability to soft errors is a major concern, and analyzing the robustness of these systems is a complex task due to the lack of dedicated tools, information, and methodologies available. PyXEL is a tool designed to address these issues, providing the methodology for automating reliability analysis based on radiation and fault injection campaigns and facilitating the development of mitigation solutions based on customized place-and-route. Furthermore, PyXEL offers the methodology for visualizing, decoding, and analyzing the configuration data of programmable hardware devices, enabling more precise and efficient evaluation and analysis of the robustness of systems implemented on programmable hardware devices.

PyXEL: Exploring Bitstream Analysis to Assess and Enhance the Robustness of Designs on FPGAs / DE SIO, Corrado; Azimi, Sarah; Sterpone, Luca; Merodio Codinachs, David; Decuzzi, Filomena. - (2023). (Intervento presentato al convegno International Conference on Synthesis, Modeling, Analysis and Simulation Methods, and Applications to Circuit Design (SMACD) tenutosi a Funchal (PRT) nel 03-05 July 2023) [10.1109/SMACD58065.2023.10192116].

PyXEL: Exploring Bitstream Analysis to Assess and Enhance the Robustness of Designs on FPGAs

Corrado De Sio;Sarah Azimi;Luca Sterpone;
2023

Abstract

Commercial hardware-reconfigurable systems-on-chip are highly attractive for mission-critical applications in the space and automotive industries. However, their vulnerability to soft errors is a major concern, and analyzing the robustness of these systems is a complex task due to the lack of dedicated tools, information, and methodologies available. PyXEL is a tool designed to address these issues, providing the methodology for automating reliability analysis based on radiation and fault injection campaigns and facilitating the development of mitigation solutions based on customized place-and-route. Furthermore, PyXEL offers the methodology for visualizing, decoding, and analyzing the configuration data of programmable hardware devices, enabling more precise and efficient evaluation and analysis of the robustness of systems implemented on programmable hardware devices.
2023
979-8-3503-3265-0
File in questo prodotto:
File Dimensione Formato  
pyxel_CAMERA_READY.pdf

accesso aperto

Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: PUBBLICO - Tutti i diritti riservati
Dimensione 405.15 kB
Formato Adobe PDF
405.15 kB Adobe PDF Visualizza/Apri
PyXEL_Exploring_Bitstream_Analysis_to_Assess_and_Enhance_the_Robustness_of_Designs_on_FPGAs.pdf

non disponibili

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 893.78 kB
Formato Adobe PDF
893.78 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2978002