Year: 2019
Type: conference-paper
Abstract: This work proposes a fault injection methodology where Hardware Description Language (HDL) code slicing is exploited to prune fault injection locations, thus enabling more efficient campaigns for safety mechanisms evaluation. In particular, the dynamic HDL slicing technique provides for a highly collapsed critical fault list and allows avoiding injections at redundant locations or time-steps. Experimental results show that the proposed methodology integrated into commercial tool flow doubles the simulation speed when comparing to the state-of-the-art industrial-grade EDA tool flows.
Authors: Ahmet Cagri Bagbaba, Maksim Jenihhin, Jaan Raik, Christian Sauer
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2977441577
