This work reports a first attempt to evaluate the fine-grain impact of permanent faults in the structures of arithmetic hardware cores implementing two number formats (Posit and FP). We assess and analyze errors in the cores for two operations (Add, and Multiply), which are the most used in several modern applications, including machine learning. The results show that Posit cores are structurally more vulnerable to fault propagation and induce more output corruptions than FP cores (from 3.3% up to 6.2%). Moreover, we found that the average absolute error in faulty FP cores is higher by up to 2 orders of magnitude than in Posit ones.
Analyzing the Structural and Operational Impact of Faults in Floating-Point and Posit Arithmetic Cores for CNN Operations / Rodriguez Condia, Josie E; Guerrero-Balaguera, Juan-David; Sierra, Robert Limas; Reorda, Matteo Sonza. - (2024), pp. 1-4. (Intervento presentato al convegno 29th IEEE European Test Symposium 2024 tenutosi a The Hague (NL) nel 20-24 May 2024) [10.1109/ets61313.2024.10567884].
Analyzing the Structural and Operational Impact of Faults in Floating-Point and Posit Arithmetic Cores for CNN Operations
Rodriguez Condia, Josie E;Guerrero-Balaguera, Juan-David;Sierra, Robert Limas;Reorda, Matteo Sonza
2024
Abstract
This work reports a first attempt to evaluate the fine-grain impact of permanent faults in the structures of arithmetic hardware cores implementing two number formats (Posit and FP). We assess and analyze errors in the cores for two operations (Add, and Multiply), which are the most used in several modern applications, including machine learning. The results show that Posit cores are structurally more vulnerable to fault propagation and induce more output corruptions than FP cores (from 3.3% up to 6.2%). Moreover, we found that the average absolute error in faulty FP cores is higher by up to 2 orders of magnitude than in Posit ones.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2992841