US 11,842,134 B2
Automated determinaton of failure mode distribution
Fadi Maamari, Mountain View, CA (US); Shivakumar Shankar Chonnad, San Jose, CA (US); Abhishek Chauhan, New Delhi (IN); and Jamileh Davoudi, Mountain View, CA (US)
Assigned to Synopsys, Inc., Sunnyvale, CA (US)
Filed by Synopsys, Inc., Mountain View, CA (US)
Filed on Sep. 22, 2021, as Appl. No. 17/482,334.
Claims priority of provisional application 63/084,845, filed on Sep. 29, 2020.
Prior Publication US 2022/0100937 A1, Mar. 31, 2022
Int. Cl. G06F 30/333 (2020.01); G06F 30/327 (2020.01); G06F 30/31 (2020.01); G06N 7/01 (2023.01)
CPC G06F 30/333 (2020.01) [G06F 30/31 (2020.01); G06F 30/327 (2020.01); G06N 7/01 (2023.01)] 20 Claims
OG exemplary drawing
 
1. A method for determining a weighed soft error failure mode distribution, the method comprising:
tracing from an observation point in a circuit to an input of the circuit to produce a cone of influence comprising a plurality of components of the circuit, wherein the plurality of components is connected at a plurality of nodes in the cone of influence, and wherein the plurality of components comprises a plurality of logic elements;
for each node of the plurality of nodes, determining, based on a functional mode setup of the circuit, an observability probability that a logical high or low value at a corresponding node propagates to the observation point;
determining a weighted soft error probability for each logic element of the plurality of logic elements based on an area of a corresponding logic element and the observability probability of an output node of the corresponding logic element; and
determining a weighed soft error failure mode distribution for the cone of influence based on a sum of the weighted soft error probabilities for each logic element of the plurality of logic elements.