SEAT-LA: a soft error analysis tool for combinational logic
R. Rajaraman, J.S. Kim, N. Vijaykrishnan, Yu Xie, M. Irwin
Abstract
R. Rajaraman, J.S. Kim, N. Vijaykrishnan, Yu Xie, M. Irwin
Abstract
Radiation induced soft errors in combinational logic is expected to become as important as directly induced errors on state elements. Consequently, it has become important to develop techniques to quickly and accurately predict soft error rates (SER) in logic circuits. In this paper, we propose a new approach, which can be applied to designs that use cell libraries characterized for soft error analysis and utilizes analytical equations to model the propagation of a voltage pulse to the input of a state element. The average error of the SER estimates using our approach compared to the estimates obtained using circuit level simulations is 6.5% while providing an average speed up of 15000. We have demonstrated the scalability of our approach using designs from the ISCAS-85 benchmarks.
OpenAlex reports 127 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Radiation induced soft errors in combinational logic is expected to become as important as directly induced errors on state elements. Consequently, it has become important to develop techniques to quickly and accurately predict soft error rates (SER) in logic circuits. In this paper, we propose a new approach, which can be applied to designs that use cell libraries characterized for soft error analysis and utilizes analytical equations to model the propagation of a voltage pulse to the input of a state element. The average error of the SER estimates using our approach compared to the estimates obtained using circuit level simulations is 6.5% while providing an average speed up of 15000. We have demonstrated the scalability of our approach using designs from the ISCAS-85 benchmarks.
Key concepts: Combinational logic, Soft error, Computer science, Sequential logic, Scalability, Logic gate, Algorithm, Logic synthesis