This paper presents an active learning method that directly optimizes expected future error. This is in contrast to many other popular techniques that instead aim to reduce versio...
— Trajectory-based methods offer an attractive methodology for automated, on-demand generation of macromodels for custom circuits. These models are generated by sampling the stat...
— In this paper we propose and investigate an iterative code acquisition scheme assisted by both search space reduction and iterative Massage Passing (MP), which was designed for...
— A substrate biasing methodology is introduced based on modifying standard cells by inserting dedicated substrate contacts in those cells behaving as aggressive digital noise ge...
Emre Salman, Eby G. Friedman, Radu M. Secareanu, O...
Due to the shrinking of feature size and reduction in supply voltages, nanoscale circuits have become more susceptible to radiation induced transient faults. In this paper, we use...