session 2: MemoryInternational audienceThe paper presents a new methodology to model the dynamic variability of SRAM cell in 28nm FDSOI technology. This approach can be easily integrated into SPICE and used for circuit degradation simulation. It is based on two successful models that showed good correlation with experimental data. Using only stress measurements made at transistors level we are able to simulate the degradation obtained on SRAM circuit level. Based on this methodology, fast BTI stress measurements were carried out on SRAM-sized MOSFETs using a fast measure/stress/measure sequences. Using these measurements at transistor level we could validate our modeling methodology by comparing this analytical approach to experimental data...
Continued increase in the process variability is perceived to be a major roadblock for future techno...
The scaling of bulk MOSFETs transistors is facing various difficulties at the nanometer era. The var...
Current nanometric IC processes need to assess the robustness of memories under any possible source ...
session 2: MemoryInternational audienceThe paper presents a new methodology to model the dynamic var...
Several emerging devices have been proposed to continue the CMOS scaling. To assess scalability, dev...
We present a BTI compact model that is able to account for the complex BTI stress patterns encounter...
A physics-based compact model has been developed to predict DC and AC Bias Temperature Instability (...
Robust SRAM design is one of the key challenges of process technology scaling. The steady pace of pr...
As CMOS technology continuously scales, the process variability becomes a major challenge in designi...
It has been shown that sub 100nm SRAM is particularly sensitive to stochastic device variability. In...
The failure probabilities of industrial SRAM cells fall below the ppm (10−6) range, disqualifying th...
BSIM-CMG based HSPICE framework is developed for simulating time-zero and Negative Bias Temperature ...
MasterStatic noise margin (SNM) is an evaluation metric of SRAM cell stability. SNM is defined as ma...
L’industrie microélectronique arrive aujourd’hui à concevoir des transistors atteignant quelquesdiza...
the potential to become one of the main show-stoppers of circuit reliability in nanometer scale devi...
Continued increase in the process variability is perceived to be a major roadblock for future techno...
The scaling of bulk MOSFETs transistors is facing various difficulties at the nanometer era. The var...
Current nanometric IC processes need to assess the robustness of memories under any possible source ...
session 2: MemoryInternational audienceThe paper presents a new methodology to model the dynamic var...
Several emerging devices have been proposed to continue the CMOS scaling. To assess scalability, dev...
We present a BTI compact model that is able to account for the complex BTI stress patterns encounter...
A physics-based compact model has been developed to predict DC and AC Bias Temperature Instability (...
Robust SRAM design is one of the key challenges of process technology scaling. The steady pace of pr...
As CMOS technology continuously scales, the process variability becomes a major challenge in designi...
It has been shown that sub 100nm SRAM is particularly sensitive to stochastic device variability. In...
The failure probabilities of industrial SRAM cells fall below the ppm (10−6) range, disqualifying th...
BSIM-CMG based HSPICE framework is developed for simulating time-zero and Negative Bias Temperature ...
MasterStatic noise margin (SNM) is an evaluation metric of SRAM cell stability. SNM is defined as ma...
L’industrie microélectronique arrive aujourd’hui à concevoir des transistors atteignant quelquesdiza...
the potential to become one of the main show-stoppers of circuit reliability in nanometer scale devi...
Continued increase in the process variability is perceived to be a major roadblock for future techno...
The scaling of bulk MOSFETs transistors is facing various difficulties at the nanometer era. The var...
Current nanometric IC processes need to assess the robustness of memories under any possible source ...