For robust design of SRAM memories, it is not sufficient to guarantee good statistical margins on the SRAM cell parameters. The sense amplifier needs sufficient input signal before it can reliably sense the data, while the SRAM cell requires sufficient time to develop that input signal. This paper presents a new statistical method that allows optimization of the access time of an SRAM memory, while guaranteeing a yield target set by the designer. Using this method, the access time of a high performance advanced CMOS SRAM has been improved 6%, while simultaneously reducing the sense amplifier siz
Summary. Importance Sampling allows for efficient Mon-te Carlo Sampling that also properly covers ta...
SRAM (Static Random Access Memory) design has become the critical and important block in processing ...
Importance Sampling allows for efficient Monte Carlo sampling that also properly covers tails of dis...
For robust design of SRAM memories, it is not sufficient to guarantee good statistical margins on th...
A product may fail when design parameters are subject to large deviations. To guarantee yield one li...
As high-density SRAMs must be designed to ensure a substantially small failure rate, the accurate yi...
Variability is one of the most challenging obstacles for IC design in the nanometer regime. In nano...
As CMOS technology continuously scales, the process variability becomes a major challenge in designi...
Design variability due to inter-die (D2D) and intra-die (WID) process variations has the potential t...
[[abstract]]With increasing chip density, semiconductor memory yield improvement is becoming a task ...
Abstract: SRAM is the most widely used embedded memory in modern digital systems, and their role is ...
© 2018 Elsevier Ltd This paper proposes an appropriate method to estimate and mitigate the impact of...
Summary. Importance Sampling allows for efficient Mon-te Carlo Sampling that also properly covers ta...
SRAM (Static Random Access Memory) design has become the critical and important block in processing ...
Importance Sampling allows for efficient Monte Carlo sampling that also properly covers tails of dis...
For robust design of SRAM memories, it is not sufficient to guarantee good statistical margins on th...
A product may fail when design parameters are subject to large deviations. To guarantee yield one li...
As high-density SRAMs must be designed to ensure a substantially small failure rate, the accurate yi...
Variability is one of the most challenging obstacles for IC design in the nanometer regime. In nano...
As CMOS technology continuously scales, the process variability becomes a major challenge in designi...
Design variability due to inter-die (D2D) and intra-die (WID) process variations has the potential t...
[[abstract]]With increasing chip density, semiconductor memory yield improvement is becoming a task ...
Abstract: SRAM is the most widely used embedded memory in modern digital systems, and their role is ...
© 2018 Elsevier Ltd This paper proposes an appropriate method to estimate and mitigate the impact of...
Summary. Importance Sampling allows for efficient Mon-te Carlo Sampling that also properly covers ta...
SRAM (Static Random Access Memory) design has become the critical and important block in processing ...
Importance Sampling allows for efficient Monte Carlo sampling that also properly covers tails of dis...