A vast literature has been published on Statistical Static Timing Analysis (SSTA), its motivations, its different implementations and their runtime/accuracy trade-offs. However, very limited literature exists ([1]) on the applicability and the usage models of this new technology on real designs. This work focuses on the use of SSTA in real designs and its practical benefits and limitations over the traditional design flow. We introduce two new metrics to drive the optimization: skew criticality and aggregate sensitivity. Practical benefits of SSTA are demonstrated for clock tree analysis, and correct modeling of on-chip-variations. The use of SSTA to cover the traditional corner analysis and to drive optimization is also discussed. Results ...
Abstract—As technology scales into the sub-90nm domain, manufacturing variations become an increasin...
As CMOS technology continues to scale down, process variation introduces significant uncertainty in ...
This paper proposed the impact of variations on delay in CMOS technology of 32 nm. The magnitude of ...
Timing analysis plays a vital role in chip design, which analyze whether a chip design meets the tim...
In this paper we report a set of statistical static timing (SSTA) studies performed on a UMC test ch...
The effect of process variation is getting worse with every technology generation. With variability ...
The effect of process variation is getting worse with every technology generation. With variability ...
Statistical static timing analysis (SSTA) has emerged as an es-sential tool for nanoscale designs. M...
As CMOS technology scales down, process variation introduces significant uncertainty in power and pe...
Abstract Statistical static timing analysis (SSTA) has emerged as an essential tool for nanoscale de...
An efficient and accurate statistical static timing analysis (SSTA) algorithm is reported in this wo...
textTechnology scaling in the nanometer era comes with a significant amount of process variation, le...
The move to deep submicron processes has brought about new problems that designers must contend with...
Variability of process parameters makes prediction of digital circuit timing characteristics an impo...
Statistical Timing Analysis is a methodology to create a robust and tractable framework to analyze t...
Abstract—As technology scales into the sub-90nm domain, manufacturing variations become an increasin...
As CMOS technology continues to scale down, process variation introduces significant uncertainty in ...
This paper proposed the impact of variations on delay in CMOS technology of 32 nm. The magnitude of ...
Timing analysis plays a vital role in chip design, which analyze whether a chip design meets the tim...
In this paper we report a set of statistical static timing (SSTA) studies performed on a UMC test ch...
The effect of process variation is getting worse with every technology generation. With variability ...
The effect of process variation is getting worse with every technology generation. With variability ...
Statistical static timing analysis (SSTA) has emerged as an es-sential tool for nanoscale designs. M...
As CMOS technology scales down, process variation introduces significant uncertainty in power and pe...
Abstract Statistical static timing analysis (SSTA) has emerged as an essential tool for nanoscale de...
An efficient and accurate statistical static timing analysis (SSTA) algorithm is reported in this wo...
textTechnology scaling in the nanometer era comes with a significant amount of process variation, le...
The move to deep submicron processes has brought about new problems that designers must contend with...
Variability of process parameters makes prediction of digital circuit timing characteristics an impo...
Statistical Timing Analysis is a methodology to create a robust and tractable framework to analyze t...
Abstract—As technology scales into the sub-90nm domain, manufacturing variations become an increasin...
As CMOS technology continues to scale down, process variation introduces significant uncertainty in ...
This paper proposed the impact of variations on delay in CMOS technology of 32 nm. The magnitude of ...