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Overview
(Please notice that Ocsimize is a Saber user since 1997.
Saber® is a Synopsys product.)
There are some software for systems simulation, but
Saber is the only one that have
- A TopDown and BottomUp approach
- A mixed signal technology (digital - analogical)
- An associated script
- A schematics tool
- A flexible postprocessor
- An unique modelisation freedom (Spice for instance have no descrition language)
- A robust engine
- An important library of models
Saber® has become a standard in electronics,
and is particulary strong in :
- Analog electronics
- Electromechanical designs
- Power supplies
- Mixed ASIC components
- System control
- Electronical components
- Hydraulics
- ...
The datasheet of Saber is
here
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Templates (models)
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Not only import of Spice models is possible,
but there is also a huge possibility of using new models or
an existing library : hydraulics, sensors...
Furthermore Ocsimize develops :
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- Discrete components
Mosfets, AOPs, Complex IC (mixte), bipolars …
with the following specification:
- Datasheet oriented
Most of the models use a Spice representation
using diffusion, electrostatics fields, lifetime, recombination,… . But with
propietary Mast™ a higher level of abstraction is possible.
- High speed and accuracy
Models can be sophisticated or not. By
collapsing nodes is possible, so that any new model do not slowdown or do not make your future
simulation dependant of a model.
- Options
Dynamical behaviour according to temperature and
parameters sets for statistical analysis.
- Ocsimize knowhow :
Because the models are not embedded in the simulator
a huge possibility to improve the librairies exists.
- New technologies
MEMS, hydraulics , traffic et protocols, software code …
are some examples of what you can design. Only imagination is the limit
- Graphical interfaces and test benches
Thanks to its script language based on Tcl/Tk,
new functions can be developped :
optimization, parameters extractions…
- High speed and accuracy
Models are preferably tested in "default" set.
Linear approximation and a forcing method
(fitting) ensure speed and robustness.
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