A
AG
Guest
Hi,
I have a design with two identical 16 taps filters runing in parallel on the
same inputs.
A switch allow to disable one of the two filters.
I also have two test bench runing on the same inputs :
- one has the two filters enabled.
- one has only one filter enabled.
I used post-synthesis files (.vho) to simulate the two test bench and record
all signals into .vcd files (values changed dump files)
I use these .vcd files to perform Power consumption estimation for the two
test bench.
In the case where only one filter is running, I only have 45% of the nodes
toggled during simulation.
In the case where the two filters are running, I get 85% of the nodes
toggled during simulation.
In the first case, the powerplay power analyser inidcates a low power
estimation confidence.
In the second case, the powerplay power analyser indicates a medium power
estimation confidence.
Can I consider the power estimation confidence in the first case medium as
in the second case, knowing that if the estimation is low, it's just because
I have intentionally not used half (1 filter out of 2) of the design ?
I have a design with two identical 16 taps filters runing in parallel on the
same inputs.
A switch allow to disable one of the two filters.
I also have two test bench runing on the same inputs :
- one has the two filters enabled.
- one has only one filter enabled.
I used post-synthesis files (.vho) to simulate the two test bench and record
all signals into .vcd files (values changed dump files)
I use these .vcd files to perform Power consumption estimation for the two
test bench.
In the case where only one filter is running, I only have 45% of the nodes
toggled during simulation.
In the case where the two filters are running, I get 85% of the nodes
toggled during simulation.
In the first case, the powerplay power analyser inidcates a low power
estimation confidence.
In the second case, the powerplay power analyser indicates a medium power
estimation confidence.
Can I consider the power estimation confidence in the first case medium as
in the second case, knowing that if the estimation is low, it's just because
I have intentionally not used half (1 filter out of 2) of the design ?