Use synthesis estimates for distributed pipelining
Determine more accurate propagation delays for each component
Since R2022a
Model Configuration Pane: Optimization / Pipelining
Description
To determine more accurate propagation delays for each component, use synthesis timing estimates for distributed pipelining. Different weights are assigned to varying components, which more accurately reflects how the components function on hardware. When you enable this parameter, HDL Coder™ can better distribute pipelines in your design for HDL code generation and hardware deployment to maximize the clock frequency for your target device.
Dependencies
Distributed pipelining must be enabled for at least one subsystem in your model to use this parameter.
Settings
Off
(default) | On
On
Use synthesis timing estimates for calculating propagation delays for each component in your design for distributed pipelining.
Off
Use equal weights for calculating propagation delays for each component in your design for distributed pipelining.
Tips
To set this property, use the functions hdlset_param
or makehdl
. To view the property value, use
the function hdlget_param
.
For example, you can enable the UseSynthesisEstimatesForDistributedPipelining
setting when you generate HDL code for the symmetric_fir
subsystem inside the sfir_fixed
model by using either of these methods:
Pass the property as an argument to the
makehdl
function.makehdl('sfir_fixed/symmetric_fir', ... 'UseSynthesisEstimatesForDistributedPipelining','on')
When you use
hdlset_param
, set the parameter on the model, and then generate HDL code by using themakehdl
function.hdlset_param('sfir_fixed','UseSynthesisEstimatesForDistributedPipelining','on') makehdl('sfir_fixed/symmetric_fir')
Recommended Settings
No recommendations.
Programmatic Use
Parameter: UseSynthesisEstimatesForDistributedPipelining |
Type: character vector |
Value: 'on' | 'off' |
Default: 'off' |
Version History
Introduced in R2022a