hdlcoder.optimizeDesign
Automatic iterative HDL design optimization
Description
hdlcoder.optimizeDesign(
optimizes your generated HDL code based on the optimization configuration that you
specify.model
, optimizationCfg
)
hdlcoder.optimizeDesign(
regenerates the optimized HDL code, without rerunning the iterative optimization, by using
data from a previous run of model
, cpGuidanceFile
)hdlcoder.optimizeDesign
.
Examples
Maximize Clock Frequency
Maximize the clock frequency for a model, sfir_fixed
,
by performing up to 10 optimization iterations.
Open the model and specify the DUT subsystem.
model = 'sfir_fixed'; dutSubsys = 'symmetric_fir'; open_system(model); hdlset_param(model,'HDLSubsystem',[model,'/',dutSubsys]);
Set your synthesis tool and target device options.
hdlset_param(model,'SynthesisTool','Xilinx Vivado', ... 'SynthesisToolChipFamily','Zynq', ... 'SynthesisToolDeviceName','xc7z030', ... 'SynthesisToolPackageName','fbg484', ... 'SynthesisToolSpeedValue','-3')
Enable HDL test bench generation.
hdlset_param(model,'GenerateHDLTestBench','on');
Save your model.
You must save your model if you want to regenerate code later
without rerunning the iterative optimizations, or resume your run
if it is interrupted. When you use hdlcoder.optimizeDesign
to
regenerate code or resume an interrupted run, HDL Coder™ checks
the model checksum and generates an error if the model has changed.
Create an optimization configuration object, oc
.
oc = hdlcoder.OptimizationConfig;
Set the iteration limit to 10.
oc.IterationLimit = 10;
Optimize the model.
hdlcoder.optimizeDesign(model,oc)
hdlset_param('sfir_fixed', 'HDLSubsystem', 'sfir_fixed/symmetric_fir'); hdlset_param('sfir_fixed', 'SynthesisTool', 'Xilinx Vivado'); hdlset_param('sfir_fixed', 'SynthesisToolChipFamily', 'Zynq'); hdlset_param('sfir_fixed', 'SynthesisToolDeviceName', 'xc7z030'); hdlset_param('sfir_fixed', 'SynthesisToolPackageName', 'fbg484'); hdlset_param('sfir_fixed', 'SynthesisToolSpeedValue', '-3'); Iteration 0 Generate and synthesize HDL code ... (CP ns) 16.26 (Constraint ns) 5.85 (Elapsed s) 143.66 Iteration 1 Generate and synthesize HDL code ... (CP ns) 16.26 (Constraint ns) 5.85 (Elapsed s) 278.72 Iteration 2 Generate and synthesize HDL code ... (CP ns) 10.25 (Constraint ns) 12.73 (Elapsed s) 427.22 Iteration 3 Generate and synthesize HDL code ... (CP ns) 9.55 (Constraint ns) 9.73 (Elapsed s) 584.37 Iteration 4 Generate and synthesize HDL code ... (CP ns) 9.55 (Constraint ns) 9.38 (Elapsed s) 741.04 Iteration 5 Generate and synthesize HDL code ... Exiting because critical path cannot be further improved. Summary report: summary.html Achieved Critical Path (CP) Latency : 9.55 ns Elapsed : 741.04 s Iteration 0: (CP ns) 16.26 (Constraint ns) 5.85 (Elapsed s) 143.66 Iteration 1: (CP ns) 16.26 (Constraint ns) 5.85 (Elapsed s) 278.72 Iteration 2: (CP ns) 10.25 (Constraint ns) 12.73 (Elapsed s) 427.22 Iteration 3: (CP ns) 9.55 (Constraint ns) 9.73 (Elapsed s) 584.37 Iteration 4: (CP ns) 9.55 (Constraint ns) 9.38 (Elapsed s) 741.04 Final results are saved in /tmp/hdlsrc/sfir_fixed/hdlexpl/Final-07-Jan-2014-17-04-41 Validation model: gm_sfir_fixed_vnl
Then HDL Coder stops after five iterations because the fourth and fifth iterations had the same critical path, which indicates that the coder has found the minimum critical path. The design’s maximum clock frequency after optimization is 1 / 9.55 ns, or 104.71 MHz.
Optimize for Specific Clock Frequency
Optimize a model, sfir_fixed
,
to a specific clock frequency, 50 MHz, by performing up to 10 optimization
iterations, and do not generate an HDL test bench.
Open the model and specify the DUT subsystem.
model = 'sfir_fixed'; dutSubsys = 'symmetric_fir'; open_system(model); hdlset_param(model,'HDLSubsystem',[model,'/',dutSubsys]);
Set your synthesis tool and target device options.
hdlset_param(model,'SynthesisTool','Xilinx Vivado', ... 'SynthesisToolChipFamily','Zynq', ... 'SynthesisToolDeviceName','xc7z030', ... 'SynthesisToolPackageName','fbg484', ... 'SynthesisToolSpeedValue','-3')
Disable HDL test bench generation.
hdlset_param(model,'GenerateHDLTestBench','off');
Save your model.
You must save your model if you want to regenerate code later
without rerunning the iterative optimizations, or resume your run
if it is interrupted. When you use hdlcoder.optimizeDesign
to
regenerate code or resume an interrupted run, HDL Coder checks
the model checksum and generates an error if the model has changed.
Create an optimization configuration object, oc
.
oc = hdlcoder.OptimizationConfig;
Configure the automatic iterative optimization to stop after it reaches a clock frequency of 50MHz, or 10 iterations, whichever comes first.
oc.ExplorationMode = ...
hdlcoder.OptimizationConfig.ExplorationMode.TargetFrequency;
oc.TargetFrequency = 50;
oc.IterationLimit = 10;
Optimize the model.
hdlcoder.optimizeDesign(model,oc)
hdlset_param('sfir_fixed','GenerateHDLTestBench','off'); hdlset_param('sfir_fixed','HDLSubsystem','sfir_fixed/symmetric_fir'); hdlset_param('sfir_fixed','SynthesisTool','Xilinx Vivado'); hdlset_param('sfir_fixed','SynthesisToolChipFamily','Zynq'); hdlset_param('sfir_fixed','SynthesisToolDeviceName','xc7z030'); hdlset_param('sfir_fixed','SynthesisToolPackageName','fbg484'); hdlset_param('sfir_fixed','SynthesisToolSpeedValue','-3'); Iteration 0 Generate and synthesize HDL code ... (CP ns) 16.26 (Constraint ns) 20.00 (Elapsed s) 134.02 Iteration 1 Generate and synthesize HDL code ... Exiting because constraint (20.00 ns) has been met (16.26 ns). Summary report: summary.html Achieved Critical Path (CP) Latency : 16.26 ns Elapsed : 134.02 s Iteration 0: (CP ns) 16.26 (Constraint ns) 20.00 (Elapsed s) 134.02 Final results are saved in /tmp/hdlsrc/sfir_fixed/hdlexpl/Final-07-Jan-2014-17-07-14 Validation model: gm_sfir_fixed_vnl
Then HDL Coder stops after one iteration because it has achieved the target clock frequency. The critical path is 16.26 ns, a clock frequency of 61.50 GHz.
Resume Clock Frequency Optimization using Saved Data
Run additional optimization iterations for
a model, sfir_fixed
, using saved iteration data,
because you terminated in the middle of a previous run.
Open the model and specify the DUT subsystem.
model = 'sfir_fixed'; dutSubsys = 'symmetric_fir'; open_system(model); hdlset_param(model,'HDLSubsystem',[model,'/',dutSubsys]);
Set your synthesis tool and target device options to the same values as in the interrupted run.
hdlset_param(model,'SynthesisTool','Xilinx Vivado', ... 'SynthesisToolChipFamily','Zynq', ... 'SynthesisToolDeviceName','xc7z030', ... 'SynthesisToolPackageName','fbg484', ... 'SynthesisToolSpeedValue','-3')
Enable HDL test bench generation.
hdlset_param(model,'GenerateHDLTestBench','on');
Create an optimization configuration object, oc
.
oc = hdlcoder.OptimizationConfig;
Configure the automatic iterative optimization to run using data from the first iteration of a previous run.
oc.ResumptionPoint = 'Iter5-07-Jan-2014-17-04-29';
Optimize the model.
hdlcoder.optimizeDesign(model,oc)
hdlset_param('sfir_fixed','HDLSubsystem','sfir_fixed/symmetric_fir'); hdlset_param('sfir_fixed','SynthesisTool','Xilinx Vivado'); hdlset_param('sfir_fixed','SynthesisToolChipFamily','Zynq'); hdlset_param('sfir_fixed','SynthesisToolDeviceName','xc7z030'); hdlset_param('sfir_fixed','SynthesisToolPackageName','fbg484'); hdlset_param('sfir_fixed','SynthesisToolSpeedValue','-3'); Try to resume from resumption point: Iter5-07-Jan-2014-17-04-29 Iteration 5 Generate and synthesize HDL code ... Exiting because critical path cannot be further improved. Summary report: summary.html Achieved Critical Path (CP) Latency : 9.55 ns Elapsed : 741.04 s Iteration 0: (CP ns) 16.26 (Constraint ns) 5.85 (Elapsed s) 143.66 Iteration 1: (CP ns) 16.26 (Constraint ns) 5.85 (Elapsed s) 278.72 Iteration 2: (CP ns) 10.25 (Constraint ns) 12.73 (Elapsed s) 427.22 Iteration 3: (CP ns) 9.55 (Constraint ns) 9.73 (Elapsed s) 584.37 Iteration 4: (CP ns) 9.55 (Constraint ns) 9.38 (Elapsed s) 741.04 Final results are saved in /tmp/hdlsrc/sfir_fixed/hdlexpl/Final-07-Jan-2014-17-07-30 Validation model: gm_sfir_fixed_vnl
Then coder stops after one additional iteration because it has achieved the target clock frequency. The critical path is 9.55 ns, or a clock frequency of 104.71 MHz.
Use Critical Path Estimation for Faster Optimization
Use CriticalPathEstimation
as the
TimingStrategy
to shorten the run time of iterative optimization for
a model, sfir_fixed
.
Open the model and specify the DUT subsystem.
model = 'sfir_fixed'; dutSubsys = 'symmetric_fir'; open_system(model); hdlset_param(model,'HDLSubsystem',[model,'/',dutSubsys]);
Set your synthesis tool and target device options.
hdlset_param(model,'SynthesisTool','Xilinx Vivado', ... 'SynthesisToolChipFamily','Zynq', ... 'SynthesisToolDeviceName','xc7z030', ... 'SynthesisToolPackageName','fbg484', ... 'SynthesisToolSpeedValue','-1')
Create an optimization configuration object oc
.
oc = hdlcoder.OptimizationConfig;
Set the iteration limit to 10.
oc.IterationLimit = 10;
Set the timing strategy to CriticalPathEstimation
.
oc.TimingStrategy = 'CriticalPathEstimation';
Optimize the model by using critical path estimation as the timing strategy.
hdlcoder.optimizeDesign(model,oc)
%% Set Model 'sfir_fixed' HDL parameters hdlset_param('sfir_fixed', 'HDLSubsystem', 'sfir_fixed/symmetric_fir'); hdlset_param('sfir_fixed', 'SynthesisTool', 'Xilinx Vivado'); hdlset_param('sfir_fixed', 'SynthesisToolChipFamily', 'Zynq'); hdlset_param('sfir_fixed', 'SynthesisToolDeviceName', 'xc7z030'); hdlset_param('sfir_fixed', 'SynthesisToolPackageName', 'fbg484'); hdlset_param('sfir_fixed', 'SynthesisToolSpeedValue', '-1'); Iteration 0 Generate and synthesize HDL code ... ... (CP ns) 9.94 (Constraint ns) 5.46 (Elapsed s) 4.80 Iteration 9 Generate and synthesize HDL code ... Exiting because critical path cannot be further improved. Summary report: summary.html Achieved Critical Path (CP) Latency : 6.21 ns Elapsed : 31.33 s Iteration 0: (CP ns) 9.94 (Constraint ns) 5.46 (Elapsed s) 4.80 Iteration 1: (CP ns) 8.81 (Constraint ns) 5.46 (Elapsed s) 7.90 Iteration 2: (CP ns) 8.77 (Constraint ns) 7.14 (Elapsed s) 11.14 Iteration 3: (CP ns) 7.34 (Constraint ns) 7.14 (Elapsed s) 14.74 Iteration 4: (CP ns) 7.34 (Constraint ns) 7.14 (Elapsed s) 17.99 Iteration 5: (CP ns) 7.34 (Constraint ns) 7.14 (Elapsed s) 21.25 Iteration 6: (CP ns) 7.34 (Constraint ns) 7.14 (Elapsed s) 24.75 Iteration 7: (CP ns) 6.21 (Constraint ns) 7.14 (Elapsed s) 27.95 Iteration 8: (CP ns) 6.21 (Constraint ns) 5.96 (Elapsed s) 31.33
For comparison to the previous results, set the timing strategy to
Synthesis
(its default) and optimize the model by using
hdlcoder.optimizeDesign
.
oc.TimingStrategy = 'Synthesis';
hdlcoder.optimizeDesign(model,oc)
%% Set Model 'sfir_fixed' HDL parameters hdlset_param('sfir_fixed', 'HDLSubsystem', 'sfir_fixed/symmetric_fir'); hdlset_param('sfir_fixed', 'SynthesisTool', 'Xilinx Vivado'); hdlset_param('sfir_fixed', 'SynthesisToolChipFamily', 'Zynq'); hdlset_param('sfir_fixed', 'SynthesisToolDeviceName', 'xc7z030'); hdlset_param('sfir_fixed', 'SynthesisToolPackageName', 'fbg484'); hdlset_param('sfir_fixed', 'SynthesisToolSpeedValue', '-1'); Iteration 0 Generate and synthesize HDL code ... (CP ns) 9.74 (Constraint ns) 5.21 (Elapsed s) 252.66 Iteration 3 Generate and synthesize HDL code ... Exiting because critical path cannot be further improved. Summary report: summary.html Achieved Critical Path (CP) Latency : 5.49 ns Elapsed : 704.51 s Iteration 0: (CP ns) 9.74 (Constraint ns) 5.21 (Elapsed s) 252.66 Iteration 1: (CP ns) 9.74 (Constraint ns) 5.21 (Elapsed s) 479.88 Iteration 2: (CP ns) 5.49 (Constraint ns) 7.95 (Elapsed s) 704.51
Synthesis Timing Strategy | Critical Path Estimation Timing Strategy | |
---|---|---|
Total elapsed time, in seconds | 704.51 | 31.33 |
When you use CriticalPathEstimation
as the
TimingStrategy
, the time to run
hdlcoder.optimizeDesign
is shorter.
The critical path calculated by using CriticalPathEstimation
as the
TimingStrategy
is the estimated critical path delay of the
optimized model. The critical path calculated by using Synthesis
as
the TimingStrategy
is the actual critical path delay of the optimized
model.
Regenerate Code using Original Design and Saved Optimization Data
Regenerate HDL code using the original model, sfir_fixed
,
and saved data from the final iteration of a previous optimization
run.
Open the model and specify the DUT subsystem.
model = 'sfir_fixed'; dutSubsys = 'symmetric_fir'; open_system(model); hdlset_param(model,'HDLSubsystem',[model,'/',dutSubsys]);
Set your synthesis tool and target device options to the same values as in the original run.
hdlset_param(model,'SynthesisTool','Xilinx Vivado', ... 'SynthesisToolChipFamily','Zynq', ... 'SynthesisToolDeviceName','xc7z030', ... 'SynthesisToolPackageName','fbg484', ... 'SynthesisToolSpeedValue','-3')
Regenerate HDL code using saved optimization data from cpGuidance.mat
.
hdlcoder.optimizeDesign(model,
'hdlsrc/sfir_fixed/hdlexpl/Final-19-Dec-2013-23-05-04/cpGuidance.mat')
Final results are saved in /tmp/hdlsrc/sfir_fixed/hdlexpl/Final-07-Jan-2014-17-16-52 Validation model: gm_sfir_fixed_vnl
Input Arguments
model
— Model name
character vector
Model name, specified as a character vector.
Example: 'sfir_fixed'
optimizationCfg
— Optimization configuration
hdlcoder.OptimizationConfig
Optimization configuration, specified as an hdlcoder.OptimizationConfig
object.
cpGuidanceFile
— File containing saved optimization data
''
(default) | character vector
File that contains saved data from the final optimization iteration, including relative path, specified as a character vector. Use this file to regenerate optimized code without rerunning the iterative optimization.
The file name is cpGuidance.mat
. You can
find the file in the iteration folder name that starts with Final
,
which is a subfolder of hdlexpl
.
Example: 'hdlexpl/Final-11-Dec-2013-23-17-10/cpGuidance.mat'
Version History
Introduced in R2014a
See Also
Classes
Functions
Model Settings
- Target Platform | Synthesis Tool | Family | Device | Package | Speed
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