- In the Design Runs window, select all the implementation runs.
- Click the Launch Runs toolbar button .
- In the Launch Runs dialog box, select Launch runs
on local host and Number of jobs: 4, as shown in the following figure. The number of jobs is the
maximum number of implementation runs for parallel execution. Up to 4 jobs may
run in parallel depending on number of available processors with remaining jobs
put into a queue.
- Click OK.
Two runs launch simultaneously, with the remaining runs going into a queue. In this example, Vivado is running on a machine with only 2 available processors.
When the active run,
impl_1
, completes, examine the Project Summary. The Project Summary reflects the status and the results of the active run. When the active run (impl_1
) is complete, the Implementation Completed dialog box opens. - Click Cancel to close the dialog box.Note: The implementation utilization results display as a bar graph at the bottom of the summary page (you might need to scroll down), as shown in the following figure.
When you open an implementation run, the
report_power
and thereport_timing_summary
results are automatically opened for the run in a new tab in the Results Window. - When all the implementation runs are complete, select the Design Runs window.
- Right-click the
impl_3
run in the Design Runs window, and select Make Active from the popup menu.The Project Summary now displays the status and results of the new active run,
impl_3
.
- Compare the results for the completed runs in the Design Runs window, as shown
in the previous figure.
- The
Flow_RuntimeOptimized
strategy inimpl_4
completed in the least amount of time, as you can see in the Elapsed time column. - The WNS column shows that all runs met the timing requirements.
- The