Commit b6210de9 by sakundu

Added CT result when DCTopo is used to generate the initial placement

Signed-off-by: sakundu <sakundu@ucsd.edu>
parent bdee239d
......@@ -5041,6 +5041,93 @@ We have performed a similar macro shuffling experiment for the BlackParrot (Quad
- **MemPool Group:**
We have tried a similar macro shuffling experiment for MemPool Group, but none of our runs completed (i.e., flow failure).
<a id="December21"></a>
**December 21:**
<a id="Question11"></a>
**<span style="color:blue">Question 11.</span>** How does the initial placement generated by different physical synthesis tools affect the CT solution?
We observe that when the initial placement solution is generated using [Flow-2](https://github.com/TILOS-AI-Institute/MacroPlacement/blob/main/Flows/figures/flow-2.PNG) (CMP-Genus iSpatial) or DC-Topo ([links](../../Flows/scripts/DCTopoFlow/) to scripts) the final CT outcomes are similar.
The following table and screenshots provide details of Ariane133-NG45-68%-1.3ns CT macro placement when DC-Topo is used to generate the initial placement solution.
<table>
<thead>
<tr>
<th colspan="10">Ariane133-NG45-68%-1.3ns CT result when the initial placement information is generated by DC-Topo</th>
</tr>
</thead>
<tbody>
<tr>
<td>Physical Design Stage</td>
<td>Core Area (um^2)</td>
<td>Standard Cell Area (um^2)</td>
<td>Macro Area (um^2)</td>
<td>Total Power (mW)</td>
<td>Wirelength (um)</td>
<td>WS (ns)</td>
<td>TNS (ns)</td>
<td>Congestion (H)</td>
<td>Congestion (V)</td>
</tr>
<tr>
<td>preCTS</td>
<td>1814274</td>
<td>284197</td>
<td>1018356</td>
<td>815.500</td>
<td>4544323</td>
<td>-0.155</td>
<td>-261.254</td>
<td>0.02%</td>
<td>0.17%</td>
</tr>
<tr>
<td>postCTS</td>
<td>1814274</td>
<td>286795</td>
<td>1018356</td>
<td>858.088</td>
<td>4599954</td>
<td>-0.146</td>
<td>-118.845</td>
<td>0.02%</td>
<td>0.20%</td>
</tr>
<tr>
<td>postRoute</td>
<td>1814274</td>
<td>286795</td>
<td>1018356</td>
<td>857.217</td>
<td>4705640</td>
<td>-0.203</td>
<td>-302.019</td>
<td></td>
<td></td>
</tr>
<tr>
<td>postRouteOpt</td>
<td>1814274</td>
<td>287151</td>
<td>1018356</td>
<td>857.755</td>
<td>4710065</td>
<td>-0.206</td>
<td>-255.818</td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
<p align="center">
<img width="300" src="./images/Ariane133_NG45_DCTopo_CT_Place.png" alg="Ariane133_NG45_DCTopo_CT_Place">
<img width="300" src="./images/Ariane133_NG45_DCTopo_CT_Route.png" alg="Ariane133_NG45_DCTopo_CT_Route">
</p>
[Link](../../Flows/NanGate45/ariane133/README.md#macro-placement-generated-by-circuit-training-ct) to result of Ariane133-NG45-68%-1.3ns CT macro placement when [Flow-2](../../Flows/figures/flow-2.PNG) (CMP-Genus iSpatial) is used to generate the initial placement solution.
## **Pinned (to bottom) question list:**
**<span style="color:blue">[Question 1](#Question1).</span>** How does having an initial set of placement locations (from physical synthesis) affect the (relative) quality of the CT result?
......@@ -5053,3 +5140,4 @@ We have tried a similar macro shuffling experiment for MemPool Group, but none o
**<span style="color:blue">[Question 8](#Question8).</span>** How does the tightness of timing constraints affect the (relative) performance of CT?
**<span style="color:blue">[Question 9](#Question9).</span>** Are CT results stable? If not, how much does the outcome vary?
**<span style="color:blue">[Question 10](#Question10).</span>** What is the correlation between proxy cost and the postRouteOpt Table 1 metrics?
**<span style="color:blue">[Question 11](#Question10).</span>** How does the initial placement generated by different physical synthesis tools affect the CT solution?
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