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macroplacement
Commit 744ea933 by sakundu
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Added AutoDMP results 

Signed-off-by: sakundu <sakundu@ucsd.edu>
parent 4f8179cd
Showing with 162 additions and 1 deletions
Docs/OurProgress/README.md
......@@ -4378,6 +4378,84 @@ We have run CT to generate macro placements for Ariane133, BlackParrot and MemPo
<img width="300" src="./images/Ariane133_GF12_CT_Route.png" alg="Ariane133_GF12_CT_Route">
</p>
<a id="Ariane133_GF12_AutoDMP"></a>
- (Updated on December 20) The following table and screenshots provide details of Ariane133 GF12 implementation when AutoDMP is used to generate the macro placement.
<table>
<thead>
<tr>
<th colspan="10">Ariane-GF12-68% AutoDMP [results are normalized as described <a href=“#GF12_Normalization”>here</a>]</th>
</tr>
</thead>
<tbody>
<tr>
<td>Physical Design Stage</td>
<td>Core Area</td>
<td>Standard Cell Area</td>
<td>Macro Area</td>
<td>Total Power</td>
<td>Wirelength</td>
<td>WS</td>
<td>TNS</td>
<td>Congestion (H)</td>
<td>Congestion (V)</td>
</tr>
<tr>
<td>preCTS</td>
<td>1</td>
<td>0.136</td>
<td>0.555</td>
<td>0.9941</td>
<td>1.0214</td>
<td>-0.116</td>
<td>-204.181</td>
<td>0.00</td>
<td>0.50</td>
</tr>
<tr>
<td>postCTS</td>
<td>1</td>
<td>0.138</td>
<td>0.555</td>
<td>1.1406</td>
<td>1.0337</td>
<td>-0.126</td>
<td>-114.774</td>
<td>0.00</td>
<td>1.00</td>
</tr>
<tr>
<td>postRoute</td>
<td>1</td>
<td>0.138</td>
<td>0.555</td>
<td>1.1318</td>
<td>1.0670</td>
<td>-0.180</td>
<td>-187.204</td>
<td></td>
<td></td>
</tr>
<tr>
<td>postRouteOpt</td>
<td>1</td>
<td>0.137</td>
<td>0.555</td>
<td>1.1296</td>
<td>1.0681</td>
<td>-0.130</td>
<td>-90.493</td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
<p align="center">
<img width="300" src="./images/Ariane133_GF12_AutoDMP_Place.png" alg="Ariane133_GF12_AutoDMP_Place">
<img width="300" src="./images/Ariane133_GF12_AutoDMP_Route.png" alg="Ariane133_GF12_AutoDMP_Route">
</p>
- The following table and screenshots provide details of BlackParrot (Quad Core) GF12 implementation when CMP is used to generate the macro placement.
<table>
<thead>
......@@ -4532,6 +4610,84 @@ We have run CT to generate macro placements for Ariane133, BlackParrot and MemPo
<img width="300" src="./images/BP_Quad_GF12_CT_Route.png" alg="BP_Quad_GF12_CT_Route">
</p>
<a id="bp_quad_GF12_AutoDMP"></a>
- (Updated on December 20) The following table and screenshots provide details of BlackParrot (Quad-Core) GF12 implementation when AutoDMP is used to generate the macro placement.
<table>
<thead>
<tr>
<th colspan="10">BlackParrot-GF12-68% AutoDMP [results are normalized as described <a href=“#GF12_Normalization”>here</a>]</th>
</tr>
</thead>
<tbody>
<tr>
<td>Physical Design Stage</td>
<td>Core Area</td>
<td>Standard Cell Area</td>
<td>Macro Area</td>
<td>Total Power</td>
<td>Wirelength</td>
<td>WS</td>
<td>TNS</td>
<td>Congestion (H)</td>
<td>Congestion (V)</td>
</tr>
<tr>
<td>preCTS</td>
<td>1</td>
<td>0.176</td>
<td>0.501</td>
<td>1.0012</td>
<td>0.9891</td>
<td>0.001</td>
<td>0.000</td>
<td>1.0</td>
<td>1.0</td>
</tr>
<tr>
<td>postCTS</td>
<td>1</td>
<td>0.178</td>
<td>0.501</td>
<td>1.1519</td>
<td>0.9967</td>
<td>0.000</td>
<td>0.000</td>
<td>1.0</td>
<td>1.2</td>
</tr>
<tr>
<td>postRoute</td>
<td>1</td>
<td>0.178</td>
<td>0.501</td>
<td>1.1433</td>
<td>1.0199</td>
<td>-0.045</td>
<td>-12.419</td>
<td></td>
<td></td>
</tr>
<tr>
<td>postRouteOpt</td>
<td>1</td>
<td>0.178</td>
<td>0.501</td>
<td>1.1433</td>
<td>1.0202</td>
<td>0.000</td>
<td>0.000</td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
<p align="center">
<img width="300" src="./images/BP_Quad_GF12_AutoDMP_Place.png" alg="BP_Quad_GF12_AutoDMP_Place">
<img width="300" src="./images/BP_Quad_GF12_AutoDMP_Route.png" alg="BP_Quad_GF12_AutoDMP_Route">
</p>
- The following table and screenshots provide details of MemPool Group GF12 implementation when CMP is used to generate the macro placement.
<table>
<thead>
......@@ -5138,7 +5294,7 @@ We thank NVIDIA Research for access to AutoDMP, an autotuned DREAMPlace-based ma
<table>
<thead>
<tr>
<th colspan="10">Ariane133-NG45-68%-1.3ns AutoDMP (<a href="../../Flows/NanGate45/ariane133/README.md#flow-2-result-for-the-macro-placement-generated-by-cadence-concurrent-macro-placer">Link</a> to CMP result) (<a href="../../Flows/NanGate45/ariane133/README.md#macro-placement-generated-by-circuit-training-ct">Link</a> to CT result)</th>
<th colspan="10">Ariane133-NG45-68%-1.3ns AutoDMP (<a href="../../Flows/NanGate45/ariane133/README.md#macro-placement-generated-by-circuit-training-ct">Link</a> to CT result) (<a href="../../Flows/NanGate45/ariane133/README.md#flow-2-result-for-the-macro-placement-generated-by-cadence-concurrent-macro-placer">Link</a> to CMP result)</th>
</tr>
</thead>
<tbody>
......@@ -5284,6 +5440,11 @@ We thank NVIDIA Research for access to AutoDMP, an autotuned DREAMPlace-based ma
</tbody>
</table>
<p align="center">
<img width="300" src="./images/bp_quad_NG45_AutoDMP_Place.png" alg="bp_quad_NG45_AutoDMP_Place">
<img width="300" src="./images/bp_quad_NG45_AutoDMP_Route.png" alg="bp_quad_NG45_AutoDMP_Route">
</p>
- **BlackParrot-GF12-68%**: [Link](#bp_quad_GF12_AutoDMP) to AutoDMP macro placement details of BlackParrot on GF12 enablement.
<a id="December21"></a>
......
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