Commit 287bb6f2 by sakundu

Added Ariane GF12 Hier-RTLMP result

Signed-off-by: sakundu <sakundu@ucsd.edu>
parent 85dc40f8
...@@ -4393,7 +4393,7 @@ We have run CT to generate macro placements for Ariane133, BlackParrot and MemPo ...@@ -4393,7 +4393,7 @@ We have run CT to generate macro placements for Ariane133, BlackParrot and MemPo
<table> <table>
<thead> <thead>
<tr> <tr>
<th colspan="10">Ariane-GF12-68% AutoDMP (results are normalized as described <a href="#GF12_Normalization">here</a>)</th> <th colspan="10"><p align="center">Ariane-GF12-68% AutoDMP (results are normalized as described <a href="#GF12_Normalization">here</a>)</p></th>
</tr> </tr>
</thead> </thead>
<tbody> <tbody>
...@@ -4465,6 +4465,84 @@ We have run CT to generate macro placements for Ariane133, BlackParrot and MemPo ...@@ -4465,6 +4465,84 @@ We have run CT to generate macro placements for Ariane133, BlackParrot and MemPo
<img width="300" src="./images/Ariane133_GF12_AutoDMP_Route.png" alg="Ariane133_GF12_AutoDMP_Route"> <img width="300" src="./images/Ariane133_GF12_AutoDMP_Route.png" alg="Ariane133_GF12_AutoDMP_Route">
</p> </p>
<a id="Ariane133_GF12_HierRTLMP"></a>
- (Updated on April 30, 2023) The following table and screenshots provide details of Ariane133-GF12 implementation when Hier-RTLMP is used to generate the macro placement.
<table>
<thead>
<tr>
<th colspan="10"><p align="center">Ariane133-GF12-68% Hier-RTLMP (results are normalized as described <a href="#GF12_Normalization">here</a>) </p></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>1</td>
<td>0.138</td>
<td>0.555</td>
<td>1.0218</td>
<td>1.3219</td>
<td>-0.144</td>
<td>-307.690</td>
<td>0</td>
<td>3.5</td>
</tr>
<tr>
<td>postCTS</td>
<td>1</td>
<td>0.140</td>
<td>0.555</td>
<td>1.1657</td>
<td>1.3389</td>
<td>-0.169</td>
<td>-190.458</td>
<td>0</td>
<td>3.5</td>
</tr>
<tr>
<td>postRoute</td>
<td>1</td>
<td>0.140</td>
<td>0.555</td>
<td>1.1557</td>
<td>1.3772</td>
<td>-0.270</td>
<td>-289.089</td>
<td></td>
<td></td>
</tr>
<tr>
<td>postRouteOpt</td>
<td>1</td>
<td>0.139</td>
<td>0.555</td>
<td>1.1541</td>
<td>1.3785</td>
<td>-0.181</td>
<td>-178.470</td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
<p align="center">
<img width="300" src="./images/Ariane133_GF12_HierRTLMP_Place.png" alg="Ariane133_GF12_HierRTLMP_Place">
<img width="300" src="./images/Ariane133_GF12_HierRTLMP_Route.png" alg="Ariane133_GF12_HierRTLMP_Route">
</p>
- The following table and screenshots provide details of BlackParrot (Quad Core) GF12 implementation when CMP is used to generate the macro placement. - The following table and screenshots provide details of BlackParrot (Quad Core) GF12 implementation when CMP is used to generate the macro placement.
<table> <table>
<thead> <thead>
......
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