Unverified Commit be7e9e92 by ZhiangWang033 Committed by GitHub

Update README.md

parent 51e8b4ce
......@@ -54,8 +54,17 @@ The directory structure is as follows *./FLows/\<enablement\>/\<testcase\>/<cons
- Also, we provide the *run* directory to run the scripts provided in the *scripts* directory.
## **Code Elements**
List of code elements
- [Gridding](./CodeElements/Gridding/)
The code elements below are most crucial undocumented portions of Circuit Training.
We thank Google engineers for Q&A in a shared document, as well as live discussions on May 19, 2022,
that explained the following code elements used in Circuit Training.
All errors of understanding and implementation are the authors'.
We will rectify such errors as soon as possible after being made aware of them.
- [Gridding](./CodeElements/Gridding/) determines a dissection of the layout canvas into some number of rows (n_rows) and some number of columns (n_cols) of gridcells. In Circuit Training, the purpose of gridding is to control the size of the macro placement solution space,
thus allowing RL to train within reasonable runtimes. Gridding enables hard macros to find locations consistent with high solution quality,
while allowing soft macros (standard-cell clusters) to also find good locations.
- [Grouping](./CodeElements/Grouping/)
- [Hypergraph clustering](./CodeElements/Clustering/)
- [Force-directed placement](./CodeElements/FDPlacement/)
......@@ -81,4 +90,4 @@ List of code elements
- qrctechfile for NanGate45
**What is your timeline?**
- We hope to show significant progress at the DAC-2022 [Birds-of-a-Feather](https://59dac.conference-program.com/session/?sess=sess294) meeting (Open-Source EDA and Benchmarking Summit) on July 12, 2022, 7-10pm in Room 3000 of Moscone West in San Francisco.
- We hope to show significant progress at the [DAC-2022 Birds-of-a-Feather](https://59dac.conference-program.com/session/?sess=sess294) meeting (Open-Source EDA and Benchmarking Summit) on July 12, 2022, 7-10pm in Room 3000 of Moscone West in San Francisco.
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