RippleFPGA is a simultaneous pack-and-place algorithm for FPGA developed by the research team supervised by Prof. Evangeline F.Y. Young in The Chinese University of Hong Kong. It produces legalized placement solutions by effectively packing and placing instances from input circuits on the modern Xilinx FPGA architecture. It aims to minimize the routed wirelength and routing congestion. The placement results can be evaluated by Xilinx Vivado® Design Suite.
- Targeted on modern commercial FPGA architecture (Xilinx UltraScale XU095)
- Analytical placement in Upper and Lower Bound Framework
- Optimize wirelength and routing congestion
- Results verified by Xilinx Vivado® software
- Support large-scale benchmark circuits
More details are in the following papers:
- Chak-Wa Pui, Gengjie Chen, Wing-Kai Chow, Jian Kuang, Ka-Chun Lam, Peishan Tu, Hang Zhang, Evangeline F.Y. Young, Bei Yu, RippleFPGA: A Routability-Driven Placement for Large-Scale Heterogeneous FPGAs, IEEE/ACM International Conference on Computer-Aided Design, pp. 67:1-67:8, Nov. 7-10, 2016.
- Chak-Wa Pui, Gengjie Chen, Yuzhe Ma, Evangeline F.Y. Young, Bei Yu, Clock-Aware UltraScale FPGA Placement with Machine Learning Routability Prediction, IEEE/ACM International Conference on Computer-Aided Design, pp. 929-936, Nov. 13-16, 2017.
- Gengjie Chen, Chak-Wa Pui, Wing-Kai Chow, Ka-Chun Lam, Jian Kuang, Evangeline F. Y. Young and Bei Yu, RippleFPGA: Routability-Driven Simultaneous Packing and Placement for Modern FPGAs, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 37, no. 10, pp. 2022–2035, 2018.
The simplest way to build and run RippleFPGA is as follows.
$ git clone https://github.com/jordanpui/ripplefpga
$ cd ripplefpga/src
$ make mode=release_mt
$ cd ../bin
$ ./placer -aux toy_example/design.aux -out toy_example.out
Step 1: Download the source codes. For example,
$ git clone https://github.com/jordanpui/ripplefpga
Step 2: Go to the project root and build by
$ cd ripplefpga/src
$ make mode=release_mt
Note that this will generate a folder bin
under the root, which contains binaries and auxiliary files.
More details are in Makefile
.
- g++ (version 4.8.0) or other working c++ compliers
- Boost (version >= 1.58)
Go to the bin
directory and run binary placer
with a toy design:
$ cd bin
$ ./placer -aux toy_example/design.aux -out toy_example.out
Our placer is based on bookshelf format and was tested on two contest benchmarks ISPD'16 Contest and ISPD'17 Contest, which can be downloaded via Dropbox (ISPD16, ISPD17).
After download the benchmarks and place them under folder BM_DIR
, you can use our script run.sh
:
$ cd bin
$ export BENCHMARK_PATH=BM_DIR
$ ./run all
src
: c++ source codesalg
: external algorithm packagescong
: implemetation of congestion estimationdb
: implementation of databasedp
: implementation of detailed placementgp
: implementation of global placementlg
: implementation of legalizationlgclk
: implementation of legailzation related to clock constraintspack
: implementation of packingutils
: implementation of utilizations
toy_example
: toy example in bookshelf format
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License Agreement for RippleFPGA
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