xkdciizdkeji/gr_gpu-ispd24-analytical_algorithm

1. How to build

Step 1: Download the source code. For example,

$ git clone -b ispd24-analytical_algorithm https://github.com/flwave/gr_gpu.git

Step 1.5： 可以修改一下run_papr.sh文件里的前三个路径设置，然后直接./run_papr.sh，即可自动测试四种环境和五个小case的表现（也可以自由修改），log文件保存在你设置的Simpleinputs/log/下。如果想要生成数据表格，可以看“生成xlsx脚本”文件夹。

Step 2: build by cmake

$ cd ./gr_gpu/
$ cmake -B build -DCMAKE_BUILD_TYPE=Release
$ cmake --build build

Step 2": build by cmake (enable cuda)

$ cd ./gr_gpu/
$ cmake -B build -DCMAKE_BUILD_TYPE=Release -DENABLE_CUDA=ON
$ cmake --build build

Step 2": build by cmake (enable iss sort)

$ cd ./gr_gpu/
$ cmake -B build -DCMAKE_BUILD_TYPE=Release -DENABLE_ISSSORT=ON
$ cmake --build build

Step 2": build by cmake (enable iss sort and cuda)

$ cd ./gr_gpu/
$ cmake -B build -DCMAKE_BUILD_TYPE=Release -DENABLE_ISSSORT=ON -DENABLE_CUDA=ON
$ cmake --build build

Step 3: use the executable file

$ cd ./build/
$ ./route -cap [path_to_cap_file] -net [path_to_net_file] -output [path_to_output_file] -threads [num_of_threads(default=1)] 

2. Dependencies

• A C/C++ compiler with support for C++17.
• CMake (version >= 3.18)
• Boost (version >= 1.58)
• CUDA (optional)