Now clone the Vitis Libraries into local path.
The Vitis Library is open source on AMD GitHub: https://github.com/Xilinx/Vitis_Libraries.
Assuming that you are using <installdir> as working directory, then use following command to clone the Vitis Library repository into the working directory:
cd <installdir>
git clone https://github.com/Xilinx/Vitis_Libraries.git
This takes a few minutes for downloading depending on your network. After it is completed, browse into the sub folders to get familiar with the file structure.
Vitis_Libraries/
├── Jenkinsfile
├── LICENSE.txt
├── README.md
├── blas/
├── codec/
├── data_analytics/
├── data_compression/
├── data_mover/
├── database/
├── dsp/
├── graph/
├── hpc/
├── motor_control/
├── quantitative_finance/
├── security/
├── solver/
├── sparse/
├── ultrasond/
├── utils/
└── vision/
Libraries are written in C++ and typically contain three levels of abstractions:
L1: Module level, it provides optimized hardware implementation of the core LZ based and data compression specific modules like lz4 compress and snappy compress.
L2: Kernel level, a demo on lz4, snappy, zlib, and zstd data compression algorithms are shown via kernel, which internally uses the optimized hardware modules.
L3: The software API level wraps the details of offloading acceleration with prebuilt binary (overlay) and allows users to accelerate data compression tasks on the AMD Alveo™ cards without hardware development.
In this lab, you are going to use the dsp library. So enter the the sub-directory dsp, and you can find following directory structure.
dsp/
├── Jenkinsfile
├── L1/
│ ├── README.md
│ ├── examples/
│ ├── include/
│ ├── meta/
│ ├── src/
│ └── tests/
├── L2/
│ ├── README.md
│ ├── benchmarks/
│ ├── examples/
│ ├── include/
│ ├── meta/
│ └── tests/
├── LICENSE.txt
├── README.md
├── docs/
│ ├── Doxyfile
│ ├── Makefile
│ ├── Makefile.sphinx
│ ├── README.md
│ └── src/
├── ext/
│ ├── README.md
│ ├── make_utility/
│ └── xcl2/
└── library.json