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NVDLA Open Source Virtual Platform


The NVIDIA Deep Learning Accelerator (NVDLA) is a free and open architecture that promotes a standard way to design deep learning inference accelerators. With its modular architecture, NVDLA is scalable, highly configurable, and designed to simplify integration and portability. Learn more about NVDLA on the project web page.

Online Documentation

You can find the latest NVDLA Virtual Platform documentation here. This README file contains only basic information.


Git clone the repository and update the submodules. After cloning the repository, run the following command to update the submodule:

git submodule update --init --recursive

Build steps

Download and build the NVDLA CMOD

Please refer to Integrator's Manual for details on building the hardware tree, and make sure the required tools listed in Environment Setup are installed first.

$ git clone
$ cd hw
$ make
$ tools/bin/tmake -build cmod_top

The header files and library will be generated in hw/outdir/<project>/cmod/release.

Install required tools/libraries

$ sudo apt-get install g++ cmake libboost-dev python-dev libglib2.0-dev libpixman-1-dev liblua5.2-dev swig libcap-dev libattr1-dev

Download and install SystemC 2.3.0

$ sudo wget -O systemc-2.3.0a.tar.gz
$ tar -xzvf systemc-2.3.0a.tar.gz
$ cd systemc-2.3.0a
$ sudo mkdir -p /usr/local/systemc-2.3.0/
$ mkdir objdir
$ cd objdir
$ ../configure --prefix=/usr/local/systemc-2.3.0
$ make
$ sudo make install

Cmake build

$ cmake -DCMAKE_INSTALL_PREFIX=[install dir] -DSYSTEMC_PREFIX=[systemc prefix] -DNVDLA_HW_PREFIX=[nvdla_hw prefix] -DNVDLA_HW_PROJECT=[nvdla_hw project name]

install dir is the installation path, systemc prefix is the SystemC installation directory, nvdla_hw prefix is the local NVDLA HW repository, and nvdla_hw project name is the NVDLA HW project name. Example:

$ cmake -DCMAKE_INSTALL_PREFIX=build -DSYSTEMC_PREFIX=/usr/local/systemc-2.3.0/ -DNVDLA_HW_PREFIX=/usr/local/nvdla/hw -DNVDLA_HW_PROJECT=nv_full


$ make


$ make install


$ ./build/bin/aarch64_toplevel --conf [platform.lua]

platform.lua is the path to your platform conf file. A demo example is in conf/aarch64_nvdla.lua. You will need a linux kernel image to run the NVDLA software, please refer to here on how to build a kernel image for NVDLA.

HW verion index

Commit info in github: 7cf6ad5a6e75f01aac1b0041288612e63a5999ac

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