Arbitrary waveform generation on a GPU using the additive synthesis framework for waveform synthesis
This is a software achitecture for real-time arbitrary waveform generation based on a CUDA GPU and PCIe DAC module, allowing for a high throughput static waveform generation as well as a flexible and low-latecy computation of complex waveforms.
Currently this project is implemented with two pathways of generating dynamic waveforms with chirping tones.
The program only runs on a Linux system and requires a NVIDIA GPU and a PCIe interfaced DAC card both with GPUDirect RDMA support.
First install NVIDIA CUDA Tool Kit, CUDA Driver, and Open GPU Kernel Modules following guide here, or following the guide provided by your DAC vendor. Remember to disable IOMMU to avoid RDMA errors; you should be able to do that in your BIOS setting.
The DAC we used is theSpectrum Instrumentation M4i.6622-x8, whose driver includes are included in the folder spcm_header
. The drivers and their installation guide could be found here. If you are using other DACs, you would need to configure the device handle hCard
and the pinned buffer pvDMABuffer_gpu
accordingly.
To compile the code, you may also need to g++ installed as the host compiler.
With the drivers and compilers verified, you should be able to compile with the code. You need to modify the Makefile
to make sure: 1. The CUDA driver directory is set properly; 2. The source file name matches the code you would like to compile, which by default should be one of the waveform_synthesis*.cu
files. Upon the successful compilation, an executable waveform_synthesis
should appear in the code directory.
Currently there is no GUI interface. The parameters of generated waveform could be editted in parameters
files. For real-time interface, the server in waveform_synthesis*.cu
, or other kinds of interruption needs to be implemented.
The Nvidia NSight Profile of the cuda function in this program is placed in the benchmark
folder; the code used for testing is located in the benchmark\test_setting
folder.
Please see the 2403.15582 correlated with this project. Please contanct Juntian Tu juntian"at"umd.edu for issues related to this repository.