Questions regarding GPU Accelerated Signal Processing Blocks

Hello Everyone,

I hope this email finds you well. My name is Lunar, and I am currently a Ph.D. student at the University of Nebraska-Lincoln, specializing in wireless communication experimentation and data analysis using deep learning. Through my research, I have gained extensive experience with GNU Radio and USRP devices, and I am particularly interested in leveraging GPU acceleration for real-time signal processing.

The GPU-Accelerated Signal Processing Blocks project strongly aligns with my research interests, and I am eager to contribute. Before submitting my detailed proposal, I would appreciate some clarifications regarding the project scope:

1. Hardware/Computing Resources: Since this project requires GPU acceleration, will GNU Radio provide contributors with access to a CUDA-supported GPU, either via a development machine or through a cloud computing service? Or is it expected that contributors arrange this themselves?
2. Task Prioritization: The project outlines several subprojects. Is there a predefined priority among them, or should the contributor propose a development sequence based on feasibility and impact?
3. Testing Scope: Will unit tests for individual GPU-assisted computation blocks be sufficient, or is there an expectation to include integration tests with USRP devices to validate end-to-end performance?

Gaining clarity on these points will help me structure my proposal effectively. I appreciate your time and look forward to your guidance.

Best regards,
Lunar