Wideband autonomous SDR analysis engine forked from sdr-visual-suite
您最多选择25个主题 主题必须以字母或数字开头,可以包含连字符 (-),并且长度不得超过35个字符

1.2KB

gpudemod

Phase 1 CUDA demod scaffolding.

Current state

  • Standard Go builds use gpudemod_stub.go (!cufft).
  • cufft builds allocate GPU buffers and cross the CGO/CUDA launch boundary.
  • If CUDA launch wrappers are not backed by compiled kernels yet, the code falls back to CPU DSP.
  • The shifted IQ path is already wired so a successful GPU freq-shift result can be copied back and reused immediately.

First real kernel

kernels.cu contains the first candidate implementation:

  • gpud_freq_shift_kernel

This is not compiled automatically yet in the current environment because the machine currently lacks a CUDA compiler toolchain in PATH (nvcc not found).

Next machine-side step

On a CUDA-capable dev machine with toolchain installed:

  1. Compile kernels.cu into an object file
  2. Link it into the cufft build
  3. Replace gpud_launch_freq_shift(...) stub body with the real kernel launch
  4. Validate copied-back shifted IQ against dsp.FreqShift
  5. Only then move the next stage (FM discriminator) onto the GPU

Why this is still useful

The runtime/buffer/recorder/fallback structure is already in place, so once kernel compilation is available, real acceleration can be inserted without another architecture rewrite.