Alfred
/
sdr-wideband-suite
1
0
Fork 0
Code Issues 0 Pull-Requests 0 Releases 0 Wiki Aktivität
Wideband autonomous SDR analysis engine forked from sdr-visual-suite
Du kannst nicht mehr als 25 Themen auswählen Themen müssen entweder mit einem Buchstaben oder einer Ziffer beginnen. Sie können Bindestriche („-“) enthalten und bis zu 35 Zeichen lang sein.
341 Commits
1 Branch
46MB
Branch: master
Branches Tags
${ item.name }
Erstelle Branch ${ searchTerm }
von „master“
${ noResults }
sdr-wideband-suite/internal/demod/gpudemod
Jan Svabenik f27080b8b5 Update web audio player and streamer diagnostics vor 22 Stunden
..
build Update web audio player and streamer diagnostics vor 22 Stunden
native Improve GPU phase precision vor 22 Stunden
README.md docs: split CUDA build paths by platform vor 5 Tagen
batch.go Implement streaming recording redesign vor 3 Tagen
batch_runner.go Implement streaming recording redesign vor 3 Tagen
batch_runner_other.go Checkpoint current working SDR pipeline state vor 4 Tagen
batch_runner_test.go chore: rename module to sdr-wideband-suite vor 2 Tagen
batch_runner_windows.go chore: rename module to sdr-wideband-suite vor 2 Tagen
doc.go docs: add initial CUDA demod kernel source vor 5 Tagen
errors.go Introduce reusable gpudemod batch runner vor 5 Tagen
gpudemod.go chore: rename module to sdr-wideband-suite vor 2 Tagen
gpudemod_cufft_test.go build: wire CUDA demod package through nvcc and MSVC vor 5 Tagen
gpudemod_stub.go Add GPU shift-filter-decimate path for signal extraction vor 5 Tagen
gpudemod_test.go feat: prepare CUDA demod launch boundary vor 5 Tagen
gpudemod_windows.go chore: rename module to sdr-wideband-suite vor 2 Tagen
kernels.cu Improve GPU phase precision vor 22 Stunden
validation.go chore: rename module to sdr-wideband-suite vor 2 Tagen
validation_extra.go chore: rename module to sdr-wideband-suite vor 2 Tagen
validation_extra_test.go feat: add demod validation and GPU mode telemetry vor 5 Tagen
validation_runtime.go Disable GPU validation by default in production vor 5 Tagen
validation_test.go chore: rename module to sdr-wideband-suite vor 2 Tagen
windows_bridge.go feat: parallelize mixed-bandwidth GPU batch demod vor 4 Tagen

README.md

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.
  • Build orchestration should now be considered OS-specific; see docs/build-cuda.md.

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 and archive it into a linkable library
    • helper script: tools/build-gpudemod-kernel.ps1
  2. On Jan's Windows machine, the working kernel-build path currently relies on nvcc + MSVC cl.exe in PATH
  3. Link gpudemod_kernels.lib into the cufft build
  4. Replace gpud_launch_freq_shift(...) stub body with the real kernel launch
  5. Validate copied-back shifted IQ against dsp.FreqShift
  6. 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.