Research · STAGING_WORKER
GPU NR baseband
Educational and research baseband platform. The GPU and native radio code do not run on this Worker.
Explore evidence
Explore evidence
Evidence class: SYNTHETIC_SIM. The selector lists CPU synthetic benchmark rows. The GPU gate stays blocked.
Records copied from this repository
Overview
Overview
# gunnchos GPU NR Baseband Platform CPU-first, Aerial-aligned NR PUSCH-oriented baseband vertical slice with explicit separation of **educational substitute** vs **standards-path** vs **CPU validation** vs **CUDA candidate** vs **GPU measured** vs **3GPP conformance**. **Not a dissertation paper. Not 3GPP conformance. Not carrier-grade.** Supervisor path: [`docs/START_HERE_SUPERVISOR.md`](docs/START_HERE_SUPERVISOR.m
Host notes
- Apple M2 / CPU-only: build & test the CPU standards path. - Missing NVIDIA GPU → `BLOCKED_GPU` / `BLOCKED_HARDWARE` / `BLOCKED_GPU_RUNNER` JSON (never invent timings). - CompactQcLdpc + (16,8) LDPC live under `educational/` — **not** NR acceptance. - Real BG1/BG2 tables: `third_party/sionna_ldpc_codes/` (Apache-2.0) → `ldpc_bg_tables.hpp`.
Quick start
make bootstrap test make validate-phy-independent make cuda-correctness cuda-equivalence # BLOCKED_HARDWARE on Mac make gate4-cpu-reference optimization-study-cpu orchestrator gate6-dry-run
Methods
Methods are the CPU benchmark JSON files in results/benchmarks and the blocked gate in results/blocked_gpu/BLOCKED_GPU.json. CPU rows with status PASS copy median_us from those files. The blocked-GPU file says gpu_timings_present is false and numeric_gpu_claim is false. No GPU kernel timing is added here.
Native research runtimes stay on a local checkout. This page shows repository records only.
Artifacts
results/benchmarks/cpu_crc24a.jsonresults/benchmarks/cpu_eq_mmse_4x4.jsonresults/benchmarks/cpu_ldpc_nr_bg2.jsonresults/benchmarks/cpu_ldpc_nr_scaffold.jsonresults/benchmarks/cpu_ldpc_short.jsonresults/benchmarks/cpu_memory_layout.jsonresults/benchmarks/cpu_ofdm_64.jsonresults/benchmarks/cpu_ofdm_64_fft.jsonresults/benchmarks/cpu_scheduler_mac.jsonresults/benchmarks/cpu_scheduler_pf.jsonresults/benchmarks/cuda_graphs_streams.jsonresults/benchmarks/gate4_cuda_build.json
Limitations
- No live gNodeB is claimed
- Native and GPU code stay off this Worker
About / Build status / Evidence
What is this?
Educational and research baseband platform. The GPU and native radio code do not run on this Worker.
The research code is not executing here. This is a research surface.
Why does it exist?
It gives this repository a public web surface inside the gunnchOS ecosystem without pretending the original runtime runs on Cloudflare Workers.
What can I actually do with it today?
Use the primary action to inspect repository records, then open the source for the local toolchain.
What is not finished?
- No live gNodeB is claimed
- Native and GPU code stay off this Worker
STAGING_WORKER
Runtime mode on this page: PRECOMPUTED. No remote model call is made.