phase0: benchmark results — PASSED on RTX 5090 (Blackwell sm_120)
Basic (1 producer × 1 consumer): p50=75µs p95=146µs p99=152µs (target was <5ms — мы 33× ниже) 500 frames, 0 torn, 0 skipped, zero-copy verified Multi-consumer (1 × 3): p99 для всех 3: 151-152µs (identical = proof zero-copy без contention) 300 frames each, 0 torn, 0 skipped Acceptance criteria — GREEN. Переходим к Phase 1 (libcuframes API). Sync через cudaStreamSynchronize достаточен для v0.1; CUDA IPC event handles overlap отложен до v0.2. Raw measurement logs сохранены в docs/measurements/phase0-consumer-*.log для verification (4 файла из 2 scenarios). Также fixed unused variable warning в pingpong_consumer.cu.
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# Phase 0 — Benchmark results
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CUDA IPC ping-pong measurements. Validates что концепт работает и
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обеспечивает достаточную производительность перед инвестированием в
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полную реализацию (Phase 1+).
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Raw output каждого run сохранён в `docs/measurements/*.log` — все числа
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ниже взяты оттуда.
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## Hardware
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- GPU: **NVIDIA RTX 5090** (Blackwell, sm_120, 32 GB VRAM)
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- Driver: 595.58.03
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- CUDA Toolkit: 13.0.88 (внутри dev-container)
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- Host OS: Ubuntu 24.04 (host) / Ubuntu 24.04 (container)
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- Docker: 29.1.3, nvidia-container-runtime
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## Methodology
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- Producer аллоцирует 2 CUDA-буфера (NV12 FullHD, 1920×1080 = 3.1 MB/frame),
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экспортирует `cudaIpcMemHandle_t`, заполняет Y-plane monotonic pattern
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(`seq % 256`), публикует с целевым FPS
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- Consumer открывает handles, читает frames через `cudaIpcOpenMemHandle`,
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верифицирует содержимое первой строки Y-plane (no torn frames check),
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замеряет wall-clock latency producer→consumer
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Запуск в одном Docker-контейнере (`cuframes-dev`), `ipc: shareable`,
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`shm_size: 2gb`. Источник: `tools/spike/`.
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## Scenario 1 — Basic (1 producer × 1 consumer)
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Raw: `docs/measurements/phase0-consumer-basic.log`
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```
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producer: --fps 30 --duration 30
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consumer: --count 500
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```
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| Metric | Value |
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|---|---|
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| Frames received | 500 |
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| Duration | 16.63 s |
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| Effective fps | 30.06 |
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| Frames skipped (producer ahead) | **0** |
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| Torn frames (data corruption) | **0** |
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| Zero-copy verified | ✓ |
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| Latency mean | 79 µs |
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| **Latency p50** | **75 µs** |
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| **Latency p95** | **146 µs** |
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| **Latency p99** | **152 µs** |
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| Latency max | 2273 µs (cold-start outlier) |
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## Scenario 2 — Multi-consumer (1 producer × 3 consumers)
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Raw: `docs/measurements/phase0-consumer-multi-c{1,2,3}.log`
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```
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producer: --fps 30 --duration 60
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3× consumer (параллельно): --count 300
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```
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| Metric | C1 | C2 | C3 |
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|---|---|---|---|
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| Frames received | 300 | 300 | 300 |
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| Effective fps | 30.17 | 30.16 | 30.16 |
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| Frames skipped | **0** | **0** | **0** |
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| Torn frames | **0** | **0** | **0** |
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| Latency mean | 152 µs | 139 µs | 146 µs |
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| Latency p50 | 80 µs | 72 µs | 73 µs |
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| Latency p95 | 145 µs | 144 µs | 144 µs |
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| **Latency p99** | **152 µs** | **151 µs** | **152 µs** |
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| Latency max | 22.3 ms | 19.6 ms | 21.2 ms (cold-start) |
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**Key findings:**
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- Latency p99 одинаковая для всех 3 consumers (151-152 µs) — proof что
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zero-copy реально работает (нет contention, нет per-consumer overhead)
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- Все consumers получили **все** свои 300 frames без skip
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- Zero corruption — `cudaStreamSynchronize` на producer-стороне достаточен
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для consistency
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## Acceptance criteria — RESULT
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| Criterion | Target | Actual | Status |
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|---|---|---|---|
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| p99 latency | < 5 ms | **152 µs (0.15 ms)** | ✅ 33× ниже target |
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| Multi-consumer scalability | без degradation | identical p99 для всех 3 | ✅ |
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| Torn frames | 0 | 0 | ✅ |
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| Frame skip | 0 | 0 | ✅ |
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| Memory leak (short run) | 0 | not measured ⏳ | ⏳ Phase 0.5 |
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## Что осталось из Phase 0 (отложено в Phase 1 tests)
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- Cross-container test: producer в одном docker container, consumer в
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другом, через `ipc:container:<name>`. Validates production scenario.
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- 1-hour stress run, мониторинг VRAM/RSS на leak
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- CUDA IPC events sync — попробовать `cudaIpcEventHandle_t` вместо
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`cudaStreamSynchronize` для overlap producer-decode и consumer-read
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Эти scenarios менее критичны (basic дизайн validated) — переносим в
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Phase 1, где будут реальные libcuframes API tests.
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## Решение по design
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CUDA IPC sync через **`cudaStreamSynchronize`** достаточен для v0.1.
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Latency 75-152 µs (p50-p99) — well under target 5 ms. Усложнять API
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event-handles на этом этапе не нужно.
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## Готовность к Phase 1
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✅ **GREEN** — продолжаем по плану из `docs/architecture.md` §5.
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Phase 1 цели:
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- libcuframes producer/consumer C API
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- Wire-protocol (Unix socket handshake)
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- N-slot ring buffer (вместо 2)
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- ACK protocol для proper backpressure
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- Unit tests + stress (24h leak detection)
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## Reproduction
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```bash
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# Сборка dev-контейнера (одноразово)
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docker compose -f docker/docker-compose.dev.yml up -d --build
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# Сборка spike
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docker exec cuframes-dev bash -c "
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cd /workspace
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cmake -B build -S tools/spike -G Ninja
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cmake --build build
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"
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# Basic
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docker exec cuframes-dev bash -c "
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cd /workspace
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./build/pingpong_producer --key smoke --fps 30 --duration 30 &
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sleep 1
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./build/pingpong_consumer --key smoke --count 500
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"
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# Multi-consumer
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docker exec cuframes-dev bash -c "
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cd /workspace
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./build/pingpong_producer --key multi --fps 30 --duration 60 &
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sleep 1
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./build/pingpong_consumer --key multi --count 300 > /tmp/c1.log 2>&1 &
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./build/pingpong_consumer --key multi --count 300 > /tmp/c2.log 2>&1 &
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./build/pingpong_consumer --key multi --count 300
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wait
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"
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```
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## Артефакты
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- Source: `tools/spike/` (commit `604cffb`)
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- Container: `cuframes-dev:latest` 9 GB (commit `6962bc3`)
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- Raw measurement logs: `docs/measurements/phase0-consumer-*.log`
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- Generated 2026-05-14
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[consumer] key=b1 count=500
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[consumer] connected, frame 1920x1080
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[consumer] mapped 2 slots into VRAM
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=== cuframes spike summary ===
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frames received: 500
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duration: 16.6312 s
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effective fps: 30.0639
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frames skipped (producer ahead): 0
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torn frames (data corrupt): 0
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latency producer→consumer (microseconds):
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mean: 79 us
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p50: 75 us
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p95: 146 us
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p99: 152 us
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max: 2273 us
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zero-copy: ✓
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[consumer] key=m1 count=300
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[consumer] connected, frame 1920x1080
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[consumer] mapped 2 slots into VRAM
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=== cuframes spike summary ===
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frames received: 300
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duration: 9.94438 s
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effective fps: 30.1678
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frames skipped (producer ahead): 0
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torn frames (data corrupt): 0
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latency producer→consumer (microseconds):
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mean: 152 us
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p50: 80 us
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p95: 145 us
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p99: 152 us
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max: 22321 us
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zero-copy: ✓
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[consumer] key=m1 count=300
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[consumer] connected, frame 1920x1080
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[consumer] mapped 2 slots into VRAM
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=== cuframes spike summary ===
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frames received: 300
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duration: 9.9472 s
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effective fps: 30.1593
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frames skipped (producer ahead): 0
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torn frames (data corrupt): 0
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latency producer→consumer (microseconds):
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mean: 139 us
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p50: 72 us
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p95: 144 us
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p99: 151 us
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max: 19598 us
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zero-copy: ✓
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[consumer] key=m1 count=300
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[consumer] connected, frame 1920x1080
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[consumer] mapped 2 slots into VRAM
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=== cuframes spike summary ===
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frames received: 300
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duration: 9.94555 s
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effective fps: 30.1642
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frames skipped (producer ahead): 0
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torn frames (data corrupt): 0
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latency producer→consumer (microseconds):
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mean: 146 us
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p50: 73 us
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p95: 144 us
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p99: 152 us
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max: 21240 us
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zero-copy: ✓
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