da2c4c6b8a
- architecture.md: fix kernel param math to match actual computed values, use cardN placeholder in sysfs paths, clarify system_ram_kb is OS-visible - benchmarking.md: normalize flags to -ngl 99 / -mmp 0 (matching code), add llama-rocm7-nightlies backend - CLAUDE.md: clarify HSA_OVERRIDE_GFX_VERSION is set in containers not scripts, fix lib sourcing description, specify which scripts need root - detect.sh: document detect_cpu_cores returns threads not cores - troubleshooting.md: add link to references.md - README.md: remove unsupported Fedora 42 claim, describe configs/ content Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
126 lines
5.8 KiB
Markdown
126 lines
5.8 KiB
Markdown
# Architecture
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## Script Layers
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```
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bin/ User entry points (thin dispatchers)
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audit → scripts/audit/
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monitor → scripts/monitor/
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benchmark → scripts/benchmark/
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optimize → scripts/optimize/
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scripts/ Implementation (sourcing lib/ for shared logic)
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audit/ System assessment
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monitor/ GPU/system monitoring + metrics logging
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benchmark/ llama-bench via toolbox containers
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optimize/ GRUB, tuned, BIOS guidance, verify, rollback
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lib/ Shared bash libraries (sourced, not executed)
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common.sh Logging, root checks, confirm prompts, paths
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detect.sh Hardware/config detection from sysfs + system tools
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format.sh Color output, human_bytes, status indicators, tables
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configs/ Reference configuration templates
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data/ Runtime output (gitignored)
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docs/ Documentation
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```
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Scripts source libs as needed: always `common.sh` first, then `detect.sh` for hardware detection, then `format.sh` for formatted output. Not all scripts need all three — `rollback.sh` only needs `common.sh`, for example. `format.sh` depends on color variables defined in `common.sh`.
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## Data Flow
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```
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/sys/class/drm/card1/device/ ──→ lib/detect.sh ──→ scripts/audit/
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/proc/cpuinfo, /proc/meminfo ──→ (detect_*) ──→ scripts/monitor/
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/proc/cmdline ──→ ──→ scripts/optimize/
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tuned-adm, rpm, lspci ──→ ──→ scripts/benchmark/
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│
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▼
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data/
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├── audits/*.json
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├── logs/*.csv
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├── baselines/*/summary.json
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└── benchmarks/*/summary.json
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```
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## Unified Memory Model
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AMD Strix Halo shares physical RAM between CPU and GPU. Two allocation mechanisms:
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| Type | Description | Configuration |
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|------|-------------|---------------|
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| **VRAM (dedicated)** | Permanently reserved for GPU framebuffer | BIOS setting (UMA Frame Buffer Size) |
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| **GTT (dynamic)** | System RAM mapped into GPU address space on demand | Kernel boot params: `amdgpu.gttsize`, `ttm.pages_limit` |
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**Optimal for LLM workloads**: Minimize VRAM (0.5 GiB), maximize GTT (~60 GiB on 64 GB system). The GPU borrows memory when needed and releases it when idle.
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### Kernel Parameter Math
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The formula (using integer GiB arithmetic):
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```
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total_physical_gib = (visible_ram + dedicated_vram) / 1024 / 1024 (integer division)
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gtt_gib = total_physical_gib - 4 (4 GiB OS reserve)
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amdgpu.gttsize = gtt_gib * 1024 (MiB)
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ttm.pages_limit = amdgpu.gttsize * 256 (4K pages)
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iommu = pt (passthrough)
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```
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Actual values depend on how the OS reports memory. On a 64 GB HP ZBook with 32 GB dedicated VRAM:
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```
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visible_ram ≈ 31.1 GiB, vram = 32 GiB → total ≈ 63 GiB (integer: 59 GiB GTT)
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amdgpu.gttsize = 60416, ttm.pages_limit = 15466496
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```
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Run `make audit` to see the exact computed values for your system. The toolkit computes these dynamically via `recommended_gttsize_mib()` and `recommended_pages_limit()` in `lib/detect.sh`.
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### Sysfs Paths
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Card number is auto-detected by `find_gpu_card()` in `lib/detect.sh` (matches AMD vendor ID `0x1002`, falls back to first card with `mem_info_vram_total`). Below uses `cardN` as placeholder:
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| Path | Content |
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|------|---------|
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| `/sys/class/drm/cardN/device/mem_info_vram_total` | Dedicated VRAM in bytes |
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| `/sys/class/drm/cardN/device/mem_info_vram_used` | VRAM currently in use |
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| `/sys/class/drm/cardN/device/mem_info_gtt_total` | GTT allocation in bytes |
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| `/sys/class/drm/cardN/device/mem_info_gtt_used` | GTT currently in use |
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| `/sys/class/drm/cardN/device/gpu_busy_percent` | GPU utilization 0-100 |
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| `/sys/class/drm/cardN/device/hwmon/hwmon*/temp1_input` | Temperature in millidegrees C |
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| `/sys/class/drm/cardN/device/hwmon/hwmon*/power1_average` | Power in microwatts |
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## JSON Output Schemas
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### system-state.json (from `audit --json`)
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```json
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{
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"timestamp": "20260325-120000",
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"hardware": { "cpu_model": "...", "cpu_cores": 16, "cpu_threads": 32, "gpu_name": "...", "gpu_device_id": "1586", "system_ram_kb": 32609248 }, // OS-visible RAM (excludes dedicated VRAM)
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"memory": { "vram_total_bytes": 0, "vram_used_bytes": 0, "gtt_total_bytes": 0, "gtt_used_bytes": 0, "recommended_gttsize_mib": 0, "recommended_pages_limit": 0 },
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"kernel": { "version": "...", "cmdline": "...", "param_iommu": "", "param_gttsize": "", "param_pages_limit": "" },
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"firmware": "...", "tuned_profile": "...", "rocm_version": "...",
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"vulkan": { "driver": "...", "version": "..." },
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"sensors": { "gpu_temp_mc": 0, "gpu_power_uw": 0, "gpu_busy_pct": 0 },
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"toolboxes": [], "stacks": { "ollama": "...", "lmstudio": "...", "llamacpp": "...", "opencode": "..." }
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}
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```
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### summary.json (from benchmark runs)
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```json
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{
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"results": [
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{ "file": "model__backend__fa1.log", "model": "...", "size": "...", "backend": "Vulkan", "test": "pp512", "tokens_per_sec": 548.18, "raw": "548.18 +/- 1.59" }
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]
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}
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```
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### metrics.csv (from `monitor --log`)
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```
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timestamp,gpu_busy_pct,vram_used_mib,gtt_used_mib,gpu_temp_c,gpu_power_w,cpu_pct,ram_used_mib
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```
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Sampled every 2 seconds by default. Pure bash implementation (no subshell forks per sample).
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