More cleanup, fix up readme, add dedicated hetzner machines for more stable results

.github/workflows/benchmarks.yaml

@@ -1,10 +1,6 @@
 name: Benchmarks
 
 on:
-  # Run on schedule - weekly benchmarks
-  schedule:
-    - cron: '0 2 * * 0'  # Every Sunday at 2 AM UTC
-
   # Manual trigger with options
   workflow_dispatch:
     inputs:
@@ -22,8 +18,16 @@ on:
         default: 'cx23'
         type: choice
         options:
-          - 'cx23'  # 2 vCPU, 4GB RAM
-          - 'cx43'  # 8 vCPU, 16GB RAM
+          - 'cx23'   # 2 vCPU, 4GB RAM (shared)
+          - 'cx33'   # 4 vCPU, 8GB RAM (shared)
+          - 'cx43'   # 8 vCPU, 16GB RAM (shared)
+          - 'cx53'   # 16 vCPU, 32GB RAM (shared)
+          - 'ccx13'  # 2 vCPU, 8GB RAM (dedicated AMD EPYC)
+          - 'ccx23'  # 4 vCPU, 16GB RAM (dedicated AMD EPYC)
+          - 'ccx33'  # 8 vCPU, 32GB RAM (dedicated AMD EPYC)
+          - 'ccx43'  # 16 vCPU, 64GB RAM (dedicated AMD EPYC)
+          - 'ccx53'  # 32 vCPU, 128GB RAM (dedicated AMD EPYC)
+          - 'ccx63'  # 48 vCPU, 192GB RAM (dedicated AMD EPYC)
       commit_range:
         description: 'Commit range to benchmark (e.g., HEAD~5..HEAD)'
         required: false
@@ -96,7 +100,7 @@ jobs:
 
   # Full benchmarks on Hetzner Cloud
   benchmark-hetzner:
-    if: github.event_name == 'schedule' || (github.event_name == 'workflow_dispatch' && github.event.inputs.use_hetzner == 'true') || (github.event_name == 'push' && github.ref == 'refs/heads/main')
+    if: (github.event_name == 'workflow_dispatch' && github.event.inputs.use_hetzner == 'true') || (github.event_name == 'push' && github.ref == 'refs/heads/main')
     runs-on: ubuntu-latest
 
     steps:

README.md

@@ -146,7 +146,6 @@ python -m csp_benchmarks.hetzner.cli cleanup
 
 Benchmarks run automatically:
 
-- **Weekly**: Full benchmarks on Hetzner Cloud (Sunday 2 AM UTC)
 - **On push to main**: Benchmarks for the new commit
 - **Manual trigger**: Via workflow_dispatch with custom options
 
@@ -158,7 +157,75 @@ View the latest results at: <https://csp-community.github.io/csp-benchmarks/>
 
 ## Contributing
 
+### Adding New Benchmarks
+
 1. Add new benchmarks to the `benchmarks/` directory
 1. Follow ASV naming conventions (`bench_*.py`, class names ending in `Suite`)
 1. Use parameterized benchmarks for testing across different configurations
 1. Run `make benchmark-local` to test your benchmarks before submitting
+
+### Contributing Machine Results
+
+You can contribute benchmark results from your own machine to help the community understand csp performance across different hardware configurations.
+
+#### Step 1: Register Your Machine
+
+Add your machine to `csp_benchmarks/asv-machine.json`. Use a unique, descriptive name:
+
+```json
+{
+    "timkpaine-framework-13": {
+        "arch": "x86_64",
+        "cpu": "AMD Ryzen AI 9 HX 370 (24 cores)",
+        "machine": "timkpaine-framework-13",
+        "num_cpu": "24",
+        "os": "Ubuntu 24.04",
+        "ram": "64GB"
+    }
+}
+```
+
+Machine naming convention: `username-device-model` (e.g., `timkpaine-framework-13`, `johndoe-mbp-m3`)
+
+#### Step 2: Run Benchmarks
+
+```bash
+# Install dependencies
+pip install -e ".[develop]"
+
+# Copy machine config to ASV location
+cp csp_benchmarks/asv-machine.json ~/.asv-machine.json
+
+# Run benchmarks with your machine name
+python -m asv run --config csp_benchmarks/asv.conf.json --machine your-machine-name
+
+# Or use make (runs with local Python)
+make benchmark-local
+```
+
+#### Step 3: Verify Results
+
+```bash
+# Check that results were created
+ls csp_benchmarks/results/your-machine-name/
+
+# Preview the results locally
+make benchmark-view
+```
+
+#### Step 4: Submit a Pull Request
+
+1. Fork the repository
+1. Create a branch: `git checkout -b add-machine-results`
+1. Commit your changes:
+   - `csp_benchmarks/asv-machine.json` (your machine entry)
+   - `csp_benchmarks/results/your-machine-name/` (your result files)
+1. Open a PR with a description of your hardware
+
+#### Tips for Consistent Results
+
+- Close other applications during benchmarking
+- Run on AC power (not battery) for laptops
+- Ensure stable CPU frequency (disable turbo boost for more consistent results)
+- Run multiple times and verify results are stable
+- Include your OS version and Python version in the PR description

csp_benchmarks/asv-machine.json

@@ -15,6 +15,14 @@
         "os": "Ubuntu 24.04",
         "ram": "4GB"
     },
+    "hetzner-cx33": {
+        "arch": "x86_64",
+        "cpu": "Intel/AMD (4 vCPU)",
+        "machine": "hetzner-cx33",
+        "num_cpu": "4",
+        "os": "Ubuntu 24.04",
+        "ram": "8GB"
+    },
     "hetzner-cx43": {
         "arch": "x86_64",
         "cpu": "Intel/AMD (8 vCPU)",
@@ -23,6 +31,62 @@
         "os": "Ubuntu 24.04",
         "ram": "16GB"
     },
+    "hetzner-cx53": {
+        "arch": "x86_64",
+        "cpu": "Intel/AMD (16 vCPU)",
+        "machine": "hetzner-cx53",
+        "num_cpu": "16",
+        "os": "Ubuntu 24.04",
+        "ram": "32GB"
+    },
+    "hetzner-ccx13": {
+        "arch": "x86_64",
+        "cpu": "AMD EPYC (2 dedicated vCPU)",
+        "machine": "hetzner-ccx13",
+        "num_cpu": "2",
+        "os": "Ubuntu 24.04",
+        "ram": "8GB"
+    },
+    "hetzner-ccx23": {
+        "arch": "x86_64",
+        "cpu": "AMD EPYC (4 dedicated vCPU)",
+        "machine": "hetzner-ccx23",
+        "num_cpu": "4",
+        "os": "Ubuntu 24.04",
+        "ram": "16GB"
+    },
+    "hetzner-ccx33": {
+        "arch": "x86_64",
+        "cpu": "AMD EPYC (8 dedicated vCPU)",
+        "machine": "hetzner-ccx33",
+        "num_cpu": "8",
+        "os": "Ubuntu 24.04",
+        "ram": "32GB"
+    },
+    "hetzner-ccx43": {
+        "arch": "x86_64",
+        "cpu": "AMD EPYC (16 dedicated vCPU)",
+        "machine": "hetzner-ccx43",
+        "num_cpu": "16",
+        "os": "Ubuntu 24.04",
+        "ram": "64GB"
+    },
+    "hetzner-ccx53": {
+        "arch": "x86_64",
+        "cpu": "AMD EPYC (32 dedicated vCPU)",
+        "machine": "hetzner-ccx53",
+        "num_cpu": "32",
+        "os": "Ubuntu 24.04",
+        "ram": "128GB"
+    },
+    "hetzner-ccx63": {
+        "arch": "x86_64",
+        "cpu": "AMD EPYC (48 dedicated vCPU)",
+        "machine": "hetzner-ccx63",
+        "num_cpu": "48",
+        "os": "Ubuntu 24.04",
+        "ram": "192GB"
+    },
     "timkpaine-mbp-m2": {
         "arch": "arm64",
         "cpu": "Apple M2 (8 cores)",