slurmray 9.11.1

SlurmRay is an official tool from DESI @ HEC UNIL for effortlessly distributing tasks on Slurm clusters (e.g., Curnagl) or standalone servers (e.g., ISIPOL09/Desi) using the Ray library.

SlurmRay v9.10.0 - Autonomous Distributed Ray on Slurm

[!IMPORTANT] Bug Reports: SlurmRay is in beta. If you find a bug, please report it on GitHub.

[!TIP] Full Documentation: Access the complete documentation here.

The intelligent bridge between your local terminal and High-Performance Computing (HPC) power.

SlurmRay allows you to transparently distribute your Python tasks across Slurm clusters (like Curnagl) or standalone servers (like Desi). It handles environment synchronization, local package detection, and task distribution automatically, turning your local machine into a control center for massive compute resources.

Current State: Version 9.10.0 (Feb 12). Recursive Callable Args Scanning: The scanner now recursively walks all data structures (nested dicts, lists, tuples) passed as function arguments to detect local callable objects and their dependencies at any depth. Only project-local callables are scanned (installed libraries are filtered via inspect.getfile). Handles circular references safely. Removed aggressive parent directory expansion in file sync that caused cross-job contamination.

[!NOTE] Ray Multiprocessing Patch (v9.0.2): Uses a proxy module that preserves all multiprocessing attributes (Queue, Process, Lock, reduction, etc.) while overriding only Pool with Ray's distributed version. Fixes all ImportError issues from v9.0.0-9.0.1.

Libraries Supported: sentence-transformers, ColBERT, torch.multiprocessing, and any library using standard multiprocessing.

⚠️ Infrastructure Warning (Jan 28 2026)

Python 3.12.1 on Desi is currently unstable (Ray Segfaults). While the new uv integration fixes the installation issues, runtime crashes (Exit 245) have been observed. Recommendation: Use Python 3.11.6 for critical workloads until the Ray binary incompatibility is resolved.

🌟 Key Features (SlurmRay v9.2.0)

• Smart Hash Sync with Delete Detection: Uses local mtime/size cache for instant scans, verifies remote file existence, and automatically removes stale files on the cluster when files are renamed or deleted locally.
• Ray Multiprocessing Patch: Transparently replaces multiprocessing.Pool with ray.util.multiprocessing.Pool for distributed execution.
• Local Wheel Packages Auto-Upload: Reads [tool.hatch.build.targets.wheel].packages from your pyproject.toml and automatically uploads declared local packages (e.g. vendored libraries) to the cluster. Excludes them from requirements.txt to prevent failed PyPI installs.
• Zero-Config Launch: No project_name required. Auto-git detection.
• Robust Venv: Uses uv venv to safely create environments even on broken system Pythons.
• Precision Logging: Explicitly reports why a venv is reused or rebuilt (Hash Match vs Missing).

Main Entry Scripts

Script/Command	Description	Usage / Example
slurmray curnagl	Connect to Curnagl cluster via CLI	slurmray curnagl
slurmray desi	Connect to Desi server via CLI	slurmray desi
pytest tests/...	Run test suites	pytest tests/test_local_complete_suite.py

Installation

pip install -e .

Prerequisites

• Local: Python 3.9+
• Remote: SSH access to a Slurm cluster or a standalone server with Ray support.
• Configuration: Create a .env file at the root.

Key Results (Performance Baseline)

Scenario	Mode	Status	Avg Time
CPU Task (Simple)	Local	✅ Pass	< 2s
GPU Task (Detection)	Desi	✅ Pass	~15s
Dependency Detection	Slurm	✅ Pass	< 1s
Concurrent Launch (3 jobs)	Local	✅ Pass	~5s
Multiprocessing Patch	Local	✅ Pass	~30s

Repository Map

root/
├── slurmray/              # Core logic
│   ├── backend/           # Backends (Slurm, Desi, Local)
│   ├── assets/            # Templates & Wrappers
│   ├── scanner.py         # AST Dependency Detection
│   ├── file_sync.py       # File Synchronization Logic
│   ├── RayLauncher.py     # Main API Entry Point
│   └── cli.py             # Interactive CLI
├── scripts/               # Maintenance & Cleanup utilities
├── tests/                 # Comprehensive test suites
├── documentation/         # HTML/Markdown docs
├── install.sh             # Installation Helper
└── README.md              # Documentation source

Utility Scripts (scripts/)

Script	Rôle technique	Contexte d'exécution
diagnose_uv.py	Validates uv based environment handling	Local/Remote
diagnose_ray_segfault.py	Diagnoses 3.12.1 Segfaults on Desi	Remote
check_desi_locks.py	Inspects lock files on Desi	Local (connects to Remote)
check_desi_resources.py	Checks CPU/GPU availability	Local (connects to Remote)
cleanup_desi_projects.py	Removes old projects/venvs	Maintenance

Roadmap

Priority	Task	Status
🔥 High	Global Venv Caching	Optimization of setup times.
⚡ Medium	Live Dashboard	Real-time monitoring UI.
🌱 Low	Container Support	Apptainer/Singularity support on Slurm.

👥 Credits & License

Bugs & Support: This library is currently in beta. If you encounter any bugs, please report them on the GitHub Issues page.

Maintained by the DESI Department @ HEC UNIL. License: MIT.