SlurmSlim

# ⚠️⚠️⚠️WARNING: This project will no longer be updated. If you’re interested, feel free to fork it. # SlurmSlim 💵 **Optimize Slurm Job Scheduling with Intelligent Memory Estimation** ## Overview SlurmSlim is a lightweight and efficient tool designed to optimize job scheduling in **Slurm** by accurat ely estimating the required memory for scripts and programs. By leveraging **Model Context Protocol (MCP)**, **LLM models**, **file sizes**, and **system information**, SlurmSlim helps reduce computing costs by preventing over-allocated memory requests. ## Features - ✅ **Intelligent Memory Estimation** – Uses MCP and LLM models to predict the optimal memory allocation. - ✅ **Cost Reduction** – Prevents excessive memory requests, lowering overall compute costs. - ✅ **File & System-Aware** – Considers file sizes and system specs for precise estimation. - ✅ **Lightweight & Fast** – Designed for efficiency with minimal overhead. ## Installation ```sh git clone https://github.com/JianYang-Lab/SlurmSlim.git cd SlurmSlim uv sync # If applicable ``` ## Usage ```sh uv run client.py server.py ``` ## Example Output ``` Estimated Memory: 8.2 GB Suggested Slurm Command: sbatch --mem=8500M job_script.sh ``` ## Why Use SlurmSlim? - 🔹 **Saves Money** – No more over-provisioning, reducing unnecessary cloud or HPC costs. - 🔹 **Improves Efficiency** – Ensures jobs run smoothly without excessive memory requests. - 🔹 **Seamless Integration** – Works directly with Slurm job scripts and scheduling workflows. ## Future Work - Extend support for CPU & GPU resource optimization - Integration with other job schedulers (e.g., PBS, LSF) - Advanced machine learning models for prediction ## License 📜 MIT License ## Contributors - [Wenjie Wei](https://github.com/wjwei-handsome) - [Lounan Li](https://github.com/SGGb0nd)