Automate the submission, monitoring, and notification of compute jobs on SLURM clusters or local subprocesses.
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Job Monitor enables AI models and users to seamlessly manage compute jobs across SLURM clusters and local environments. It provides a robust interface for submitting scripts, tracking their status in real-time, accessing logs, and receiving automatic notifications when jobs complete. This system streamlines the execution and monitoring of computational tasks, allowing for efficient workflow management and prompt feedback on experiment outcomes.
주요 기능
01Track and list detailed information for all submitted jobs
02Submit scripts to SLURM or local subprocesses with auto-detection
03Cancel active compute jobs
04Read real-time stdout/stderr logs for any running job
05Receive automatic wake-up notifications upon job completion (via MCP sampling)
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사용 사례
01Automating experimental runs and computational tasks for AI models
02Managing and monitoring compute jobs on SLURM clusters
03Receiving instant notifications when long-running jobs finish to proceed with analysis
