Job monitoring on high-performance computing clusters is important for evaluating
hardware performance, troubleshooting failed jobs, identifying inefficient jobs and more. The …

Computer-based scientific experiments are becoming increasingly data-intensive. High-
Performance Computing (HPC) clusters are ideal for executing large scientific experiment …

SLURMminer is a tool designed to analyze SLURM systems in High-Performance
Computing (HPC) clusters. It utilizes process mining techniques to generate event logs …

High performance computing systems are used for compute-intensive jobs by multiple users.
The users submit jobs to batch queues where the jobs are queued for an unknown amount …

An important step in increasing the observability and efficient usage of computational power
on High Performance Computers is to capture data about running jobs, consequently storing …

Improving observability in large-scale distributed computing clusters has always been a
complex problem, particularly in High-Performance Computing (HPC). Despite the growing …

In 2023, we introduced the Jobstats job monitoring platform [9] which provides user-facing
commands and interfaces for inspecting the efficiency of Slurm jobs on CPU and GPU …