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This page explains how to correctly request memory in Slurm scripts on the SDSU Discovery HPC cluster and how to diagnose memory-related errors. On Discovery, the word “memory” always means RAM, not file storage.

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This article explains when using a GPU is actually helpful. It shows that GPUs are not always faster because data must be moved between the CPU and GPU, and not all software supports GPUs. It helps users how to understand how to request GPUs, check usage, avoid common mistakes, and run jobs efficiently on Discovery.

This article provides a practical, overview of how GPU computing works on the Discovery cluster, helping researchers understand when and how to use GPUs effectively. It explains why GPUs do not automatically outperform CPUs, emphasizing key factors such as data transfer overhead, workload size, and the need for GPU-enabled software.