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services:computing:hpc [2024/10/15 09:27] calucci [Hardware and Software] |
services:computing:hpc [2024/10/28 14:42] (current) tringali Istruzioni per conda spostate in pagina dedicata |
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| Access to hardware-based performance counters is disabled by default for security reasons. It can be enabled on request, only for node-exclusive jobs (i.e. for allocations where a single job is allowed to run on each node), use ''sbatch -C hwperf --exclusive ...'' | Access to hardware-based performance counters is disabled by default for security reasons. It can be enabled on request, only for node-exclusive jobs (i.e. for allocations where a single job is allowed to run on each node), use ''sbatch -C hwperf --exclusive ...'' | ||
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| + | ===== Using conda env for PyTorch with CUDA support ===== | ||
| + | If you want to use Python AI libraries, chances are they'll be published with conda distribution system. To understand how to use conda environments on Ulysses GPU nodes, please refer to the [[services:computing:hpc:conda|HPC conda]] page. | ||
| ===== Filesystem Usage and Backup Policy ===== | ===== Filesystem Usage and Backup Policy ===== | ||