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services:computing:hpc [2024/10/11 12:21] calucci [Queue System] no more P9 |
services:computing:hpc [2024/10/28 14:42] (current) tringali Istruzioni per conda spostate in pagina dedicata |
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| - | SSH access to Ulysses v2 is provided via the login nodes at ''frontend1.hpc.sissa.it'' or ''frontend2.hpc.sissa.it'' from SISSA network or from SISSA [[:vpn|VPN]]. More access options might be made available in due time. | + | SSH access to Ulysses v2 is provided via the login nodes at ''frontend1.hpc.sissa.it'' or ''frontend2.hpc.sissa.it'' from SISSA network or from SISSA [[:vpn|VPN]]. |
| ===== Hardware and Software ===== | ===== Hardware and Software ===== | ||
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| The software tree is the same you have on Linux workstations, with the same [[services:modules|Lmod modules]] system (with the only exception of desktop-oriented software packages). | The software tree is the same you have on Linux workstations, with the same [[services:modules|Lmod modules]] system (with the only exception of desktop-oriented software packages). | ||
| - | A small number of POWER9-based nodes are also available (2 sockets, 16 cores, 4 threads per core; 256GB RAM) with 2 or 4 Tesla V100. Please note that you cannot run x86 code on POWER9. For an interactive shell on a P9 machine, please type ''p9login'' on frontend[12]. | + | <del>A small number of POWER9-based nodes are also available (2 sockets, 16 cores, 4 threads per core; 256GB RAM) with 2 or 4 Tesla V100. Please note that you cannot run x86 code on POWER9. For an interactive shell on a P9 machine, please type ''p9login'' on frontend[12].</del> |
| ===== Queue System ===== | ===== Queue System ===== | ||
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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 ===== | ||