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update overview of available software
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---
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json_ld:
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'@context': https://schema.org
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'@type': SoftwareApplication
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applicationCategory: DeveloperApplication
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description: "\n The Portable Hardware Locality (hwloc) software package provides\
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\ a portable\n abstraction (across OS, versions, architectures, ...) of the hierarchical\n\
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\ topology of modern architectures, including NUMA memory nodes, sockets, shared\n\
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\ caches, cores and simultaneous multithreading. It also gathers various system\n\
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\ attributes such as cache and memory information as well as the locality of I/O\n\
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\ devices such as network interfaces, InfiniBand HCAs or GPUs. It primarily\n\
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\ aims at helping applications with gathering information about modern computing\n\
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\ hardware so as to exploit it accordingly and efficiently.\n\n This provides\
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\ the CUDA and NVML plugins for hwloc\n"
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license: Not confirmed
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name: hwloc-CUDA
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offers:
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'@type': Offer
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price: 0
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operatingSystem: LINUX
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review:
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'@type': Review
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author:
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'@type': Organization
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name: EESSI
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reviewBody: Application has been successfully made available on all architectures
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supported by EESSI
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reviewRating:
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'@type': Rating
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ratingValue: 5
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softwareRequirements: See https://www.eessi.io/docs/ for how to make EESSI available
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on your system
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softwareVersion: '[''2.12.1'', ''2.11.2'']'
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url: https://www.open-mpi.org/projects/hwloc/
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---
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# hwloc-CUDA
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The Portable Hardware Locality (hwloc) software package provides a portable
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abstraction (across OS, versions, architectures, ...) of the hierarchical
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topology of modern architectures, including NUMA memory nodes, sockets, shared
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caches, cores and simultaneous multithreading. It also gathers various system
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attributes such as cache and memory information as well as the locality of I/O
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devices such as network interfaces, InfiniBand HCAs or GPUs. It primarily
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aims at helping applications with gathering information about modern computing
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hardware so as to exploit it accordingly and efficiently.
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This provides the CUDA and NVML plugins for hwloc
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<small>homepage: </small><span class="software-link">[https://www.open-mpi.org/projects/hwloc/](https://www.open-mpi.org/projects/hwloc/)</span>
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## Available installations
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|hwloc-CUDA version|Supported CPU targets|Supported GPU targets|EESSI version|Module|
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| --- | --- | --- | --- | --- |
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|2.12.1|`generic`: `aarch64`, `x86_64`<br/><span class="software-cpu-arm">Arm</span>: `neoverse_n1`, `neoverse_v1`, `nvidia/grace`<br/><span class="software-cpu-amd">AMD</span>: `zen2`, `zen3`, `zen4`, `zen5`<br/><span class="software-cpu-intel">Intel</span>: `haswell`, `skylake_avx512`, `sapphirerapids`, `icelake`, `cascadelake`<br/>|<span class="software-gpu-nvidia">NVIDIA</span>: `cc100`, `cc120`, `cc70`, `cc80`, `cc90`<br/>|<span class="software-eessi-version-202506">2025.06</span>|`hwloc-CUDA/2.12.1-GCCcore-14.3.0-CUDA-12.9.1`|
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|2.11.2|`generic`: `aarch64`, `x86_64`<br/><span class="software-cpu-arm">Arm</span>: `neoverse_n1`, `neoverse_v1`, `nvidia/grace`<br/><span class="software-cpu-amd">AMD</span>: `zen2`, `zen3`, `zen4`, `zen5`<br/><span class="software-cpu-intel">Intel</span>: `haswell`, `skylake_avx512`, `sapphirerapids`, `icelake`, `cascadelake`<br/>|<span class="software-gpu-nvidia">NVIDIA</span>: `cc100`, `cc120`, `cc70`, `cc80`, `cc90`<br/>|<span class="software-eessi-version-202506">2025.06</span>|`hwloc-CUDA/2.11.2-GCCcore-14.2.0-CUDA-12.8.0`|

mkdocs.yml

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- icon: fontawesome/brands/twitter
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link: https://twitter.com/eessi_hpc
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# this gets auto-updated via update_generated_time.sh script run in update_available_software.yml action
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generated_time: "Mon, 15 Jun 2026 at 04:51:42 UTC"
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generated_time: "Wed, 17 Jun 2026 at 15:43:26 UTC"
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slack_invite_url: "https://join.slack.com/t/eessi-hpc/shared_invite/zt-2wg10p26d-m_CnRB89xQq3zk9qxf1k3g"
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extra_javascript:
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# mermaid diagram

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