update overview of available software

docs/available_software/detail/hwloc-CUDA.md

@@ -0,0 +1,60 @@
+---
+json_ld:
+  '@context': https://schema.org
+  '@type': SoftwareApplication
+  applicationCategory: DeveloperApplication
+  description: "\n The Portable Hardware Locality (hwloc) software package provides\
+    \ a portable\n abstraction (across OS, versions, architectures, ...) of the hierarchical\n\
+    \ topology of modern architectures, including NUMA memory nodes, sockets, shared\n\
+    \ caches, cores and simultaneous multithreading. It also gathers various system\n\
+    \ attributes such as cache and memory information as well as the locality of I/O\n\
+    \ devices such as network interfaces, InfiniBand HCAs or GPUs. It primarily\n\
+    \ aims at helping applications with gathering information about modern computing\n\
+    \ hardware so as to exploit it accordingly and efficiently.\n\n This provides\
+    \ the CUDA and NVML plugins for hwloc\n"
+  license: Not confirmed
+  name: hwloc-CUDA
+  offers:
+    '@type': Offer
+    price: 0
+  operatingSystem: LINUX
+  review:
+    '@type': Review
+    author:
+      '@type': Organization
+      name: EESSI
+    reviewBody: Application has been successfully made available on all architectures
+      supported by EESSI
+    reviewRating:
+      '@type': Rating
+      ratingValue: 5
+  softwareRequirements: See https://www.eessi.io/docs/ for how to make EESSI available
+    on your system
+  softwareVersion: '[''2.12.1'', ''2.11.2'']'
+  url: https://www.open-mpi.org/projects/hwloc/
+---
+# hwloc-CUDA
+
+
+
+ The Portable Hardware Locality (hwloc) software package provides a portable
+ abstraction (across OS, versions, architectures, ...) of the hierarchical
+ topology of modern architectures, including NUMA memory nodes, sockets, shared
+ caches, cores and simultaneous multithreading. It also gathers various system
+ attributes such as cache and memory information as well as the locality of I/O
+ devices such as network interfaces, InfiniBand HCAs or GPUs. It primarily
+ aims at helping applications with gathering information about modern computing
+ hardware so as to exploit it accordingly and efficiently.
+
+ This provides the CUDA and NVML plugins for hwloc
+
+
+<small>homepage: </small><span class="software-link">[https://www.open-mpi.org/projects/hwloc/](https://www.open-mpi.org/projects/hwloc/)</span>
+
+## Available installations
+
+
+|hwloc-CUDA version|Supported CPU targets|Supported GPU targets|EESSI version|Module|
+| --- | --- | --- | --- | --- |
+|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`|
+|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

@@ -215,7 +215,7 @@ extra:
     - icon: fontawesome/brands/twitter
       link: https://twitter.com/eessi_hpc
   # this gets auto-updated via update_generated_time.sh script run in update_available_software.yml action
-  generated_time: "Mon, 15 Jun 2026 at 04:51:42 UTC"
+  generated_time: "Wed, 17 Jun 2026 at 15:43:26 UTC"
   slack_invite_url: "https://join.slack.com/t/eessi-hpc/shared_invite/zt-2wg10p26d-m_CnRB89xQq3zk9qxf1k3g"
 extra_javascript:
   # mermaid diagram