stdgpu 1.3.0+git20220507.32e0517-6ubuntu3 source package in Ubuntu

Changelog

stdgpu (1.3.0+git20220507.32e0517-6ubuntu3) oracular; urgency=medium

  * Rebuild against new rocm-hipamd/arm64.

 -- Gianfranco Costamagna <email address hidden>  Sat, 03 Aug 2024 09:03:09 +0200

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Uploaded by:
Gianfranco Costamagna
Uploaded to:
Oracular
Original maintainer:
Timo Röhling
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Oracular release universe misc

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stdgpu_1.3.0+git20220507.32e0517.orig.tar.gz 262.6 KiB f5c8ed141446f367513738184ba477b2cadc51810f1de818c3017a5a7bab5af9
stdgpu_1.3.0+git20220507.32e0517-6ubuntu3.debian.tar.xz 12.3 KiB 837b25398c5470e3d235b378e5e3ba2fd4aafbfd569f702b4cf63c7073f33c92
stdgpu_1.3.0+git20220507.32e0517-6ubuntu3.dsc 2.7 KiB c080d815b193fafb38125cc65a14d5e8b56517bb444b6679e7031688486eb1d9

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Binary packages built by this source

libstdgpu-hip-dev: Efficient STL-like Data Structures on the GPU (HIP development headers)

 stdgpu is an open-source library providing several generic GPU data structures
 for fast and reliable data management. Multiple platforms such as CUDA,
 OpenMP, and HIP are supported allowing you to rapidly write highly complex
 agnostic and native algorithms that look like sequential CPU code but are
 executed in parallel on the GPU.
 .
 This package installs the development headers for the HIP version.

libstdgpu-hip0d: Efficient STL-like Data Structures on the GPU (HIP backend)

 stdgpu is an open-source library providing several generic GPU data structures
 for fast and reliable data management. Multiple platforms such as CUDA,
 OpenMP, and HIP are supported allowing you to rapidly write highly complex
 agnostic and native algorithms that look like sequential CPU code but are
 executed in parallel on the GPU.
 .
 This package installs the shared library that runs with HIP.

libstdgpu-hip0d-dbgsym: debug symbols for libstdgpu-hip0d
libstdgpu-openmp-dev: Efficient STL-like Data Structures on the GPU (OpenMP development headers)

 stdgpu is an open-source library providing several generic GPU data structures
 for fast and reliable data management. Multiple platforms such as CUDA,
 OpenMP, and HIP are supported allowing you to rapidly write highly complex
 agnostic and native algorithms that look like sequential CPU code but are
 executed in parallel on the GPU.
 .
 This package installs the development headers for the OpenMP version.

libstdgpu-openmp0t64: Efficient STL-like Data Structures on the GPU (OpenMP CPU backend)

 stdgpu is an open-source library providing several generic GPU data structures
 for fast and reliable data management. Multiple platforms such as CUDA,
 OpenMP, and HIP are supported allowing you to rapidly write highly complex
 agnostic and native algorithms that look like sequential CPU code but are
 executed in parallel on the GPU.
 .
 This package installs the shared library that runs on the CPU with OpenMP.

libstdgpu-openmp0t64-dbgsym: debug symbols for libstdgpu-openmp0t64