Ubuntu
stdgpu package

stdgpu 1.3.0+git20220507.32e0517-5 source package in Ubuntu

Changelog

stdgpu (1.3.0+git20220507.32e0517-5) unstable; urgency=medium

  * Fix wrong alignment test to actually provoke wrong alignment

 -- Timo Röhling <email address hidden>  Sat, 01 Jul 2023 23:13:20 +0200

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Uploaded by:
Timo Röhling
Uploaded to:
Sid
Original maintainer:
Timo Röhling
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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stdgpu_1.3.0+git20220507.32e0517-5.dsc 2.6 KiB 5d64471c3c1c22552b3543db5f6b3a1f84d09d1a0d4a76e3702cd758355e857c
stdgpu_1.3.0+git20220507.32e0517.orig.tar.gz 262.6 KiB f5c8ed141446f367513738184ba477b2cadc51810f1de818c3017a5a7bab5af9
stdgpu_1.3.0+git20220507.32e0517-5.debian.tar.xz 11.8 KiB de0400091a2589348b07c8c9c9956646f69a070d1dc064f894c2ea1d8c9e0f2e

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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-openmp0d: 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-openmp0d-dbgsym: debug symbols for libstdgpu-openmp0d