Information for build libxsmm-1.16-1.ocs23
| ID | 7982 | ||||||||||||||||||
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| Package Name | libxsmm | ||||||||||||||||||
| Version | 1.16 | ||||||||||||||||||
| Release | 1.ocs23 | ||||||||||||||||||
| Epoch | |||||||||||||||||||
| Source | git+https://gitee.com/opencloudos-stream/libxsmm.git?.#03e78eb2974faa6f1e9d7b62bca35da153290eda | ||||||||||||||||||
| Summary | Small dense or sparse matrix multiplications and convolutions for x86_64 | ||||||||||||||||||
| Description | LIBXSMM is a library for small dense and small sparse matrix-matrix multiplications, as well as for deep learning primitives such as small convolutions targeting Intel Architecture (x86). The library generates code for the following instruction set extensions: Intel SSE, Intel AVX, Intel AVX2, IMCI (KNCni) for Intel Xeon Phi coprocessors ("KNC"), and Intel AVX‑512 as found in the Intel Xeon Phi processor family ("KNL") and future Intel Xeon processors. Small convolutions are currently only optimized for Intel AVX‑512. Historically the library was solely targeting the Intel Many Integrated Core Architecture "MIC") using intrinsic functions. Currently, optimized assembly code targets all aforementioned instruction set extensions (static code generation), and Just‑In‑Time (JIT) code generation targets Intel AVX and beyond. | ||||||||||||||||||
| Built by | fanjunkong | ||||||||||||||||||
| State | complete | ||||||||||||||||||
| Volume | DEFAULT | ||||||||||||||||||
| Started | Wed, 08 May 2024 17:32:31 CST | ||||||||||||||||||
| Completed | Wed, 08 May 2024 17:43:44 CST | ||||||||||||||||||
| Task | build (dist-ocs23-epol9, /opencloudos-stream/libxsmm.git:.:origin/master) | ||||||||||||||||||
| Extra | {'source': {'original_url': 'git+https://gitee.com/opencloudos-stream/libxsmm.git?.#origin/master'}} | ||||||||||||||||||
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| Changelog | * Fri Apr 12 2024 OpenCloudOS Release Engineering <releng@opencloudos.tech> - 1.16-1 - initial build |
