| Name: | libxsmm |
|---|---|
| Version: | 1.14 |
| Release: | 1.el8 |
| Architecture: | x86_64 |
| Group: | Unspecified |
| Size: | 4418129 |
| License: | BSD |
| RPM: | libxsmm-1.14-1.el8.x86_64.rpm |
| Source RPM: | libxsmm-1.14-1.el8.src.rpm |
| Build Date: | Wed Nov 27 2019 |
| Build Host: | jenkins-10-147-72-125-bac5542f-61c6-401e-b77d-0b3f5c5c5425.appad1iad.osdevelopmeniad.oraclevcn.com |
| Vendor: | Oracle America |
| URL: | https://github.com/hfp/libxsmm |
| 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. |
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- Use python2 exlicitly in scripts - Use single thread in %check to fix FTBFS - Use ldconfig_scriptlets - Don't define LDFLAGS