Name: | libxsmm |
---|---|
Version: | 1.6.1 |
Release: | 1.el7 |
Architecture: | x86_64 |
Group: | Unspecified |
Size: | 982330 |
License: | BSD |
RPM: | libxsmm-1.6.1-1.el7.x86_64.rpm |
Source RPM: | libxsmm-1.6.1-1.el7.src.rpm |
Build Date: | Fri Oct 27 2017 |
Build Host: | x86-ol7-builder-02.us.oracle.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. |
- New version - Some ABI incompatibility, but kept major sover as not made stable yet and in view of https://github.com/hfp/libxsmm/issues/120
- Remove -doc dependencies
- New version
- Clean samples .make files too - Use OMP build default - Define FCFLAGS, LDFLAGS
- New version, fixing interface bug - Spec fixes from review - Add samples to doc
- Don't install .mod file directly in _includedir - Don't build for ix86 - BR python
- Install with STATIC=0 - Avoid sse3 - Fix Fortran modules installation and %_fmoddir ownership
- Fix installation of libraries
- New version - Remove %check (run in %build)
- Drop devtoolset on el6 (not needed)