| Index | index by Group | index by Distribution | index by Vendor | index by creation date | index by Name | Mirrors | Help | Search |
| Name: libxsmm | Distribution: Fedora Project |
| Version: 2.1.0 | Vendor: Fedora Project |
| Release: 4.fc46 | Build date: Tue Sep 22 11:12:09 2026 |
| Group: Unspecified | Build host: buildvm-ppc64le-19.rdu3.fedoraproject.org |
| Size: 2182843 | Source RPM: libxsmm-2.1.0-4.fc46.src.rpm |
| Packager: Fedora Project | |
| Url: https://github.com/libxsmm/libxsmm | |
| Summary: Small dense or sparse matrix multiplications and convolutions for x86_64 | |
LIBXSMM is high performance library for small dense and sparse linear algebra opertions incl. GEMM and elementwise primities often seen in deep learning applications. It also serves as reference implementation of Tensor Processing Primitives (TPP), a programming abstraction for efficient and portable deep learning and HPC workloads. With version 2.0, LIBXSMM focuses on providing a complete and architecture-portable set of TPPs (small dense and sparse matrix operations as well as element-wise, GEMM, and BRGEMM primitives) from which higher-level operators such as convolutions, fully-connected layers, normalization, and pooling are composed. LIBXSMM targets Intel Architecture with Intel SSE, Intel AVX, Intel AVX2, Intel AVX-512 (with VNNI and Bfloat16), and Intel AMX (Advanced Matrix Extensions), AArch64 (NEON, SVE, and SME), RISC-V (RVV), and PowerPC 64-bit little-endian (POWER10 with VSX and MMA). Code generation is mainly based on Just-In-Time (JIT) code specialization for compiler-independent performance (matrix multiplications, matrix transpose/copy, sparse functionality, and tensor primitives). LIBXSMM is suitable for "build once and deploy everywhere", i.e., no special target flags are needed to exploit the available performance. Supported GEMM datatypes are: FP64, FP32, FP16, bfloat16, BF8, HF8, MXBF8, MXHF8, int16, int8, MXBF6, MXHF6, MXFP4, int4, int2 and int1. Additionally, various non-standard low precision combinations are supported.
BSD-3-Clause
* Tue Sep 22 2026 SY Wang <uwsy1059@qq.com> - 2.1.0-4 - Switch to %autorelease * Tue Sep 22 2026 SY Wang <uwsy1059@qq.com> - 2.1.0-3 - Add .packit.yaml * Wed Jul 29 2026 SY Wang <uwsy1059@qq.com> - 2.1.0-1 - Update to 2.1.0 (rhbz#2512898) - Add support for aarch64, ppc64le, and RISC-V - Build libxsmm with CMake * Thu Jul 16 2026 Fedora Release Engineering <releng@fedoraproject.org> - 1.17-9 - Rebuilt for https://fedoraproject.org/wiki/Fedora_45_Mass_Rebuild * Fri Jan 16 2026 Fedora Release Engineering <releng@fedoraproject.org> - 1.17-8 - Rebuilt for https://fedoraproject.org/wiki/Fedora_44_Mass_Rebuild * Thu Jul 24 2025 Fedora Release Engineering <releng@fedoraproject.org> - 1.17-7 - Rebuilt for https://fedoraproject.org/wiki/Fedora_43_Mass_Rebuild * Sun Jan 26 2025 Dave Love <loveshack@fedoraproject.org> - 1.17-6 - Fix FTBFS with gcc 15 (#2340767) - Remove el7 support * Fri Jan 17 2025 Fedora Release Engineering <releng@fedoraproject.org> - 1.17-5 - Rebuilt for https://fedoraproject.org/wiki/Fedora_42_Mass_Rebuild
/usr/lib/.build-id /usr/lib/.build-id/05 /usr/lib/.build-id/05/cf5f4e687946a6d8b56fc1b51a212658c1b958 /usr/lib/.build-id/38 /usr/lib/.build-id/38/7cec8dc7e136a4f1db58e763955efe29ff7a77 /usr/lib64/libxsmm.so.2 /usr/lib64/libxsmm.so.2.1.0 /usr/lib64/libxsmmf.so.2 /usr/lib64/libxsmmf.so.2.1.0 /usr/share/licenses/libxsmm /usr/share/licenses/libxsmm/LICENSE.md
Generated by rpm2html 1.8.1
Fabrice Bellet, Thu Sep 24 02:06:00 2026