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conda-forge.org : libxsmm
LIBXSMM is a library for specialized dense and sparse matrix operations as well as for deep learning primitives such as small convolutions targeting Intel Architecture.
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Source
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purl: pkg:conda/libxsmm
Keywords: amx, avx, avx2, avx512, bfloat16, blas, convolution, fortran, intel, jit, machine-learning, matrix, matrix-multiplication, simd, sparse, sse, tensor, transpose, vector
License: BSD-3-Clause
Latest release: over 2 years ago
First release: over 4 years ago
Dependent packages: 1
Stars: 710 on GitHub
Forks: 174 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 7 days ago