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15 lines
862 B
Text
15 lines
862 B
Text
LIBXSMM is a library for specialized dense and sparse matrix
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operations as well as for deep learning primitives such as small
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convolutions. The library is targeting Intel Architecture with
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Intel SSE, Intel AVX, Intel AVX2, Intel AVX512 (with VNNI and
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Bfloat16), and Intel AMX (Advanced Matrix Extensions) supported by
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future Intel processor code-named Sapphire Rapids. Code generation
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is mainly based on Just-In-Time (JIT) code specialization for
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compiler-independent performance (matrix multiplications, matrix
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transpose/copy, sparse functionality, and deep learning).
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LIBXSMM is suitable for "build once and deploy everywhere",
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i.e., no special target flags are needed to exploit the available
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performance. Supported GEMM datatypes are: FP64, FP32, bfloat16,
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int16, and int8.
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NOTE: the library does not support 32-bit architecture (64-bit only)
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