19 lines
1.1 KiB
Text
19 lines
1.1 KiB
Text
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LIBXSMM is a library for specialized dense and sparse matrix operations as well
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as for deep learning primitives such as small convolutions targeting Intel
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Architecture. Small matrix multiplication kernels (SMMs) are generated for Intel
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SSE, Intel AVX, Intel AVX2, IMCI (KNCni) for Intel Xeon Phi coprocessors (KNC),
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and Intel AVX-512 as found in the Intel Xeon Phi processor family (KNL, KNM) and
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Intel Xeon processors (SKX). Highly optimized code for small convolutions is
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targeting Intel AVX2 and Intel AVX-512, whereas other targets can automatically
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leverage specialized SMMs to perform convolutions.
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The library supports statically generated code at configuration time (SMMs),
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uses optimized code paths based on compiler-generated code as well as Intrinsic
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functions, but mainly utilizes Just-In-Time (JIT) code specialization for
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compiler-independent performance (matrix multiplications, matrix transpose/copy,
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sparse functionality, and small convolutions). LIBXSMM is suitable for "build
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once and deploy everywhere" i.e., no special target flags are needed to exploit
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the available performance.
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WWW: https://github.com/hfp/libxsmm
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