DL Boost
http://dbpedia.org/resource/DL_Boost
Intel's Deep Learning Boost (DL Boost) is a marketing name for instruction set architecture features on the x86-64 designed to improve performance on deep learning tasks such as training and inference. DL Boost consists of two sets of features:
* AVX-512 VNNI, 4VNNIW, or AVX-VNNI: fast multiply-accumulation mainly for convolutional neural networks.
* AVX-512 BF16: lower-precision bfloat16 floating-point numbers for generally faster computation. Operations provided include conversion to/from float32 and dot product. DL Boost features were introduced in the Cascade Lake architecture.
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DL Boost
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67200581
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1096671713
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Intel's Deep Learning Boost (DL Boost) is a marketing name for instruction set architecture features on the x86-64 designed to improve performance on deep learning tasks such as training and inference. DL Boost consists of two sets of features:
* AVX-512 VNNI, 4VNNIW, or AVX-VNNI: fast multiply-accumulation mainly for convolutional neural networks.
* AVX-512 BF16: lower-precision bfloat16 floating-point numbers for generally faster computation. Operations provided include conversion to/from float32 and dot product. DL Boost features were introduced in the Cascade Lake architecture. A TensorFlow-based benchmark run on the Google Cloud Platform Compute Engine shows improved performance and reduced cost compared to previous CPUs and to GPUs, especially for small batch sizes.
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2085