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This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
Autor Última actualización 15/10/2019 - 16:50
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Intel® Intelligent Storage Acceleration Library: Cryptographic Hashes for Cloud Storage

Storage efficiency technologies like compression and deduplication with rapid generation of cryptographic hashes are available now via the Intel® Intelligent Storage Acceleration Library (Intel® ISA-L). Code sample illustrates how to use this powerful feature.
Autor Thai Le (Intel) Última actualización 15/10/2019 - 17:00
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Vectorizing Loops with Calls to User-Defined External Functions

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Autor Anoop M. (Intel) Última actualización 12/03/2020 - 23:40
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Optimizing Big Data processing with Haswell 256-bit Integer SIMD instructions

Big Data requires processing huge amounts of data. Intel Advanced Vector Extensions 2 (aka AVX2) promoted most Intel AVX 128-bits integer SIMD instruction sets to 256-bits.

Autor gaston-hillar (Blackbelt) Última actualización 25/03/2020 - 15:38