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.
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.
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.