Information about Intel® Integrated Performance Primitives (Intel® IPP) memory functions
How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
This article helps developers ensure their C/C++ code with intrinsics produces the optimal assembly and shows how to spot unnecessary register spilling.
Threading Intel® Integrated Performance Primitives Image Resize with Intel® Threading Building BlocksThreading Intel® IPP Image Resize with Intel® TBB.pdf (157.18 KB) :
This algorithm can be used to improve sparse matrix-vector and matrix-matrix multiplication in any numerical computation. As we know, there are lots of applications involving semi-sparse matrix computation in High Performance Computing. Additionally, in popular perceptual computing low-level engines, especially speech and facial recognition, semi-sparse matrices are found to be very common....
This page contains common questions and answers on multi-threading in the Intel IPP.
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.
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.