Intel® MKL with NumPy, SciPy, MATLAB, C#, Python, NAG and More

The following article explains on using Intel® MKL with NumPy/SciPy, Matlab, C#, Java, Python, NAG, Gromacs, Gnu Octave, PETSc, HPL, HPCC, IMSL etc.
作者: Gennady F. (Blackbelt) 最后更新时间: 2019/06/23 - 18:50

Transitioning from Valgrind* Tools to Intel® Inspector

The open source Valgrind* framework supports several tools for checking the memory and threading correctness of your code.

作者: 最后更新时间: 2019/06/23 - 18:50

Archived - Intel® RealSense™ made easy with SharpSenses

The Intel® RealSense™ SDK has been discontinued. No ongoing support or updates will be available.

作者: Andre Carlucci (Blackbelt) 最后更新时间: 2019/06/23 - 18:50

Intel® Facial Special Effects Filter

Intel® Facial Special Effects Filter allows camera pipeline to apply different adjustment effects to the video
作者: Ryan T H. (Intel) 最后更新时间: 2019/01/18 - 16:30

Caffe* Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
作者: Gennady F. (Blackbelt) 最后更新时间: 2019/10/15 - 16:50