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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.
Criado por Gennady F. (Blackbelt) Última atualização em 23/06/2019 - 18:50
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Open Manageability Developer Tool Kit

Criado por Ylian S. (Blackbelt) Última atualização em 30/01/2019 - 11:48
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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.

Criado por Última atualização em 23/06/2019 - 18:50
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Archived - Intel® RealSense™ made easy with SharpSenses

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

Criado por Andre Carlucci (Blackbelt) Última atualização em 23/06/2019 - 18:50
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See the world like a Terminator T-800: Augmented Reality with Oculus Rift*

The challenge
Criado por Martin Förtsch (Blackbelt) Última atualização em 09/05/2019 - 22:40
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The Core Software Strategy - 9 Years Old and Still True!

I can safely predict that if you are a developer, you are looking for ways to get your job done faster. Get working code quicker, find bugs faster, take advantage of new technologies and get working performance as smoothly as possible. This is why the saying "steal with pride" comes up --it's a well-worn technique to borrow or adopt code where you can. (Of course, I'm not saying you would commit...
Criado por David S. (Blackbelt) Última atualização em 23/06/2019 - 19:10
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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.
Criado por Gennady F. (Blackbelt) Última atualização em 05/07/2019 - 14:54
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基于英特尔® 至强™ 处理器 E5 产品家族的多节点分布式内存系统上的 Caffe* 培训

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.
Criado por Gennady F. (Blackbelt) Última atualização em 05/07/2019 - 14:55
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Intel® Facial Special Effects Filter

Intel® Facial Special Effects Filter allows camera pipeline to apply different adjustment effects to the video
Criado por Ryan T H. (Intel) Última atualização em 18/01/2019 - 16:30