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Maximize TensorFlow* Performance on CPU: Considerations and Recommendations for Inference Workloads

This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
Authored by Nathan Greeneltch (Intel) Last updated on 07/31/2019 - 12:11
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Modernizing Software with Future-Proof Code Optimizations

by Henry A. Gabb, Sr. Principal Engineer, Intel Software and Services Group

Authored by Henry Gabb (Intel) Last updated on 07/06/2019 - 17:10
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Thread Parallelism in Cython*

Cython* is a superset of Python* that additionally supports C functions and C types on variable and class attributes. Cython generates C extension modules, which can be used by the main Python program using the import statement.
Authored by Nguyen, Loc Q (Intel) Last updated on 07/06/2019 - 16:30
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Unleash the Parallel Performance of Python* Programs

[updated 10/5/2018]

Authored by Anton Malakhov (Intel) Last updated on 10/05/2018 - 18:24
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Ways to Speed up your Cloud Environment and Workload Performance on Intel® Architecture

Setting up a cloud environment is complicated, and it involves multiple elements such as database, network infrastructure, security, etc., (depending on the need).  How do you increase the p

Authored by Thai Le (Intel) Last updated on 07/04/2019 - 17:05
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Optimization Practice of Deep Learning Inference Deployment on Intel® Processors

Optimize performance of inference service on CPUs and save computing resources using the iQIYI deep learning cloud platform
Authored by admin Last updated on 02/20/2019 - 16:55
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Cells in the Cloud: Scaling a Biological Simulator to the Cloud

Hello, fellow developers! I am Konstantinos, and I currently work at CERN as a research intern for this summer.

Authored by Konstantinos Kanellis Last updated on 12/12/2018 - 18:00
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Test Drive New Features in Intel® System Studio 2019

Authored by Jeffrey R. (Intel) Last updated on 08/07/2019 - 20:07
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Transform Enterprise, HPC & AI, Accelerate Parallel Code

Authored by admin Last updated on 07/06/2019 - 16:15