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Case Study: Optimized Code for Neural Cell Simulations

One of the Intel® Modern Code Developer Challenge winners, Daniel Falguera, describes many of the optimizations he implemented and why some didn't work.
作者: 最后更新时间: 2019/07/06 - 16:40
博客

Can You Write a Vectorized Reduction Operation?

I can. And if you read this post you will also be able to write one, too. (Might be a cool party trick or a sucker bet to make a little cash.)
作者: Clay B. (Blackbelt) 最后更新时间: 2018/12/12 - 18:08
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Caffe* Optimized for Intel® Architecture: Applying Modern Code Techniques

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.
作者: 最后更新时间: 2019/07/06 - 16:40
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Improve Vectorization Performance with Intel® AVX-512

See how the new Intel® Advanced Vector Extensions 512CD and the Intel AVX512F subsets (available in the Intel® Xeon Phi processor and in future Intel Xeon processors) lets the compiler automatically generate vector code with no changes to the code.
作者: Alberto V. (Intel) 最后更新时间: 2019/07/08 - 19:26
Article

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.
作者: Nguyen, Loc Q (Intel) 最后更新时间: 2019/07/06 - 16:30
博客

Big Datasets from Small Experiments

作者: Andrey Vladimirov 最后更新时间: 2019/07/04 - 18:46
博客

Brain Development Simulation, 300x Faster

作者: Andrey Vladimirov 最后更新时间: 2019/07/04 - 17:45
Article

Accelerating Financial Applications on Intel® architecture

Learn more about an in-depth analysis of code modernization performance conducted by optimizing original CPU code and re-running tests on the latest GPU/CPU hardware.
作者: George Raskulinec (Intel) 最后更新时间: 2019/09/03 - 07:55