Фильтры

Блоги

Brain Development Simulation, 300x Faster

Автор: Andrey Vladimirov Последнее обновление: 04.07.2019 - 17:45
Article

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.
Автор: Последнее обновление: 15.10.2019 - 15:30
Article

面向英特尔® 架构优化的 Caffe*:使用现代代码技巧

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.
Автор: Последнее обновление: 15.10.2019 - 16:50
Article

Building FreeFEM++ with Intel® Software Tools for Developers

FreeFEM++ is a package that targeted for researchers who needs a powerful tool for solving partial differential equations.

Автор: Dmitry S. (Intel) Последнее обновление: 15.10.2019 - 21:24
Блоги

GCC x86 Performance Hints

      People say that GCC (GNU Compiler Collection) cannot generate effective code compared to other proprietary compilers. Is it a myth or reality?

Автор: Evgeny Stupachenko (Intel) Последнее обновление: 15.11.2019 - 14:10