CPU

Great Reads

C# - Fast Memory Copy Method with x86 Assembly Usage

by OKarpov

How to use ASM in C#.NET and most fast memory copy method

Deep-Learning AI on Low-Power Microcontrollers: MNIST Handwriting Recognition Using TensorFlow Lite Micro on Arm Cortex-M Devices

by Raphael Mun

In this article we’re going to build a fully functional MNIST handwriting recognition app using TensorFlow Lite to run our AI inference on a low-power STMicroelectronics microcontroller using an Arm Cortex M7-based processor

Discover How oneAPI Is Revolutionizing Programming

by Intel

It's not just between one architecture today and another architecture today, but the architectures of today and tomorrow. oneAPI has the potential to become the industry norm for compiling code for all kinds of architectures.

Efficient Heterogeneous Parallel Programming Using OpenMP

by Elmira Volkova, Alexander Bobyr, Igor Ermolaev

In this article, we divide the computation between the host CPU and a discrete Intel® GPU such that both processors are kept busy.

Latest Articles

C# - Fast Memory Copy Method with x86 Assembly Usage

by OKarpov

How to use ASM in C#.NET and most fast memory copy method

Deep-Learning AI on Low-Power Microcontrollers: MNIST Handwriting Recognition Using TensorFlow Lite Micro on Arm Cortex-M Devices

by Raphael Mun

Discover How oneAPI Is Revolutionizing Programming

by Intel

Efficient Heterogeneous Parallel Programming Using OpenMP

by Elmira Volkova, Alexander Bobyr, Igor Ermolaev

In this article, we divide the computation between the host CPU and a discrete Intel® GPU such that both processors are kept busy.

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CPU

Deep-Learning AI on Low-Power Microcontrollers: MNIST Handwriting Recognition Using TensorFlow Lite Micro on Arm Cortex-M Devices

by Raphael Mun

Discover How oneAPI Is Revolutionizing Programming

by Intel

Efficient Heterogeneous Parallel Programming Using OpenMP

by Elmira Volkova, Alexander Bobyr, Igor Ermolaev

In this article, we divide the computation between the host CPU and a discrete Intel® GPU such that both processors are kept busy.

High Performance Computer Graphics for Android Mobile Game Development Using Vulkan API

by Raphael Mun

In this article we briefly look at two examples of how to use Vulkan to maximize the graphics performance in your game.

MLAA: Efficiently Moving Anti-Aliasing from the GPU to the CPU

by Alexandre De Pereyra

Efficient anti-aliasing techniques are an important tool of high-quality, real-time rendering. A new Intel technique called Morphological Antialiasing (MLAA) addresses limitations of the standard technique, MSAA. This article discusses MLAA implementation. Includes code samples and free download.

New Threading Capabilities in Julia v1.3

by Intel

Julia's approach to multithreading combines many previously known ideas in a novel framework. While each in isolation is useful, we believe that―as is so often the case―the sum is greater than the parts.

Not built in a day - lessons learned on Total War: ROME II

by Paul Lindberg

This case study details how the game takes best advantage of low-power systems, while still scaling up to look and run fantastic on more robust systems.

Use oneAPI to Make Your C++ Application GPU Aware

by Jeremy C. Ong

Accelerate a C++ article with GPU support using Intel's oneAPI