GPU Detect is a short graphics code sample demonstrates a way to detect the primary graphics hardware present in a system (including the 6th Generation Intel® Core™ processor family).
The fundamental shift in processor performance from clock speed to multi-cpu means game designs must evolve to effectively utilize the available processor cycles. This article discusses key features of the Intel® Core™ i7 processor for game development.
Project Newton includes the connection of all main platforms (Intel® Core™ processor, Intel® Centrino* processor technology, Intel® Atom™ processor, ARM* mobile platforms) and all IoT platforms (Intel® Edison board, Intel® Galileo board, Raspberry*, Spark*, Mbed*, Freescale*, Arduino Uno*, etc.). Thus, Project Newton can connect platforms running all current mainstream OSs (Windows*, Linux*,...
This is an exercise in performance optimization on heterogeneous Intel architecture systems based on multi-core processors and manycore (MIC) coprocessors.
Intel CPU已经自带集成显卡，软件通过Intel MSDK能够开启硬件的编解码加速功能。下表根据市场上的主流CPU（i3/i5/i7）绘制了一张编解码的实际硬件能力参考图，便于CODEC开发人员参考。
The Intel® Joule™ module is the newest addition to a line of powerful, multi-purpose development boards from Intel. This small package contains an Atom™ quad-core processor, clocked at an impressive 1.7 GHz, 4 gigabytes of LPDDR4 RAM, Dual band Wi-Fi antenna, Bluetooth®, and an Intel® HD Graphics Processing Unit.
Optimizing graphics for Intel® Core™ processors as well as Intel® Atom™ processors is rapidly becoming a strategic imperative for game developers. This article describes how Funcom developed LEGO* Minifigures Online (LMO)to provide exceptional graphical experiences and improved battery life on both platforms.
The Intel® PCLMULQDQ instruction is a new instruction available beginning with the Intel® Core™ processor family. The PCLMULQDQ instruction performs a carry-less multiplication of two 64-bit operands.
Caffe* is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC). Caffe optimized for Intel architecture is currently integrated with the latest release of Intel® Math Kernel Library (Intel® MKL) 2017 optimized for Advanced Vector Extensions (AVX)-2 and AVX-512 instructions which are supported in Intel® Xeon® and Intel® Xeon Phi™ processors (among others). This...
This tutorial shows how to install Offload over Fabric (OoF) software on 2nd generation Intel® Xeon Phi™ processor, configure the hardware, test the basic configuration, and enable OoF