by Dean Macri
visual computing
Welcome from Pete Baker
The Second Generation Intel® Core™ family of processors dramatically raises the mainstream performance bar for games. We want to ensure your games look and run their best. We have assembled key information that can help you optimize your games.
Maximizing Performance with Fine-Grained Parallelism
Implementing functional decomposition in games to get the most performance from the processor
By Andrew Binstock
Benefits of Intel® Advanced Vector Extensions For Quaternion Spherical Linear Interpolation (Slerp)
Intel® AVX is a 256 bit instruction set extension to Intel® SSE and is designed for floating point intensive applications. This article examines how Intel® AVX micro architecture features benefit Spherical Linear Interpolation (SLERP) opserations.
Intel @ GDC 2008

View our GDC 2009 Sessions
2008 Sessions:
Intel at Game Developer Conference 2009
Read all about Intel at the Game Developers Conference, held twice a year - once in San Francisco and once in Austin, TX.
Lizenzvertrag:
Section 8: Prejudice Case Study
This case study demonstrates how the performance of Section 8: Prejudice was increased 1.17x, from 24FPS to 28FPS on 2nd Generation Intel® Core™ processor family using the Intel® Graphics Performance Analyzers (GPA) on the game’s built-in benchmark scene.
"MAXIS*-mizing" Darkspore*: A Case Study of Graphic Analysis and Optimizations in Maxis’* Deferred Renderer
2nd Generation Intel® Core™ processors fundamentally changed the PC gaming landscape. Intel® GPA 4.0 provides full support for this next generation of processors. The Darkspore* team at Maxis used GPA to optimize their game for the new processor graphics.
Optimizations for MSC.Software SimXpert* using Intel® Threading Building Blocks (Intel® TBB)
MSC.Software SimXpert* is a fully integrated simulation environment for performing multidiscipline based analysis with a graphical interface designed to facilitate the end-to-end simulations. This article describes the threading of SimXpert.
Understanding Memory Access Characteristics of Motion Estimation Algorithms
Introduction
By Alex A. Lopez-Estrada
Applications Engineer, Intel Software and Solutions Group
