Intel® “Visual Adrenaline Fan Challenge” Contest Description The Intel® Visual Computing Developer Community has launched the Visual Adrenaline Fan Challenge contest for the San Francisco Game Developer Conference (GDC). This contest encourages attendees of the conference to visit the Intel booth and technical sessions and show proof of their visit using either Twitter*, Facebook*, or Four Square* applications. The contest starts March 11 (Thursday), 10 AM and continues up to March 13 (Saturday), 3 PM
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Legal Terms & Conditions – Intel® “Visual Adrenaline Fan Challenge”
Ticker Tape Ticker Tape is a tech demo that showcases complex particle movement using aerodynamic calculations such as lift and drag.
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TickerTape
Stay tuned for the list of prizes for Level Up 2010!
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Level Up 2010 Prizes
Introduction In recent years, the resolution of image sensors has increased significantly, but image processing algorithms have not improved in efficiency. The bottleneck for nearly all image processing algorithms is memory access, and access time increases significantly when image data resides outside the L2 cache
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Deferred Mode Image Processing Framework: Simple and efficient use of Intel® multi-core technology and many–core architectures with Intel® Integrated Performance Primitives
Executive Summary MSC.Software SimXpert * is a fully integrated simulation environment for performing multidiscipline based analysis.
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Optimizations for MSC.Software SimXpert* using Intel® Threading Building Blocks (Intel® TBB)
Problem : Relocation overflow errors at link time, with messages such as ” relocation truncated to fit ” Environment : Linux* for Intel64; the Intel C/C++ and Fortran Compilers; applications with > 2GB of global or static data. Root Cause : The default memory model for the Intel® Compiler for Intel64 Linux* is small (–mcmodel=small). This restricts both code and global or static data to the first 2 GB of address space and allows all accesses to be made with instruction pointer (IP)-relative addressing.
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Avoiding Relocation Errors when Building Applications with Large Global or Static Data on Intel64 Linux
Download PDF and Source Download Download Fluid Simulation for Video Games (part 6) [PDF 953KB] Download Fluid Simulation Source code [713KB] Differential Velocity Solvers This article, the sixth in a series, describes a radically different technique for computing velocity from vorticity, one of the cornerstones of the fluid simulation presented in these articles. The first article summarized fluid dynamics; the second surveyed fluid simulation techniques; and the third and fourth presented a vortex-particle fluid simulation with two-way fluid-body interactions that runs in real time.
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Fluid Simulation for Video Games (part 6)
Download Article Download Getting the Most from your Middleware [PDF 406KB] Download the demo source code [46KB] Oversubscription is bad for you Modern game development increasingly uses middleware products to stay within time and money budgets. This is a sensible approach, but it puts game developers at the mercy of middleware designers to ensure acceptable performance for key game functions. Knowing this, many middleware developers have begun to modify their products to enable parallel execution of middleware work
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Getting the Most from your Middleware
1 Introduction Intel® Advanced Vector Extensions (Intel® AVX) is a 256 bit instruction set extension to Intel® Streaming SIMD Extensions (Intel® SSE) and is designed for applications that are floating point intensive. These instructions provide a means to accelerate applications that rely heavily on floating-point operations, such as 3D geometry, video processing, image processing, and spatial (3D) audio. This application note discusses Wiener filtering , and includes an example of code that has been optimized using Intel® AVX
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Wiener Filtering Using Intel® Advanced Vector Extensions
