The CG Tutorial: The Definitive Guide to Programmable Real-Time Graphics

By Randima Fernando, M. Kilgard. 2003

411 citations recorded by the source corpus.

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CUDA Compatible GPU as an Efficient Hardware Accelerator for AES Cryptography (2007, background): “3. THE GRAPHICSPROGRAMMING UNIT 3 .1.Thetraditional GPU programming model”
A SWOT Analysis of the Field of Virtual Reality Rehabilitation and Therapy (2005, background): “Such graphics processing units (GPUs) are now programmable and thus pixel-and texel-specific computations can be customized for enhanced realism and real-time performance (Fernando & Kilgard, 2003).”
GPU accelerated Monte Carlo simulation of the 2D and 3D Ising model (2009, methodology): “In the beginning of general purpose computing on graphics processing units, GPU programs had to use C-like programming environments for kernel execution such as the OpenGL shading language [22] or C for graphics (Cg) [23].”
Game On, Science - How Video Game Technology May Help Biologists Tackle Visualization Challenges (2013, methodology): “This is possible employing optimized Cg functions [11], dedicated for Nvidia graphics cards, or GLSL (OpenGL Shading Language) code, a more universal language, which can be used on all recent graphics cards as well as on mobile devices [12].”