SIGGRAPH 2004 GPGPU COURSE
Abstract
The graphics processor (GPU) on today's commodity video cards has evolved into an extremely powerful and flexible processor. The latest graphics architectures provide tremendous memory bandwidth and computational horsepower, with fully programmable vertex and pixel processing units that support vector operations up to full IEEE floating point precision. High level languages have emerged for graphics hardware, making this computational power accessible. Architecturally, GPUs are highly parallel streaming processors optimized for vector operations, with both MIMD (vertex) and SIMD (pixel) pipelines. ......
http://www.gpgpu.org/s2004/
有以下内容的PPT下载:
Introduction
Mapping computational concepts to the GPU
Linear algebra
Sorting and searching
Database Operations
High-level languages
Debugging
Efficient data-parallel GPU programming
Data formatting and addressing
GPU computation strategies and tricks
Physically-based simulation on GPUs
Tone mapping on GPUs
Level sets on GPUs
Global Illumination on GPUs
Tools and Links