Fast matrix multiplies using graphics hardware
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
Microsoft DirectX 9 Programmable Graphics Pipeline
Microsoft DirectX 9 Programmable Graphics Pipeline
Linear algebra operators for GPU implementation of numerical algorithms
ACM SIGGRAPH 2003 Papers
Brook for GPUs: stream computing on graphics hardware
ACM SIGGRAPH 2004 Papers
GPU Gems 2: Programming Techniques for High-Performance Graphics and General-Purpose Computation (Gpu Gems)
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The authors use inexpensive personal computer graphics cards to perform the intensive image-processing computations done in a heat-seeking missile's tracking systems and thereby dramatically reduce the execution time of missile threat simulations used by military mission planners. Using an innovative processing algorithm, these calculations are accomplished up to 3.5 times faster in graphic cards versus using a conventional CPU. Through a combination of this and other software optimizations, simulation time was reduced by 33%.