Using unevaluated sums of paired or quadrupled single-precision (f32) values, double-float (df64) and quad-float (qf128) numeric types can be implemented on current GPUs and used efficiently and effectively for extended-precision computation for real and complex arithmetic. These numeric types provide 48 and 96 bits of precision respectively at f32 exponent ranges for computer graphics and general purpose (GPGPU) programming. Double- and quad-floats may be useful not only for extending available precision but also for accurate computation by only partially IEEE compliant single-precision floats. The poster and demos presented at ACM SIGGRAPH 06 discussed the implementation and application of these numbers in the Cg language for real and complex GPU programming. The df64 library includes math routines for exponential, log, and trigonometric functions. The poster can be downloaded from Andrew Thall’s website.  Technical details will be available shortly, and the code itself will be made available for distribution given sufficient interest.