On Tue 13 Jun 06, 10:20 AM, Richard Harke <[EMAIL PROTECTED]> said: > On Tue June 13 2006 08:44, Peter Jay Salzman wrote: > > I recently read some papers where people performed an FFT on Nvidia > > hardware. The idea is that a GPU is capable of performing certain types of > > operations very quickly, faster than a CPU. > > > > Has anyone looked into this? I've seen one project port FFTW to be > > a GPU-enhanced FFTW. > > > > Any idea on what it would take to write a "hello world" type program where > > 1 + 1 is thrown onto a GPU and the result is returned to a local variable? > > > Why don't you look at www.gpgpu.org > GPGPU -> General Purpose computing on a GPU > > Richard Harke Thanks, Richard. Good find! I think you do numerical computing as well -- have you done any of this? I've seen GPU implementations for solving sparse and dense linear systems -- which is, essentially, solving partial differential equations using implicit discretization methods. You do this in your own work, don't you?
In my own work with finance, I'd be interested in the FFT, high performance sorting and database work (which I just found in that link you mentioned!) I've also been thinking of extending my dissertation work, solving the Schrodinger-Newton PDE in 2 and 3 dimensions. I'm not entirely sure why, but every paper I've read on the subject, so far, uses NVidia hardware. Need to do more reading to find out why... Pete _______________________________________________ vox-tech mailing list [email protected] http://lists.lugod.org/mailman/listinfo/vox-tech
