The Graphical processing unit is well suited in solving quantum mechanical equations because of the simplicity of it architecture.
http://quantumdynamics.wordpress.com/category/graphics-processing-units-gpu/ I start my series on the physics of GPU programming by a relatively simple example, which makes use of a mix of library calls and well-documented GPU kernels. The run-time of the split-step algorithm described here is about *280 seconds for the CPU version* (Intel(R) Xeon(R) CPU E5420 @ 2.50GHz), vs. 10 seconds for the GPU version (NVIDIA(R) Tesla C1060 GPU), resulting in 28 fold speed-up! *On a C2070 the run time is less than 5 seconds, yielding an 80 fold speedup.* The GPU is configurable into massive parallel supercomputers for scientific applications involving model simulations. *The turn-around time is incredibly fast. Compared to queues in conventional clusters where I wait for days or weeks, I get back results with 10000 CPU hours compute time the very same day. This in turn further facilitates the model-building process.* * * Cheers: Axil On Thu, Jul 19, 2012 at 3:11 PM, Jed Rothwell <jedrothw...@gmail.com> wrote: > Daniel Rocha <danieldi...@gmail.com> wrote: > > There is very important news here: NI is indeed taking LENR seriously. Not >> rumors anymore. > > > A nice set of slides, too. Maybe I should ask for a copy for LENR-CANR.org. > > By the way, in the slide titled "Our View Of The Computational Map" I had > to look up "GPU." That means "graphics processing unit." I think that is > similar to a CPU only more parallel. Some years ago I read about someone > making a desktop supercomputer with GPU chips. > > Not sure what RT-GPU means. Ray Trace? Real Time? Roaring Twenties? > > - Jed > >
