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Vyper:
Is this of any use nowadays to Seti@Home:

"The CUFFT Library
=================

The Fast Fourier Transform (FFT) is a divide-and-conquer algorithm
for efficiently computing discrete Fourier transforms of complex or
real-valued data sets. The FFT is one of the most important and widely
used numerical algorithms, with applications that include
computational physics and general signal processing. This document
describes CUFFT, the "cuda" (Compute-Unified Device Architecture) FFT library. The
CUFFT library provides a simple interface for computing parallel Fast
Fourier Transforms on an NVIDIA GPU. This allows users to leverage
the floating-point power and parallelism of the GPU without having to
develop a custom, GPU-based FFT implementation.

FFT libraries typically vary in terms of supported transform sizes and
data types. For example, some libraries only implement Radix-2 FFTs,
restricting the transform size to a power of two, while other
implementations support arbitrary transform sizes. This version of the
CUFFT library supports the following features:

- 1D, 2D, and 3D transforms of complex and real-valued data.
- Batch execution for doing multiple 1D transforms in parallel.
- 2D and 3D transform sizes in the range [2, 16384] in any dimension.
- 1D transform sizes up to 8 million elements.
- In-place and Out-of-place transforms for real and complex data."

//Vyper

Josef W. Segur:

--- Quote ---- 1D transform sizes up to 8 million elements.
--- End quote ---

That's good, it now covers the size range needed. In earlier versions 1d had the same limitation as the 2d and 3d transforms.
                                                                                            Joe

Vyper:
Thats REALLY splendid news, now the only thing we need is someone that can develop a Cuda client!! DevasteR! Someone,, cmon :) I suck at this dep.

//Vyper

_heinz:
I read the new documentation from NVIDIA.
Its really great......maybe I can help, but at first I must end the optimized sources and study the CUDA Compiler and its stuff.
I can no make a promise.

Is the CUDA Compiler free for evaluation ??

Plan to buy a new Nvidia  maybe a XFX 7900GS 256MB AGP. At the moment I´m waiting since a week  on my ordered 22"  multisync TFT Display from LG.

regards seti_britta  ;)

Vyper:
Hey cool news indeed, DevasteR himself is doing a general GPU app for himself but i endorse someone too to make a Nvidia 8x generic GPU client..

You will need atleast a 8xxx based graphics card to accomplish that atm..

And yes CUDA is now free of eval.. and the API is highly understandable through documents and occupancy calculators and so on their website.

Me myself own a 8800GTX and therefor i can betatest in the highest mode available in a x64 platform atm..

Hope you will try to make a CUDA api, FFT transform is now accesible up to 8M instead of 16384 bytes as in CUDA 0.8 series..

Kind Regards Vyper

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