Using gpu's for accelerating computations

GNU Radio
1

Hi all,

Has any body tried porting the compute intensive portions to GPU’s.
The task apparantly is ideal for GPU’s to digest. I know that GPGPU
is, as yet, more research and less apps area, but I feel that it will
be valuable addition.

–
Rohit G.

2

On Friday 15 June 2007 04:52, Rohit G. wrote:

Has any body tried porting the compute intensive portions to GPU’s.
The task apparantly is ideal for GPU’s to digest. I know that GPGPU
is, as yet, more research and less apps area, but I feel that it will
be valuable addition.

http://www.google.com/search?q=gnuradio+gpu&ie=UTF-8&oe=UTF-8

:slight_smile:

3

Daniel O’Connor wrote:

On Friday 15 June 2007 04:52, Rohit G. wrote:

Has any body tried porting the compute intensive portions to GPU’s.
The task apparantly is ideal for GPU’s to digest. I know that GPGPU
is, as yet, more research and less apps area, but I feel that it will
be valuable addition.
Yes I have done so a whila ago.

I ported some FIR filters to the GPU.
The results were somewhat promising but not very good.
I got about 500 Mtaps/sec on a nvidia 5700LE after tuning the memory
access patterns.

memory bandwidth and AGP/PCI-E bandwidth are the main issues.

Another issue is that gnuradio data is 1-dimensional.
GPU’s do very well in 2-dimensional data but you have to jump a lot of
loopholes to get 1-dimensional data to work en perform well.
(The cache in a GPU is also 2-dimensional)

With nvidia CUDA and/or ATI CTM and recent hardware results should
probably be much better for FIR filters and things like that.

Blocks that work with a loopback (like IIR, PLLs) will never work well
on a GPU because you cannot parralellize the algorithm.

Greetings,
Martin