CULA ... Runtime error (4)

[psillymathhead]

[psillymathhead]

[psillymathhead]

[dan]

[psillymathhead]

[psillymathhead]

[psillymathhead]

[psillymathhead]

My advisor and I believe this to be a hardware problem, after memtest detected some problems with device 1 of the gtx295. Hopefully a new unit will play nice with CULA. Will post success/fail when new unit is installed and tested.

[kyle]

[psillymathhead]

yes, I am aware. Perhaps I was not specific enough. CULA fails if we simply use a CULA function, or if we use particular side of device by manual selection and call a CULA functions...

My guess is it was in general defaulting to device half which was broken. Honestly, I am just hoping that everything plays nice when we get another unit.

We don't need to parallelize CULA functions across multi-devices, more likely we will use the various devices to simultaneously process different matrices using culaSelectDevice.

Just for curiosity since we have this hardware and like speedtesting, can geev be run in parallel across the two devices??

In any case, I expect CULA to work simultaneously with both halves of NVIVIDA's top of the line graphics card for two separate matrices.. Right now I am chalking up to hardware failure, and if thats the case I will gladly post success in due time... in general we are greatly enjoying CULA tools, but I wish the documentation for troubleshooting and the Device/Error routines was a little better.

Thanks much :)

[kyle]

Yes, you could run two independent GEEV simultaneously on each "device".

It's also worth noting that, despite the large number, the GTX 295 is not the "top of the line" NVIDIA card. It's two mid-range GPU on one PCB. In the world of graphics this is a nice solution because SLI rendering is a seamless parallelization of raster graphics. For the computation world, the GTX 285 has the top GFLOP processing power (excluding the new 400-series).

Either way, let us know how your parallelization efforts go!