Awesome, thanks Andreas ! Indeed test_driver.py works perfectly now. test_gpuarray.py still fails 10 out of 23, are they the same reason ? [output attached if you want to have a look].
In any case, that means that the GPU is indeed working good, and that so does pyCUDA, then, thank you ! Have fun in SIAM meeting -- here, enjoying SAMSI Summer Workshop, where the possibilities of GPU to speed-up Bayesian analysis of Pharmacokinetics/Pharmacodynamics (PK/PD) data seem to have interested the PK/PD people, often bothered by the amount of time required by Monte-Carlo methods. Cheers, Julien On Fri, Jul 16, 2010 at 12:07 PM, Andreas Kloeckner <[email protected]> wrote: > Hi Julien, > > On Fri, 9 Jul 2010 21:16:36 -0700, Julien Cornebise > <[email protected]> wrote: >> New to pyCuda, and very excited by the possibilities, I'm >> unfortunately having a LaunchError problem with test_driver.py. I have >> tried to trace it down using printf() and such, and it seems that the >> last push over the cliff is in cuda.hpp >> context::prepare_context_switch(), line 505, a cuCtxPopCurrent returns >> CUDA_LAUNCH_FAILED -- although CUDA 3.1 Reference Manual p. 412 does >> not list it as a possible return but adds that it "may also return >> error codes from previous, asynchronous launches.", which I hence >> assume is the case. >> >> My rusted C/C++ skills do not allow me to go further, nor to be even >> sure that's the real problem. >> >> I'm using PyCUDA as checked out from git tonight, and Cuda 3.1 on >> Linux Ubuntu 10.04, with Python 2.6.5, and a brand new Geforce GTX >> 470. >> The GPU is fully functioning: I run all CUDA SDK's examples without a >> problem. >> I also run pyCUDA test_math.py with no problem. (20 passed) >> Attached is the output of running >> python test_driver.py &>> out >> with CUDA_TRACE = 1. >> >> That's how far I've been able to go by myself, so now I'm turning to >> you: any help much welcome, thank you ! :) > > Sorry for the late reply--at SIAM AN10 currently. (Btw Bryan: I'll be at > your talk later. Anyone else want to meet up?) > > This should be fixed in git--Fermi GPUs apparently minds misaligned > access, which was what one test in there was doing. > > HTH, > Andreas > > _______________________________________________ PyCUDA mailing list [email protected] http://lists.tiker.net/listinfo/pycuda
