Hi Joe, Is the code available online somewhere?
Regards, Benson On 9/12/15 7:00 PM, [email protected] wrote: > ---------------------------------------------------------------------- > > Message: 1 > Date: Fri, 11 Sep 2015 19:21:42 +0000 > From: Joe Haywood <[email protected]> > To: Pyopencl <[email protected]> > Subject: [PyOpenCL] Strange Behavior between systems > Message-ID: > > <8a98791d01fc474d9bf9d985bb3805d11ed72...@nodcmstmbx01.no.trinity-health.org> > > Content-Type: text/plain; charset="utf-8" > > Hi All, > > I have been converting my Monte Carlo code from cuda to Pyopencl and have run > into the following problem. I am working between two machines 1)Ubuntu 14.04 > machine with cuda 7.0 proprietary drivers and libraries, intel's most recent > opencl drivers, and amd's opencl drivers, Pyopencl from default Ubuntu repo > and 2) Windows 7 Ultimate with AMD SDK from about 2 years ago with > python(x,y) and the Pyopencl distributed with that also from about 2 years > ago. > > On the Ubuntu machine I have the original Cuda code AND the Pyopencl code. I > made a lot of changes to the cuda code to improve the performance like > removing branching, changing ifs to switches and removing unused functions > and variables. I then converted the cuda kernels to opencl kernels, copying > and pasting a lot of the code directly. When I run the program in cuda on my > test dataset I get the answer I expect, 100 +- small deviations due to > randomness. The Pyopencl code returns ~twice that or 200 +- small deviations. > It returns 200 no matter which opencl library is called, Nvidia (GPU calc), > Intel (CPU calc), or AMD (CPU Calc). > > On the Windows machine, the exact same Pyopencl code returns the expected > value of 100. > > Before running on the Windows machine I figured I had copied something > incorrectly but every variable I checked prints approximately the same value > that cuda prints within reason except for the final value I check, the > Maximum of the output array. I expect them to be very close but the Pyopencl > one is ~half the value of the cuda value. This is where the factor of 2 comes > from. No other variables are different. > > Any help or ideas are appreciated. > > Joe Reese Haywood, Ph.D., DABR > Medical Physicist > Johnson Family Cancer Center > Mercy Health Muskegon > 1440 E. Sherman Blvd, Suite 300 > Muskegon, MI 49444 > Phone: 231-672-2019 > Email: [email protected] > > > Confidentiality Notice: > This e-mail, including any attachments is the property of Trinity Health and > is intended for the sole use of the intended recipient(s). It may contain > information that is privileged and confidential. Any unauthorized review, > use, disclosure, or distribution is prohibited. If you are not the intended > recipient, please delete this message, and reply to the sender regarding the > error in a separate email. > -------------- next part -------------- > An HTML attachment was scrubbed... > URL: > <http://lists.tiker.net/pipermail/pyopencl/attachments/20150911/f5ac9d77/attachment-0001.html> > > ------------------------------ > > Subject: Digest Footer > > _______________________________________________ > PyOpenCL mailing list > [email protected] > http://lists.tiker.net/listinfo/pyopencl > > > ------------------------------ > > End of PyOpenCL Digest, Vol 72, Issue 3 > *************************************** _______________________________________________ PyOpenCL mailing list [email protected] http://lists.tiker.net/listinfo/pyopencl
