Richard,
"svn diff -r18088:18092 x10.runtime/x10rt/common/x10rt_cuda.cc" in our
repo should generate that patch.
Igor
Richard Gomes <[email protected]> wrote on 11/09/2010 05:11:43 PM:
> Hi Dave,
>
> Could you please send the patch again?
>
> Thanks
>
> Richard Gomes
> M: +44(77)9955-6813
> http://tinyurl.com/frgomes
> twitter: frgomes
>
> JQuantLib is a library for Quantitative Finance written in Java.
> http://www.jquantlib.org/
> twitter: jquantlib
>
> On 09/11/10 03:45, Dave Cunningham wrote:
> > Thanks for trying out X10/CUDA
> >
> > Your initial problem with CUDATopology is due to the fact that
X10RT_ACCELS
> > is ineffective if X10 was built without -DX10RT_CUDA=true, this means
the
> > X10 application was unable to 'see' the accelerators. You correctly
> > surmised that building X10 from the source release was necessary.
> >
> > The build errors are due to nvidia adding more error codes and making
> > backwards incompatible changes in the CUDA API. This is now fixed in
SVN.
> > I checked the build with the following CUDA versions:
> >
> > cuda-2.2 cuda-2.3 cuda-3.0 cuda-3.1 cuda-3.2.12
> >
> > If you decide to use SVN, there are some changes to the way kernels
should
> > be written in X10 that are currently undocumented (except via the code
in
> > the samples dir). Also, we can't guarantee there won't be more
changes (and
> > breakages) before the next release. However you will be able to try
new
> > features like clocks and constant memory on the GPU.
> >
> > If using SVN does not appeal, you can also patch the source release to
fix
> > this problem. Apply the attached patch from the root of the source
release
> > as follows, and rebuild:
> >
> > patch -p0< cuda_3.2.patch
> >
> > hope this helps
--
Igor Peshansky (note the spelling change!)
IBM T.J. Watson Research Center
X10: Parallel Productivity and Performance (http://x10-lang.org/)
XJ: No More Pain for XML's Gain (http://www.research.ibm.com/xj/)
"I hear and I forget. I see and I remember. I do and I understand" --
Xun Zi
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