Martin,
Thanks for your tips - they definitely helped. I wasn't able to follow your
exact configuration, but there was enough there to help me through. Problem
solved.
For others:
It appears the real issue was in the way the boost libraries were compiled. I
believe the flags that Martin used (address-model and architecture) were the
real key. I wasn't able to get the included boost to work, so I compiled the
date_time, python, and thread bits separately. Following some of the
documentation on the wiki, I downloaded the boost source, opened a command line
prompt and cd'd to the root directory. I did 'bootstrap' there, and then
issued the following commands
>/bjam python toolset=msvc link=sharedthreading=multi runtime-link=shared
>architecture=x86 address-model=32 stage
based on Martin's configuration.
first for the python library, then replacing "python" with "date_time", and
then "thread". That build the necessary boost libraries.
Then, I unzipped a fresh pycuda source and opened another command prompt.
>python configure.py
which creates a siteconf.py file. Mine looked like (again, modeling Martin's):
BOOST_INC_DIR = ['C:/boost_src/boost_1_46_1']
BOOST_LIB_DIR = ['C:/boost_src/boost_1_46_1/stage/lib']
BOOST_COMPILER = 'msvc9'
USE_SHIPPED_BOOST = False
BOOST_PYTHON_LIBNAME = ['boost_python-vc90-mt-1_46_1']
BOOST_THREAD_LIBNAME = ['boost_thread-vc90-mt-1_46_1']
CUDA_TRACE = False
CUDA_ENABLE_GL = False
CUDA_ROOT = 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v3.2'
CUDADRV_LIB_DIR = ['C:/Program Files/NVIDIA GPU Computing
Toolkit/CUDA/v3.2/lib/Win32']
CUDADRV_LIBNAME = ['cuda']
CXXFLAGS = ['/EHsc','/DBOOST_ALL_NO_LIB']
LDFLAGS = ['/FORCE']
I had to turn the enable_GL flag off...that was giving me compile errors.
so...now, I have Windows Server 2008 RC2 x64, with 32bit Python 2.5.6, 32bit
PyCUDA, talking with my Tesla S2050 through a 64bit driver.
________________________________
From: "Bergtholdt, Martin" <martin.bergtho...@philips.com>
To: Mike Tischler <mikethesoils...@yahoo.com>; Andreas Kloeckner
<li...@informa.tiker.net>; "pycuda@tiker.net" <pycuda@tiker.net>
Sent: Friday, April 15, 2011 7:35 AM
Subject: RE: [PyCUDA] Install - Windows Server 2008 64bit
Hi,
I was able to build PyCuda in Windows-7 64bit for 32bit Python with 64bit Cuda
(which includes 32bit version). This is my siteconfig for Visual Studio 2008:
BOOST_INC_DIR = ['D:/Programming/CC/install/vs09x32_shared_release/include']
BOOST_LIB_DIR = ['D:/Programming/CC/install/vs09x32_shared_release/lib']
BOOST_COMPILER = 'msvc9'
USE_SHIPPED_BOOST = False
BOOST_PYTHON_LIBNAME = ['boost_python-mt']
BOOST_THREAD_LIBNAME = ['boost_thread-mt']
CUDA_TRACE = False
CUDA_ROOT = 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v3.2'
CUDA_ENABLE_GL = True
CUDADRV_LIB_DIR = ['C:/Program Files/NVIDIA GPU Computing
Toolkit/CUDA/v3.2/lib/Win32']
CUDADRV_LIBNAME = ['cuda']
CXXFLAGS = ['/EHsc', '/DBOOST_ALL_NO_LIB']
LDFLAGS = []
I.e. also using an externally build boost. I have not tried with the internal
one, since I already had boost compiled this way:
Bjam -j7 \
--toolset=msvc-9.0 \
--layout=system \
link=shared \
threading=multi \
runtime-link=shared \
architecture=x86 \
address-model=32
Good Luck,
Martin
From:pycuda-boun...@tiker.net [mailto:pycuda-boun...@tiker.net] On Behalf Of
Mike Tischler
Sent: 14 April 2011 22:14
To: Andreas Kloeckner; pycuda@tiker.net
Subject: Re: [PyCUDA] Install - Windows Server 2008 64bit
Andreas,
I'm also wondering if there is a way to configure 32bit PyCuda in a 32bit
Python install on a 64bit OS to work with a 64bit CUDA Driver & Toolkit. That
would also solve my issue.
thanks,
Mike
________________________________
From:Andreas Kloeckner <li...@informa.tiker.net>
To: Mike Tischler <mikethesoils...@yahoo.com>; "pycuda@tiker.net"
<pycuda@tiker.net>
Sent: Wednesday, April 13, 2011 7:38 PM
Subject: Re: [PyCUDA] Install - Windows Server 2008 64bit
On Wed, 13 Apr 2011 12:40:59 -0700 (PDT), Mike Tischler
<mikethesoils...@yahoo.com> wrote:
> Andreas,
> Thanks - I'll try looking into a different debugger.
>
>
> >Any particular reason to not use shipped boost?
> Yes. I couldn't get it to compile properly. I tried again by running
> configure.py, setup.py build, setup.py install and receive errors
> about missing files (boost\mpl\aux_\_include_preprocessed something or
> other). If I compiled boost from source on the machine, I could then
> get pycuda to compile by changing the configuration parameters.
Let me know what files those are. There are some machine-dependent files
in boost, and I might simply be missing the ones needed for
Windows. After a few iterations, we might have a complete set, and then
your problem might be solved.
Andreas
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