I'm trying to use a software package called GPU-HMMER that was configured using CUDA 2.2.
However, it throws the following error:
cuda_kernel.cu:1:19: fatal error: cutil.h: No such file or directory
I realize that CUDA 5.0 doesn't have this file and I'm unsure about how I can properly install this software using CUDA 5.0
A similar problem was posted at the following link:
CUDA5 Examples: Has anyone translated some cutil definitions to CUDA5?
Any help would be much appreciated
I ran into the same problem when I was trying to compile the CUDA samples. I just did a quick google for cutil.h and found an old version being hosted on assembla.
Cutil.h on Assembla.
I just find out that the Assembla link is broken. Another copy of cutil.h can be found at the following link
www2.icmc.usp.br/~castelo/CUDA/.../inc/cutil.h
Related
I am building a C++ library with Swig, I get this error on mac-os.
Any help would be appreciated.
Swig was installed via homebrew.
Unable to find 'javascript.swg'
I was able to solve this issue by installing a different version of swig.
I am currently having an issue with Octave install in Archlinux. I am not able to load the current version of Octave 4.2.1 in Arch. It shows the following message -
/usr/lib/octave/4.2.1/exec/x86_64-pc-linux-gnu/octave-gui: error while loading shared libraries: libgfortran.so.3: cannot open shared object file: No such file or directory
This problem with libgfortran.so.3 is not rare. Here are two similar problems happening in R 1 and 2. If somebody using Octave on Archlinux came across this issue, can you share how to resolve it. Thanks.
From the comments it became apparent that the solution from the referenced question R v3.4.0-2 unable to find libgfortran.so.3 on Arch needs to be appended, because the way the older GCC versions will be typically installed in Arch Linux is in a different path.
So, one must find, where the older version is installed, like
/usr/lib/gcc/x86_64-pc-linux-gnu/5.4.0/libgfortran.so.3
(depending on the exact GCC version)
and then add the version to LD_LIBRARY_PATH or make a symlik of the library from the above path to /usr/lib64/.
I got this issue because I installed earlier additionally openblas-lapack from AUR for better octave matrix multiplication performance. Updating openblas-lapack to newest version in AUR did the trick for me.
I get the following error when I try to build my first GPU Program. Any suggestions what might be going wrong?
Error 1 error MSB4062: The "Nvda.Build.CudaTasks.SanitizePaths" task
could not be loaded from the assembly C:\Program
Files\MSBuild\Microsoft.Cpp\v4.0\BuildCustomizations\Nvda.Build.CudaTasks.dll.
Could not load file or assembly 'file:///C:\Program
Files\MSBuild\Microsoft.Cpp\v4.0\BuildCustomizations\Nvda.Build.CudaTasks.dll'
or one of its dependencies. The system cannot find the file specified.
Confirm that the declaration is correct, that the assembly
and all its dependencies are available, and that the task contains a
public class that implements
Microsoft.Build.Framework.ITask. C:\Program
Files\MSBuild\Microsoft.Cpp\v4.0\BuildCustomizations\CUDA
3.2.targets 70 4 gpu
I have faced with this problem. So many searching on internet but I could not find anything. At last I recognize that I closed Microsoft .NET Framework 3.5.1 features on Windows Features section in Control Panel.
to turn on Microsoft .Net Framework 3.5.1, you can easily follow these instructions;
http://www.sevenforums.com/tutorials/5023-windows-features-turn-off.html.
I hope this solution will help you !
I've come across this problem after upgrading my system to windows 10. It turns out that I have to reinstall Visual Studio because some dependent dlls have been moved to Windows.old folder.
I had this same error when I was compiling on a remote server. I think it was because I was logged in using Remote Desktop (RDP). When I logged in using VNC and compiled, the error no longer happened.
Note that it's impossible to even install the CUDA Toolkit via RDP, so this is unlikely to happen, unless you regularly use both methods to connect to a server.
I'm trying to setting up a mySql connection using Matlab, I have read I few tutorial but unfortunately I can't get work of them. I had tried to compile the source(.cpp) but I got the following error:
Error: Could not detect a compiler on local system
which can compile the specified input file(s)
C:\PROGRA~1\MATLAB\R2010B\BIN\MEX.PL: Error: No compiler options file could be found to compile source code. Please run "mex -setup" to rectify.
So I I typed "mex -setup"
Please choose your compiler for building external interface (MEX) files:
Would you like mex to locate installed compilers [y]/n? y
Select a compiler:
[0] None
Compiler:
but there is no compiler.
Anybody can help me, how can I make a connection between matlab and mysql, I'm using windows 7 64 bit and Matlab 2010b.
I already installed wampserver.
Have you tried to establish MySQL connection from MATLAB using JBCC connector?
I did it successfully and put the complete workflow with the code example (requires Database Toolbox) in this question:
connection of MATLAB 7.0 and MYSQL
Haven't try on 64-bit though. Please let me know if it will fail.
UPDATE
You can also try the following submissions to File Exchange that do not require the Database toolbox:
queryMySQL
Access a MySQL database
I'm guessing you installed Matlab 64-bit as well, which does NOT come with a built-in MEX compiler (32-bit version uses lcc). You have a few options, but the easiest is to install Visual C++ Express (it's free! http://www.microsoft.com/express/Windows/) which will give you a 64-bit compatible compiler in the mex -setup listing. You'll have to double check which versions of the compiler 2010b is compatible with though.
Caveat: I tried this once and couldn't get it to work, but it was with like 2007b or something, and I didn't try that hard, I just installed 32-bit Matlab.
I'm getting this error while trying to run sample codes in CUDA SDK. I have CUDA 2.3 and Visual studio 2008
LINK : fatal error LNK1181: cannot open input file 'cutil32D.lib'
Any pointers how to solve this?
Since you're compiling the SDK samples, the project files are probably correct. Far more likely is that you haven't built the cutil library. Go to the SDK install directory, then into the "C" directory. You'll see a "common" directory, in there open the cutil.sln solution (or cutil_vc90.sln for VS2008) and build it in release and debug modes for your platform.
Then try your sample again.
The cutil library is used to avoid replicating the same code through all the samples, if you're starting your own project I'd avoid reusing the cutil library and write your own checker. For example, you should probably fail gracefully if you detect a CUDA error rather than just calling exit() as done in cutil.
The cuda.rules file included in the SDK is highly recommended! Using this you can just add .cu files to any project and Visual Studio will know how to compile them and link them in to the final executable. Easy!
Your MSVC project needs to include the library cutil32D.lib to link. Once you specify it as a library the linker needs to include in the final binary artifact this problem will go away. It would seem the library is missing at the location the linker is going to look for it. You'll have to change the library search paths or move that file to a directory in which the linker is already looking.
I ran into the same issue. It turned out not only did I need to build the cutil project but also the shrUtils project under the SDK's shared folder.