Comments on: NVIDIA CUDA on Ubuntu Karmic Koala and GCC 4.4

By: Husain AlKhamis

Husain AlKhamis — Mon, 17 Jan 2011 11:31:48 +0000

@Davi
@Deab Wood

I run into same problem. Here is the solution I found:
http://kenshin579.tistory.com/entry/Setup-CUDA-31-on-Ubuntu-1004-with-nVidia-Geforce-8400-GS-card

good luck!

By: None

None — Mon, 19 Jul 2010 13:52:02 +0000

Interesting. The image looks exactly like http://jcuda.org/samples/Bucky01.png :D

By: Dean Wood

Dean Wood — Fri, 18 Jun 2010 19:11:54 +0000

Hi,

I am having the same problem as Davi so if either of you have any idea that would be cool.

Thanks

Dean

By: Davi

Davi — Tue, 01 Jun 2010 18:11:57 +0000

Hey Thomas,
I am tryig to install the SDK examples. I already downgraded the gcc and g++ to 4.3. When I try to make, it cannot find -lGL. How should I do to install this library?

By: jacksparrow

jacksparrow — Sat, 29 May 2010 12:19:08 +0000

hi ,
I run through all your instruction …but when i run deviceQuery command then got the following error:-
bash: ./deviceQuery: No such file or directory

Please help me get out of this as i have spent so much time on installing CUDA on my ubuntu9.04 machine

By: Tobbe

Tobbe — Tue, 20 Apr 2010 07:41:51 +0000

Hi! Thank you very much!
I got stuck because I only had g++ 4.4, but your instructions made my day!
Now I’m excited in a disturbing way!! :D

By: Marxwing

Marxwing — Thu, 18 Mar 2010 17:08:20 +0000

Sorry, was my mistake. But now I think of a problem…

marxwing@marxwing-laptop:~/NVIDIA_GPU_Computing_SDK/C$ bin/linux/release/deviceQuery
CUDA Device Query (Runtime API) version (CUDART static linking)
There is no device supporting CUDA.

Device 0: “Device Emulation (CPU)”
CUDA Driver Version: 2.30
CUDA Runtime Version: 2.30
CUDA Capability Major revision number: 9999
CUDA Capability Minor revision number: 9999
Total amount of global memory: 4294967295 bytes
Number of multiprocessors: 16
Number of cores: 128
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 16384 bytes
Total number of registers available per block: 8192
Warp size: 1
Maximum number of threads per block: 512
Maximum sizes of each dimension of a block: 512 x 512 x 64
Maximum sizes of each dimension of a grid: 65535 x 65535 x 1
Maximum memory pitch: 262144 bytes
Texture alignment: 256 bytes
Clock rate: 1.35 GHz
Concurrent copy and execution: No
Run time limit on kernels: No
Integrated: Yes
Support host page-locked memory mapping: Yes
Compute mode: Default (multiple host threads can use this device simultaneously)

Test PASSED

Press ENTER to exit…

marxwing@marxwing-laptop:~/NVIDIA_GPU_Computing_SDK/C$ bin/linux/release/volumeRender
[ CUDA 3D Volume Render ]
NVIDIA: could not open the device file /dev/nvidiactl (Permission denied).
freeglut (bin/linux/release/volumeRender): Unable to create direct context rendering for window ‘CUDA volume rendering’
This may hurt performance.

CUDA Capability Major revision number: 9999 , CUDA Capability Minor revision number: 9999 , Warp size: 1, Run time limit on kernels: No …these characteristics are different … would greatly appreciate any help you can provide

By: Marxwing

Marxwing — Thu, 18 Mar 2010 16:36:45 +0000

Hi Thomas, I also follow your guide and have the same problem as Jeans. You already had installed mesa-common-dev, freeglut-dev, libXi-dev, and libXmu-dev. What would be my problem?

make[1]: Entering directory `/home/romulo/NVIDIA_GPU_Computing_SDK/C/common’
make[1]: Leaving directory `/home/romulo/NVIDIA_GPU_Computing_SDK/C/common’
make[1]: Entering directory `/home/romulo/NVIDIA_GPU_Computing_SDK/C/common’
make[1]: Leaving directory `/home/romulo/NVIDIA_GPU_Computing_SDK/C/common’
make[1]: Entering directory `/home/romulo/NVIDIA_GPU_Computing_SDK/C/common’
make[1]: Leaving directory `/home/romulo/NVIDIA_GPU_Computing_SDK/C/common’
make -C src/simpleVoteIntrinsics/
make[1]: Entering directory `/home/romulo/NVIDIA_GPU_Computing_SDK/C/src/simpleVoteIntrinsics’
/usr/include/string.h:43: error: inline function ‘void* memcpy(void*, const void*, size_t)’ cannot be declared weak
/usr/include/string.h:64: error: inline function ‘void* memset(void*, int, size_t)’ cannot be declared weak
/usr/include/bits/string3.h:49: error: inline function ‘void* memcpy(void*, const void*, size_t)’ cannot be declared weak
/usr/include/bits/string3.h:78: error: inline function ‘void* memset(void*, int, size_t)’ cannot be declared weak
/usr/local/cuda/bin/../include/common_functions.h:59: error: inline function ‘void* memset(void*, int, size_t)’ cannot be declared weak
/usr/local/cuda/bin/../include/common_functions.h:62: error: inline function ‘void* memcpy(void*, const void*, size_t)’ cannot be declared weak
/usr/local/cuda/bin/../include/math_functions.h:412: error: inline function ‘int __signbit(double)’ cannot be declared weak
/usr/local/cuda/bin/../include/math_functions.h:417: error: inline function ‘int __signbitf(float)’ cannot be declared weak
/usr/include/bits/mathcalls.h:350: error: inline function ‘int __signbit(double)’ cannot be declared weak
/usr/include/bits/mathcalls.h:350: error: inline function ‘int __signbitf(float)’ cannot be declared weak
/usr/include/bits/mathcalls.h:350: error: inline function ‘int __signbitl(long double)’ cannot be declared weak
/usr/include/bits/mathinline.h:36: error: inline function ‘int __signbitf(float)’ cannot be declared weak
/usr/include/bits/mathinline.h:42: error: inline function ‘int __signbit(double)’ cannot be declared weak
/usr/include/bits/mathinline.h:48: error: inline function ‘int __signbitl(long double)’ cannot be declared weak
/usr/local/cuda/bin/../include/math_functions.h:442: error: inline function ‘int __signbitl(long double)’ cannot be declared weak
make[1]: *** [obj/release/simpleVoteIntrinsics.cu.o] Error 255
make[1]: se sale del directorio `/home/romulo/NVIDIA_GPU_Computing_SDK/C/src/simpleVoteIntrinsics’
make: *** [src/simpleVoteIntrinsics/Makefile.ph_build] Error 2

By: Thomas

Thomas — Fri, 12 Mar 2010 17:43:56 +0000

See comment number 11 above, you have to install some dependencies.

By: jens

jens — Fri, 12 Mar 2010 16:58:10 +0000

I followed your guide, as i see others have success, but step 6 in “Installing the CUDA SDK and Compiling the Example Programs” i get the following error with $make:

make[1]: Entering directory `/home/USER/NVIDIA_GPU_Computing_SDK/C/common’
make[1]: Leaving directory `/home/USER/NVIDIA_GPU_Computing_SDK/C/common’
make[1]: Entering directory `/home/USER/NVIDIA_GPU_Computing_SDK/C/common’
make[1]: Leaving directory `/home/USER/NVIDIA_GPU_Computing_SDK/C/common’
make[1]: Entering directory `/home/USER/NVIDIA_GPU_Computing_SDK/C/common’
make[1]: Leaving directory `/home/USER/NVIDIA_GPU_Computing_SDK/C/common’
make -C src/clock/
make[1]: Entering directory `/home/USER/NVIDIA_GPU_Computing_SDK/C/src/clock’
make[1]: Leaving directory `/home/USER/NVIDIA_GPU_Computing_SDK/C/src/clock’
make -C src/marchingCubes/
make[1]: Entering directory `/home/USER/NVIDIA_GPU_Computing_SDK/C/src/marchingCubes’
/usr/bin/ld: cannot find -lXi
collect2: ld returned 1 exit status
make[1]: *** [../../bin/linux/release/marchingCubes] Error 1
make[1]: Leaving directory `/home/USER/NVIDIA_GPU_Computing_SDK/C/src/marchingCubes’
make: *** [src/marchingCubes/Makefile.ph_build] Error 2

Any one that could help me? I don’t know what kind of info you will need, but i have ubuntu 9.10 64bit, GTX275 gpu on p5qdeluxe mb from asus.