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alechand
Joined: 14 May 2012 Posts: 21
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Posted: Thu May 16, 2013 5:04 am Post subject: |
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Hi Mat,
i installed the cuda 5.0 samples for ubuntu 11.10 64 bits from the website you recommended.
here is one output:
######################################
alechand@pcsantos2:~/NVIDIA_CUDA-5.0_Samples/0_Simple/matrixMul$ make
/usr/local/cuda-5.0/bin/nvcc -m64 -gencode arch=compute_10,code=sm_10 -gencode arch=compute_20,code=sm_20 -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -I/usr/local/cuda-5.0/include -I. -I.. -I../../common/inc -o matrixMul.o -c matrixMul.cu
g++ -m64 -o matrixMul matrixMul.o -L/usr/local/cuda-5.0/lib64 -lcudart
mkdir -p ../../bin/linux/release
cp matrixMul ../../bin/linux/release
#######################################
and here is other:
#####################################
alechand@pcsantos2:~/NVIDIA_CUDA-5.0_Samples/6_Advanced/segmentationTreeThrust$ make
/usr/local/cuda-5.0/bin/nvcc -m64 -gencode arch=compute_13,code=sm_13 -gencode arch=compute_20,code=sm_20 -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -I/usr/local/cuda-5.0/include -I. -I.. -I../../common/inc -o segmentationTree.o -c segmentationTree.cu
g++ -m64 -o segmentationTreeThrust segmentationTree.o -L/usr/local/cuda-5.0/lib64 -lcudart
mkdir -p ../../bin/linux/release
cp segmentationTreeThrust ../../bin/linux/release
###########################################
Considering my driver is installed,
I have problems with my graphic card right?
thanks |
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mkcolg
Joined: 30 Jun 2004 Posts: 4995 Location: The Portland Group Inc.
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Posted: Thu May 16, 2013 10:13 am Post subject: |
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| These are just the build logs. Were you able to run the resulting binaries? |
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alechand
Joined: 14 May 2012 Posts: 21
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Posted: Thu May 16, 2013 10:17 am Post subject: |
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Sorry i forget it... here it is:
#########################3
alechand@pcsantos2:~/NVIDIA_CUDA-5.0_Samples/bin/linux/release$ ./matrixMul
[Matrix Multiply Using CUDA] - Starting...
GPU Device 0: "GeForce GTX 680" with compute capability 3.0
MatrixA(320,320), MatrixB(640,320)
Computing result using CUDA Kernel...
done
Failed to create start event (error code unspecified launch failure)!
alechand@pcsantos2:~/NVIDIA_CUDA-5.0_Samples/bin/linux/release$ ./segmentationTreeThrust
./segmentationTreeThrust Starting...
GPU Device 0: "GeForce GTX 680" with compute capability 3.0
* Building segmentation tree... Algorithm failed (unspecified launch failure)
alechand@pcsantos2:~/NVIDIA_CUDA-5.0_Samples/bin/linux/release$ ./clock
CUDA Clock sample
GPU Device 0: "GeForce GTX 680" with compute capability 3.0
CUDA error at clock.cu:127 code=4(cudaErrorLaunchFailure) "cudaMemcpy(timer, dtimer, sizeof(clock_t) * NUM_BLOCKS * 2, cudaMemcpyDeviceToHost)"
CUDA error at clock.cu:129 code=4(cudaErrorLaunchFailure) "cudaFree(dinput)"
CUDA error at clock.cu:130 code=4(cudaErrorLaunchFailure) "cudaFree(doutput)"
CUDA error at clock.cu:131 code=4(cudaErrorLaunchFailure) "cudaFree(dtimer)"
Total clocks = -1536394840
alechand@pcsantos2:~/NVIDIA_CUDA-5.0_Samples/bin/linux/release$
alechand@pcsantos2:~/NVIDIA_CUDA-5.0_Samples/bin/linux/release$ ./inlinePTX
CUDA inline PTX assembler sample
GPU Device 0: "GeForce GTX 680" with compute capability 3.0
CUDA error at inlinePTX.cu:70 code=4(cudaErrorLaunchFailure) "cudaDeviceSynchronize()"
CUDA error at inlinePTX.cu:75 code=4(cudaErrorLaunchFailure) "cudaMallocHost(&h_d_ptr, N *sizeof(int))"
CUDA error at inlinePTX.cu:76 code=4(cudaErrorLaunchFailure) "cudaMemcpy(h_d_ptr, d_ptr, N *sizeof(int), cudaMemcpyDeviceToHost)"
Segmentation fault
alechand@pcsantos2:~/NVIDIA_CUDA-5.0_Samples/bin/linux/release$
#################################3
I compiled two more programs clock and inlinePTX (above).
I am also using the forum of Nvidia, just to inform you what is happening...
thanks |
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mkcolg
Joined: 30 Jun 2004 Posts: 4995 Location: The Portland Group Inc.
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Posted: Thu May 16, 2013 10:28 am Post subject: |
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| Quote: | | * Building segmentation tree... Algorithm failed (unspecified launch failure) | Yes, it does appear to be a problem with your device and/or system.
| Quote: | | I am also using the forum of Nvidia, just to inform you what is happening... | Good, they should be better able to help. Once you get the CUDA C examples running, the PGI ones should then start working as well.
- Mat |
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