Hello!
I just installed CUDA and everything with the latest drivers… but when i run some of the example they crash… I have a geforce 8600
let’s start with the first:
mascarpone@mascarpone-desktop:~/NVIDIA_CUDA_SDK/bin/linux/release$ ./alignedTypes
Using device 0: GeForce 8400 GS
Allocating memory...
Generating host input data array...
Uploading input data to GPU memory...
Testing misaligned types...
uint8...
Avg. time: 466.200165 ms / Copy throughput: 0.099884 GB/s.
TEST FAILED
uint16...
Avg. time: 0.008313 ms / Copy throughput: 5601.940243 GB/s.
TEST FAILED
RGBA8_misaligned...
Avg. time: 0.008156 ms / Copy throughput: 5709.257001 GB/s.
TEST FAILED
LA32_misaligned...
Avg. time: 0.008156 ms / Copy throughput: 5709.257001 GB/s.
TEST FAILED
RGB32_misaligned...
Avg. time: 0.008125 ms / Copy throughput: 5731.215137 GB/s.
TEST FAILED
RGBA32_misaligned...
Avg. time: 0.008219 ms / Copy throughput: 5665.840512 GB/s.
TEST FAILED
Testing aligned types...
RGBA8...
Avg. time: 0.008219 ms / Copy throughput: 5665.840512 GB/s.
TEST FAILED
I32...
Avg. time: 0.008187 ms / Copy throughput: 5687.466224 GB/s.
TEST FAILED
LA32...
Avg. time: 0.008219 ms / Copy throughput: 5665.840512 GB/s.
TEST FAILED
RGB32...
Avg. time: 0.008250 ms / Copy throughput: 5644.379271 GB/s.
TEST FAILED
RGBA32...
Avg. time: 0.008250 ms / Copy throughput: 5644.379271 GB/s.
TEST FAILED
RGBA32_2...
Avg. time: 0.008250 ms / Copy throughput: 5644.379271 GB/s.
TEST FAILED
Shutting down...
Press ENTER to exit...
hey guys,
i just wrote a script so if you have to launch all examples you won’t loose too much time… here it is
echo "Starting commands..."
./alignedTypes
./asyncAPI
./bandwidthTest
./bicubicTexture
./binomialOptions
./bitonic
./BlackScholes
./boxFilter
./clock
./convolutionFFT2D
./convolutionSeparable
./convolutionTexture
./cppIntegration
./dct8x8
./deviceQuery
./dwtHaar1D
./dxtc
./eigenvalues
./fastWalshTransform
./fluidsGL
./histogram64
./histogram256
./imageDenoising
./lineOfSight
./Mandelbrot
./marchingCubes
./matrixMul
./matrixMulDrv
./MersenneTwister
./MonteCarlo
./MonteCarloMultiGPU
./nbody
./oceanFFT
./particles
./postProcessGL
./quasirandomGenerator
./recursiveGaussian
./reduction
./scalarProd
./scan
./scanLargeArray
./simpleAtomicIntrinsics
./simpleCUBLAS
./simpleCUFFT
./simpleGL
./simpleMultiGPU
./simpleStreams
./simpleTemplates
./simpleTexture
./simpleTexture3D
./simpleTextureDrv
./simpleVoteIntrinsics
./SobelFilter
./template
./threadMigration
./transpose
./volumeRender
echo "Done!"
copy it in your example folder, save it as myscript, and then write in your console:
sh myscript
here you go!
Mafos
October 18, 2008, 12:20pm
#3
hey guys,
i just wrote a script so if you have to launch all examples you won’t loose too much time… here it is
echo "Starting commands..."
./alignedTypes
[...]
./volumeRender
echo "Done!"
copy it in your example folder, save it as myscript, and then write in your console:
sh myscript
here you go!
[snapback]452763[/snapback]
Or just enter example directory and type:
for one in `ls`; do ./$one; done
Isn’t it simplier? :)
jma
October 19, 2008, 6:57am
#4
The program isn’t actually crashing. On the other hand, it isn’t exactly behaving as expected either.
I can confirm that I see something similar here. It fails when I run from a terminal within gnome but works with a minimal setup as in: startx xterm – :1
From the console it fails consistently for ordinary users but sometimes works for root. When it fails, I get an NVRM Xid: (0003:00): 13
Premature termination with Ctrl-C makes the X server start behaving weirdly, dropping pixel noise all over the place and rendering OpenGL in noisy 16x16 chunks.
This is with driver 177.73 on a g98
Or just enter example directory and type:
for one in `ls`; do ./$one; done
Isn’t it simplier? :)
[snapback]453566[/snapback]
ehhehe thank you! It was my first SH program… eehheheh… still much to learn!
const
October 22, 2008, 5:43am
#6
Did you tweak driver? I experienced similar problem when I add parameter NVreg_UsePageAttributeTable=0 to nvidia kernel module. Graphics run a bit faster with MTRR instead of with PAT, but CUDA becomes completely unusable.
Did you tweak driver? I experienced similar problem when I add parameter NVreg_UsePageAttributeTable=0 to nvidia kernel module. Graphics run a bit faster with MTRR instead of with PAT, but CUDA becomes completely unusable.
[snapback]454980[/snapback]
hi!
no at all! As I said i used the default options since I’m a noob… If no input will be given in the next few days I’ll try to make a new install and see how it goes…
thank you anyhow!