Program GPU usage

caban · May 2, 2012, 3:34am

Hello, I installed CUDA on Debian 6.04

DeviceQuery from the CUDA SDK

[deviceQuery] starting…

./deviceQuery Starting…

CUDA Device Query (Runtime API) version (CUDART static linking)

Found 1 CUDA Capable device(s)

Device 0: “GeForce 9300 / nForce 730i”

CUDA Driver Version / Runtime Version 4.2 / 4.2

CUDA Capability Major/Minor version number: 1.1

Total amount of global memory: 253 MBytes (265617408 bytes)

( 2) Multiprocessors x ( 8) CUDA C[deviceQuery] starting…

./deviceQuery Starting…

CUDA Device Query (Runtime API) version (CUDART static linking)

Found 1 CUDA Capable device(s)

Device 0: “GeForce 9300 / nForce 730i”

CUDA Driver Version / Runtime Version 4.2 / 4.2

CUDA Capability Major/Minor version number: 1.1

Total amount of global memory: 253 MBytes (265617408 bytes)

( 2) Multiprocessors x ( 8) CUDA Cores/MP: 16 CUDA Cores

GPU Clock rate: 1200 MHz (1.20 GHz)

Memory Clock rate: 800 Mhz

Memory Bus Width: 128-bit

Max Texture Dimension Size (x,y,z) 1D=(8192), 2D=(65536,32768), 3D=(2048,2048,2048)

Max Layered Texture Size (dim) x layers 1D=(8192) x 512, 2D=(8192,8192) x 512

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: 32

Maximum number of threads per multiprocessor: 768

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: 2147483647 bytes

Texture alignment: 256 bytes

Concurrent copy and execution: No with 0 copy engine(s)

Run time limit on kernels: Yes

Integrated GPU sharing Host Memory: Yes

Support host page-locked memory mapping: Yes

Concurrent kernel execution: No

Alignment requirement for Surfaces: Yes

Device has ECC support enabled: No

Device is using TCC driver mode: No

Device supports Unified Addressing (UVA): No

Device PCI Bus ID / PCI location ID: 3 / 0

Compute Mode:
 < Default (multiple host threads can viceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)

Found 1 CUDA Capable device(s)

Device 0: “GeForce 9300 / nForce 730i”

CUDA Driver Version / Runtime Version 4.2 / 4.2

CUDA Capability Major/Minor version number: 1.1

Total amount of global memory: 253 MBytes (265617408 bytes)

( 2) Multiprocessors x ( 8) CUDA C[deviceQuery] starting…

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 4.2, CUDA Runtime Version = 4.2, NumDevs = 1, Device = GeForce 9300 / nForce 730i

[deviceQuery] test results…

PASSED

How I can make shure that the program uses GPU?

pasoleatis · May 2, 2012, 8:36am

By calling gpu specific functions. You need to explicitly write functions and have the kernel atribbutie which will be executed on gpu.

caban · May 2, 2012, 10:52am

I have another situation, Application Vray must use GPU, but when I start it, program freezes up

Log from console

And I want to know, Vray use GPU or no?

pasoleatis · May 2, 2012, 1:52pm

Hello,

When I run cuda programs I use nvidia-smi to see on which device they run and how much memory are they using.

cudaDMA · May 2, 2012, 5:07pm

Your GPU is CUDA supported and you should be able to run CUDA binaries on it. Try out some of the other samples from the CUDA SDK.

caban · May 3, 2012, 3:43am

Nvidia-smi doesn’t support my Video Card. =(

I successfully run example from CUDA SDK.

But I watch the following picture

I run binaries (fluidsGL)

From top

It’s normall?

pasoleatis · May 3, 2012, 6:51am

The examples would not run without the gpu. If yuo can monitor the temperature of the card you should see and increase in the temperature followed by a ventilator increase of rpms.