On Thu, 2010-08-19 at 17:08 +0200, Daniel Guellmar wrote:
> Hi folks,
>
> I'm trying to employ the new cuda binaries, which come with freesurfer
> version 5.0.0, however, if I'm trying to execute a cuda binary (e.g.
> mri_ca_register_cuda) I get the following output:
>
> Acquiring CUDA device
> Using default device
> CUDA Error in file '
devicemanagement.cu' on line 46 : all CUDA-capable
> devices are busy or unavailable.
>
> This error occurs on two different systems which are cuda capable. Both
> systems run with Ubuntu 9.10, both have the latest developer driver for
> linux (256.40) and the latest cuda toolkit (3.1) on it. The GPU
> Computing SDK code samples compile and work fine. The device query on
> both hosts work fine ... see following output
>
> Host 1:
>
> CUDA Device Query (Runtime API) version (CUDART static linking)
>
> There are 2 devices supporting CUDA
>
> Device 0: "Tesla C2050"
> CUDA Driver Version: 3.10
> CUDA Runtime Version: 3.10
> CUDA Capability Major revision number: 2
> CUDA Capability Minor revision number: 0
> Total amount of global memory: 2817720320 bytes
> Number of multiprocessors: 14
> Number of cores: 448
> Total amount of constant memory: 65536 bytes
> Total amount of shared memory per block: 49152 bytes
> Total number of registers available per block: 32768
> Warp size: 32
> Maximum number of threads per block: 1024
> Maximum sizes of each dimension of a block: 1024 x 1024 x 64
> Maximum sizes of each dimension of a grid: 65535 x 65535 x 1
> Maximum memory pitch: 2147483647 bytes
> Texture alignment: 512 bytes
> Clock rate: 1.15 GHz
> Concurrent copy and execution: Yes
> Run time limit on kernels: Yes
> Integrated: No
> Support host page-locked memory mapping: Yes
> Compute mode: Default (multiple host
> threads can use this device simultaneously)
> Concurrent kernel execution: Yes
> Device has ECC support enabled: Yes
>
> Device 1: "Tesla C2050"
> CUDA Driver Version: 3.10
> CUDA Runtime Version: 3.10
> CUDA Capability Major revision number: 2
> CUDA Capability Minor revision number: 0
> Total amount of global memory: 2817982464 bytes
> Number of multiprocessors: 14
> Number of cores: 448
> Total amount of constant memory: 65536 bytes
> Total amount of shared memory per block: 49152 bytes
> Total number of registers available per block: 32768
> Warp size: 32
> Maximum number of threads per block: 1024
> Maximum sizes of each dimension of a block: 1024 x 1024 x 64
> Maximum sizes of each dimension of a grid: 65535 x 65535 x 1
> Maximum memory pitch: 2147483647 bytes
> Texture alignment: 512 bytes
> Clock rate: 1.15 GHz
> Concurrent copy and execution: Yes
> Run time limit on kernels: Yes
> Integrated: No
> Support host page-locked memory mapping: Yes
> Compute mode: Default (multiple host
> threads can use this device simultaneously)
> Concurrent kernel execution: Yes
> Device has ECC support enabled: Yes
>
> deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 3.10, CUDA
> Runtime Version = 3.10, NumDevs = 2, Device = Tesla C2050, Device =
> Tesla C2050
>
>
> Host 2:
>
> CUDA Device Query (Runtime API) version (CUDART static linking)
>
> There is 1 device supporting CUDA
>
> Device 0: "Tesla C1060"
> CUDA Driv CUDA Runtime Version: 3.10
> CUDA Capability Major revision number: 1
> CUDA Capability Minor revision number: 3
> Total amount of global memory: 4294770688 bytes
> Number of multiprocessors: 30
> Number of cores: 240
> Total amount of constant memory: 65536 bytes
> Total amount of shared memory per block: 16384 bytes
> Total number of registers available per block: 16384
> Warp size: 32
> 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
> Clock rate: 1.30 GHz
> Concurrent copy and execution: Yes
> Run time limit on kernels: No
> Integrated: No
> Support host page-locked memory mapping: Yes
> Compute mode: Default (multiple host
> threads can use this device simultaneously)
> Concurrent kernel execution: No
> Device has ECC support enabled: No
>
> deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 3.10, CUDA
> Runtime Version = 3.10, NumDevs = 1, Device = Tesla C1060
>
> Any comments on that?
>
> Regards and thanks in advance,
> Daniel
>
>
> --
>
> Dr.-Ing. Daniel Güllmar
> Medical Physics Group / IDIR I
> Jena University Hospital
> MRT-Gebäude am Steiger
> Philosophenweg 3
> 07743 Jena
>
> Tel: +49-3641-9-35373
> Fax: +49-3641-9-35081
> www:
http://ww.mrt.uni-jena.de
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