Ubuntu 14.04 and CUDA 6.5

[yeison]

I tested this on my system and it seems to work.

[flx42]

Please send us the signed CLA before we can accept your contribution
https://github.com/NVIDIA/nvidia-docker#issues-and-contributing

Thanks!

[yeison]

To reply to the question in the other thread- the reason I want to use 6.5 is because I have an old NVIDIA card that isn't compatible with the 352 driver.

[flx42]

Which GPU do you have?

[yeison]

Here are the details of the GPU I have. I think I'll just buy a new card. I ran into issues running the code I wanted to run (CUBLAS_STATUS_EXECUTION_FAILED)

Device 0: "GeForce 8400GS"
CUDA Driver Version / Runtime Version 6.5 / 6.5
CUDA Capability Major/Minor version number: 1.2
Total amount of global memory: 1024 MBytes (1073545216 bytes)
( 2) Multiprocessors, ( 8) CUDA Cores/MP: 16 CUDA Cores
GPU Clock rate: 1238 MHz (1.24 GHz)
Memory Clock rate: 600 Mhz
Memory Bus Width: 64-bit
Maximum Texture Dimension Size (x,y,z) 1D=(8192), 2D=(65536, 32768), 3D=(2048, 2048, 2048)
Maximum Layered 1D Texture Size, (num) layers 1D=(8192), 512 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(8192, 8192), 512 layers
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 multiprocessor: 1024
Maximum number of threads per block: 512
Max dimension size of a thread block (x,y,z): (512, 512, 64)
Max dimension size of a grid size (x,y,z): (65535, 65535, 1)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 256 bytes
Concurrent copy and kernel execution: Yes with 1 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): No
Device PCI Bus ID / PCI location ID: 2 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 6.5, CUDA Runtime Version = 6.5, NumDevs = 1, Device0 = GeForce 8400GS
Result = PASS

[flx42]

Wow, that's an old GPU indeed, you won't be able to run a lot of CUDA code with this.
But we can still merge this PR if you rebase it and send us the CLA, otherwise I can add 6.5 support myself.

[3XX0]

Um 1.2 architecture on CUDA 6.5-19, @flx42 you're sure about this ?

[flx42]

Oh no it won't work, but I would be happy to accept the contribution anyway if he fixes the PR.

[yeison]

I don't have access to a printer at the moment to sign the CLA. Feel free to add the 6.5 support without my PR.

[yeison]

Yea new GPU received today. I'm excited to put this baby to the test:

Device 0: "GeForce GTX 950"
CUDA Driver Version / Runtime Version 7.5 / 7.5
CUDA Capability Major/Minor version number: 5.2
Total amount of global memory: 2048 MBytes (2147287040 bytes)
( 6) Multiprocessors, (128) CUDA Cores/MP: 768 CUDA Cores
GPU Max Clock rate: 1266 MHz (1.27 GHz)
Memory Clock rate: 3305 Mhz
Memory Bus Width: 128-bit
L2 Cache Size: 1048576 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 2048
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 2 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 7.5, CUDA Runtime Version = 7.5, NumDevs = 1, Device0 = GeForce GTX 950
Result = PASS