abduld/libwb — pull request #6 by jbzdak (2014-01-12 20:02:14+00:00)
Title: Fix to cmake lists

My problem was that cuda was not working (well I mean --- kernell call just wouldn't run) after a time I boiled it down to cryptic error:

```
{
"level":"Error",
"message":"invalid device function cudaGetLastError()",
"file":"/home/.../libwb/skel/mp2.cu",
"function":"main",
"line":105,
"time":5665866836884
}
```

Which got me to a a udacity post that something is wrong with NVCC_OPTS, and that `nvcc` can guess all options by itself.

I guess that these options had some reason to be specified, and removing it might not be an option, if so please add a line so my device is also covered (thus helping other people).

Anyways my `deviceQuery` returns:

```
Device 0: "Quadro K2000M"
CUDA Driver Version / Runtime Version 5.5 / 4.2
CUDA Capability Major/Minor version number: 3.0
Total amount of global memory: 2047 MBytes (2146762752 bytes)
( 2) Multiprocessors x (192) CUDA Cores/MP: 384 CUDA Cores
GPU Clock rate: 745 MHz (0.75 GHz)
Memory Clock rate: 900 Mhz
Memory Bus Width: 128-bit
L2 Cache Size: 262144 bytes
Max Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536,65536), 3D=(4096,4096,4096)
Max Layered Texture Size (dim) x layers 1D=(16384) x 2048, 2D=(16384,16384) x 2048
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
Maximum sizes of each dimension of a block: 1024 x 1024 x 64
Maximum sizes of each dimension of a grid: 2147483647 x 65535 x 65535
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 1 copy engine(s)
Run time limit on kernels: Yes
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 Bus ID / PCI location ID: 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

```