I have a NVIDIA Quadro NVS 160M. I know that it's a pretty old GPU. helloworld_cuda works though. What could be the problem?
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$ ./helloworld_ocl
ArrayFire v2.0.RC1 (OpenCL, 64-bit Linux, build b1809d9)
License: Standalone (/opt/arrayfire/2.0/arrayfire.lic)
Platform: NVIDIA CUDA, Driver: 319.37
[0]: Quadro NVS 160M, 255 MB, OpenCL Version: 1.0
create a 5-by-3 matrix of random floats on the GPU
src/opencl/rand.cpp:39: _err -45
src/opencl/rand.cpp:39: src/opencl/rand.cpp:39 Error(-45)
terminate called after throwing an instance of 'af::exception'
Aborted
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$ ./helloworld_cuda
ArrayFire v2.0.RC1 (CUDA, 64-bit Linux, build b1809d9)
License: Standalone (/opt/arrayfire/2.0/arrayfire.lic)
Platform: CUDA toolkit 5.5, Driver: 319.37
0 : Quadro NVS 160M, 256 MB, CUDA Compute 1.1 (single)
Memory Usage: 99 MB free (256 MB total)
create a 5-by-3 matrix of random floats on the GPU
A =
0.7402 0.4464 0.7762
0.9210 0.6673 0.2948
0.0390 0.1099 0.7140
0.9690 0.4702 0.3585
0.9251 0.5132 0.6814
element-wise arithmetic
B =
0.7744 0.5317 0.8006
0.8962 0.7189 0.3905
0.1390 0.2097 0.7549
0.9243 0.5531 0.4509
0.8987 0.5910 0.7299
Fourier transform the result
C =
3.6327 + 0.0000i 2.6043 + 0.0000i 3.1267 + 0.0000i
0.4689 + 0.4640i 0.3193 + 0.0802i 0.1713 + 0.1441i
-0.3491 - 0.7454i -0.2923 - 0.4018i 0.2667 + 0.4886i
-0.3491 + 0.7454i -0.2923 + 0.4018i 0.2667 - 0.4886i
0.4689 - 0.4640i 0.3193 - 0.0802i 0.1713 - 0.1441i
grab last row
c =
0.4689 - 0.4640i 0.3193 - 0.0802i 0.1713 - 0.1441i
zero out every other column
negate the first three elements of middle column
B =
0.0000 -0.5317 0.0000
0.0000 -0.7189 0.0000
0.0000 -0.2097 0.0000
0.0000 0.5531 0.0000
0.0000 0.5910 0.0000
create 2-by-3 matrix from host data
D =
1.0000 3.0000 5.0000
2.0000 4.0000 6.0000
copy last column onto first
D =
5.0000 3.0000 5.0000
6.0000 4.0000 6.0000
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$ ./clinfo
Number of platforms: 1
Platform Profile: FULL_PROFILE
Platform Version: OpenCL 1.1 CUDA 4.2.1
Platform Name: NVIDIA CUDA
Platform Vendor: NVIDIA Corporation
Platform Extensions: cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll
Platform Name: NVIDIA CUDA
Number of devices: 1
Device Type: CL_DEVICE_TYPE_GPU
Device ID: 4318
Max compute units: 1
Max work items dimensions: 3
Max work items[0]: 512
Max work items[1]: 512
Max work items[2]: 64
Max work group size: 512
Preferred vector width char: 1
Preferred vector width short: 1
Preferred vector width int: 1
Preferred vector width long: 1
Preferred vector width float: 1
Preferred vector width double: 0
Native vector width char: 1
Native vector width short: 1
Native vector width int: 1
Native vector width long: 1
Native vector width float: 1
Native vector width double: 0
Max clock frequency: 1450Mhz
Address bits: 32
Max memory allocation: 134217728
Image support: Yes
Max number of images read arguments: 128
Max number of images write arguments: 8
Max image 2D width: 4096
Max image 2D height: 16383
Max image 3D width: 2048
Max image 3D height: 2048
Max image 3D depth: 2048
Max samplers within kernel: 16
Max size of kernel argument: 4352
Alignment (bits) of base address: 2048
Minimum alignment (bytes) for any datatype: 128
Single precision floating point capability
Denorms: No
Quiet NaNs: Yes
Round to nearest even: Yes
Round to zero: Yes
Round to +ve and infinity: Yes
IEEE754-2008 fused multiply-add: Yes
Cache type: None
Cache line size: 0
Cache size: 0
Global memory size: 268107776
Constant buffer size: 65536
Max number of constant args: 9
Local memory type: Scratchpad
Local memory size: 16384
Kernel Preferred work group size multiple: 32
Error correction support: 0
Unified memory for Host and Device: 0
Profiling timer resolution: 1000
Device endianess: Little
Available: Yes
Compiler available: Yes
Execution capabilities:
Execute OpenCL kernels: Yes
Execute native function: No
Queue properties:
Out-of-Order: Yes
Profiling : Yes
Platform ID: 0x00000000011bdfc0
Name: Quadro NVS 160M
Vendor: NVIDIA Corporation
Device OpenCL C version: OpenCL C 1.0
Driver version: 319.37
Profile: FULL_PROFILE
Version: OpenCL 1.0 CUDA
Extensions: cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics
