Hi, I wanted to see if GPUmat will work with the new GTX Titan:
Device 0: "GeForce GTX TITAN"
CUDA Capability Major revision number: 3
CUDA Capability Minor revision number: 5
Total amount of global memory: 2147287040 bytes
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 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
Clock rate: 0.88 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)
When I run GPUstart, I get the error:
Unable to recognize the GPU CUDA capability
It works fine if I use my secondary GPU, a "Quadro 600". I'm guessing it just doesn't recognize the newer 3.5 compute capability. Can this be corrected?
Thank you.
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Unfortunately GPUmat was compiled for CUDA 5.0 and we basically stopped any support for other CUDA version because we don't have the resources to do it. But you can compile the source code if you want.
Instructions to compile the source code:
You need to download a SVN client and then from command line:
Hi, I wanted to see if GPUmat will work with the new GTX Titan:
Device 0: "GeForce GTX TITAN"
CUDA Capability Major revision number: 3
CUDA Capability Minor revision number: 5
Total amount of global memory: 2147287040 bytes
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 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
Clock rate: 0.88 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)
When I run GPUstart, I get the error:
Unable to recognize the GPU CUDA capability
It works fine if I use my secondary GPU, a "Quadro 600". I'm guessing it just doesn't recognize the newer 3.5 compute capability. Can this be corrected?
Thank you.
Unfortunately GPUmat was compiled for CUDA 5.0 and we basically stopped any support for other CUDA version because we don't have the resources to do it. But you can compile the source code if you want.
Instructions to compile the source code:
You need to download a SVN client and then from command line:
svn export http://svn.code.sf.net/p/gpumat/code/trunk ./GPUmat
the above command creates a folder ./GPUmat with the source code.
Then go to the 'doc' folder, open the GPUmat_Developer_Guide.pdf and
check the chapter "Source code compilation"