Hi,
I have a .cu file, which I have compiled using nvcc. Now I want to have a deeper understanding of how the program is actually interacting with the hardware. Therefore I suppose CUDA VISUAL PROFILER will help me here. Can anybody tell me the commands that we use for using profiler on my .cu file.
Also, can we use CUDA VISUAL PROFILER in emulation mode?
Thanks
Build the CUDA program executable.
Run CUDA Visual Profiler & select your program. After the program execution completes the profiler output will be displayed in the Visual Profiler. Look at the CUDA Visual Profiler document ‘cudaprof.html’ for details.
You cannot use CUDA Visual Profiler in emulation mode.
Thanks for your reply satoor!!
I have sent you a PM.
its not show output please help
=== Start profiling for session ‘Session1’ ===
Start program ‘/home/bibrak/NVIDIA_GPU_Computing_SDK/C/bin/linux/release/deviceQuery’ run #1 …
CUDA Device Query (Runtime API) version (CUDART static linking)
There is 1 device supporting CUDA
Device 0: “GeForce 9200M GE”
CUDA Driver Version: 2.30
CUDA Runtime Version: 2.30
CUDA Capability Major revision number: 1
CUDA Capability Minor revision number: 1
Total amount of global memory: 267714560 bytes
Number of multiprocessors: 1
Number of cores: 8
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 16384 bytes
Total number of registers available per block: 8192
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: 262144 bytes
Texture alignment: 256 bytes
Clock rate: 1.30 GHz
Concurrent copy and execution: No
Run time limit on kernels: Yes
Integrated: No
Support host page-locked memory mapping: No
Compute mode: Default (multiple host threads can use this device simultaneously)
Test PASSED
Press ENTER to exit…
Program run #1 was aborted after maximum program execution time duration of 10 seconds.
Start program ‘/home/bibrak/NVIDIA_GPU_Computing_SDK/C/bin/linux/release/deviceQuery’ run #2 …
CUDA Device Query (Runtime API) version (CUDART static linking)
There is 1 device supporting CUDA
Device 0: “GeForce 9200M GE”
CUDA Driver Version: 2.30
CUDA Runtime Version: 2.30
CUDA Capability Major revision number: 1
CUDA Capability Minor revision number: 1
Total amount of global memory: 267714560 bytes
Number of multiprocessors: 1
Number of cores: 8
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 16384 bytes
Total number of registers available per block: 8192
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: 262144 bytes
Texture alignment: 256 bytes
Clock rate: 1.30 GHz
Concurrent copy and execution: No
Run time limit on kernels: Yes
Integrated: No
Support host page-locked memory mapping: No
Compute mode: Default (multiple host threads can use this device simultaneously)
Test PASSED
Press ENTER to exit…
Program run #2 was aborted after maximum program execution time duration of 10 seconds.
Start program ‘/home/bibrak/NVIDIA_GPU_Computing_SDK/C/bin/linux/release/deviceQuery’ run #3 …
CUDA Device Query (Runtime API) version (CUDART static linking)
There is 1 device supporting CUDA
Device 0: “GeForce 9200M GE”
CUDA Driver Version: 2.30
CUDA Runtime Version: 2.30
CUDA Capability Major revision number: 1
CUDA Capability Minor revision number: 1
Total amount of global memory: 267714560 bytes
Number of multiprocessors: 1
Number of cores: 8
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 16384 bytes
Total number of registers available per block: 8192
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: 262144 bytes
Texture alignment: 256 bytes
Clock rate: 1.30 GHz
Concurrent copy and execution: No
Run time limit on kernels: Yes
Integrated: No
Support host page-locked memory mapping: No
Compute mode: Default (multiple host threads can use this device simultaneously)
Test PASSED
Press ENTER to exit…
Program run #3 was aborted after maximum program execution time duration of 10 seconds.
Start program ‘/home/bibrak/NVIDIA_GPU_Computing_SDK/C/bin/linux/release/deviceQuery’ run #4 …
CUDA Device Query (Runtime API) version (CUDART static linking)
There is 1 device supporting CUDA
Device 0: “GeForce 9200M GE”
CUDA Driver Version: 2.30
CUDA Runtime Version: 2.30
CUDA Capability Major revision number: 1
CUDA Capability Minor revision number: 1
Total amount of global memory: 267714560 bytes
Number of multiprocessors: 1
Number of cores: 8
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 16384 bytes
Total number of registers available per block: 8192
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: 262144 bytes
Texture alignment: 256 bytes
Clock rate: 1.30 GHz
Concurrent copy and execution: No
Run time limit on kernels: Yes
Integrated: No
Support host page-locked memory mapping: No
Compute mode: Default (multiple host threads can use this device simultaneously)
Test PASSED
Press ENTER to exit…
Program run #4 was aborted after maximum program execution time duration of 10 seconds.
Error in reading profiler output.
Is there an newer Version for Mac OS X also available ?