# Visual Profiler on Jetson Nano **URL:** \ **Category:** Jetson Nano\ **Created:** [November 27, 2020, 2:50pm UTC](https://forums.developer.nvidia.com/t/visual-profiler-on-jetson-nano/160596 "2020-11-27T14:50:50Z")\ **Posts on this page:** 5\ **Page:** 1
**Author:** ![rreddy78](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@rreddy78](https://forums.developer.nvidia.com/u/rreddy78)\ **Post date:** [November 27, 2020, 2:50pm UTC](https://forums.developer.nvidia.com/t/visual-profiler-on-jetson-nano/160596/1 "2020-11-27T14:50:51Z")
Hi all, I would like to know if I can get a standalone version of the Visual Profiler which I can run on the Jetson Nano. I dont have a host system for development. I only have jetson nano as host and target. I would like to import and analyze the metrics reported by nvprof. ``` --analysis-metrics Collect profiling data that can be imported to Visual Profiler's "analysis" mode. Note: Use "--export-profile" to specify an export file. ``` Thanks ---
**Author:** ![rreddy78](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@rreddy78](https://forums.developer.nvidia.com/u/rreddy78)\ **Post date:** [November 27, 2020, 3:27pm UTC](https://forums.developer.nvidia.com/t/visual-profiler-on-jetson-nano/160596/2 "2020-11-27T15:27:10Z")
Run into another problem: The command freezes the system: sudo /usr/local/cuda/bin/nvprof --export-profile profile.txt --analysis-metrics ./matrix\_mul\_gen\_tiled6 ! I cannot even collect performance metrics ? ---
**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\ **Post date:** [December 2, 2020, 2:47am UTC](https://forums.developer.nvidia.com/t/visual-profiler-on-jetson-nano/160596/4 "2020-12-02T02:47:53Z")
Hi, You can use _nvprof_ or _nsys_ on the Jetson platform directly. For example, _matrixMul_ example in our CUDA toolkit ```auto $ /usr/local/cuda-10.2/bin/cuda-install-samples-10.2.sh . $ cd NVIDIA_CUDA-10.2_Samples/0_Simple/matrixMul $ make ``` ```auto $ sudo /usr/local/cuda-10.2/bin/nvprof ./matrixMul [Matrix Multiply Using CUDA] - Starting... ==16817== NVPROF is profiling process 16817, command: ./matrixMul ==16817== Warning: Unified Memory Profiling is not supported on the underlying platform. System requirements for unified memory can be found at: http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#um-requirements GPU Device 0: "Maxwell" with compute capability 5.3 MatrixA(320,320), MatrixB(640,320) Computing result using CUDA Kernel... done Performance= 29.65 GFlop/s, Time= 4.420 msec, Size= 131072000 Ops, WorkgroupSize= 1024 threads/block Checking computed result for correctness: Result = PASS NOTE: The CUDA Samples are not meant for performancemeasurements. Results may vary when GPU Boost is enabled. ==16817== Profiling application: ./matrixMul ==16817== Profiling result: Type Time(%) Time Calls Avg Min Max Name GPU activities: 99.98% 1.32856s 301 4.4138ms 4.3783ms 4.4903ms void MatrixMulCUDA(float*, float*, float*, int, int) 0.01% 128.87us 2 64.433us 45.525us 83.341us [CUDA memcpy HtoD] 0.01% 88.444us 1 88.444us 88.444us 88.444us [CUDA memcpy DtoH] API calls: 72.87% 1.31418s 1 1.31418s 1.31418s 1.31418s cudaEventSynchronize 26.02% 469.30ms 3 156.43ms 979.34us 467.34ms cudaMalloc 0.69% 12.407ms 301 41.219us 31.094us 1.0969ms cudaLaunchKernel 0.26% 4.6541ms 2 2.3271ms 14.636us 4.6395ms cudaStreamSynchronize 0.12% 2.1583ms 3 719.42us 248.55us 1.4109ms cudaMemcpyAsync 0.03% 480.89us 3 160.30us 133.80us 209.22us cudaFree 0.01% 105.53us 97 1.0870us 572ns 24.949us cuDeviceGetAttribute 0.00% 62.137us 2 31.068us 25.105us 37.032us cudaEventRecord 0.00% 34.064us 1 34.064us 34.064us 34.064us cudaStreamCreateWithFlags 0.00% 27.761us 7 3.9650us 1.6670us 15.312us cudaDeviceGetAttribute 0.00% 13.125us 2 6.5620us 4.1150us 9.0100us cudaEventCreate 0.00% 10.156us 2 5.0780us 3.1250us 7.0310us cudaEventDestroy 0.00% 9.8440us 1 9.8440us 9.8440us 9.8440us cudaEventElapsedTime 0.00% 9.0110us 1 9.0110us 9.0110us 9.0110us cuDeviceTotalMem 0.00% 8.0730us 1 8.0730us 8.0730us 8.0730us cudaSetDevice 0.00% 6.7720us 3 2.2570us 1.2500us 3.4380us cuDeviceGetCount 0.00% 3.3850us 2 1.6920us 1.0410us 2.3440us cuDeviceGet 0.00% 2.3960us 1 2.3960us 2.3960us 2.3960us cuDeviceGetName 0.00% 1.5110us 1 1.5110us 1.5110us 1.5110us cudaGetDeviceCount 0.00% 937ns 1 937ns 937ns 937ns cuDeviceGetUuid ``` Thanks. ---
**Author:** ![rreddy78](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@rreddy78](https://forums.developer.nvidia.com/u/rreddy78)\ **Post date:** [December 7, 2020, 4:09pm UTC](https://forums.developer.nvidia.com/t/visual-profiler-on-jetson-nano/160596/5 "2020-12-07T16:09:01Z")
Thanks.I was hoping for the visual profiler tool. But in any case the nvprof tool says : Warning: Unified Memory Profiling is not supported So can I believe the metrics related to memory like gld efficiency or gld throughput. Sometimes I see strange values… ---
**Author:** ![nadeemm](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/nadeemm/32/367020_2.png) [@nadeemm](https://forums.developer.nvidia.com/u/nadeemm)\ **Post date:** [October 14, 2021, 9:59pm UTC](https://forums.developer.nvidia.com/t/visual-profiler-on-jetson-nano/160596/7 "2021-10-14T21:59:34Z")