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Hi,
Please follow the commands and see if it works:
nvidia@tegra-ubuntu:~/cudaSample$ export PATH=/usr/local/cuda-13.0/bin:$PATH
nvidia@tegra-ubuntu:~/cudaSample$ export LD_LIBRARY_PATH=/usr/local/cuda-13.0/lib64:$LD_LIBRARY_PATH
nvidia@tegra-ubuntu:~/cudaSample$ git clone -b v13.0 https://github.com/NVIDIA/cuda-samples
Cloning into 'cuda-samples'...
remote: Enumerating objects: 30467, done.
remote: Counting objects: 100% (14707/14707), done.
remote: Compressing objects: 100% (1489/1489), done.
remote: Total 30467 (delta 13847), reused 13221 (delta 13218), pack-reused 15760
(from 2)
Receiving objects: 100% (30467/30467), 135.82 MiB | 1.55 MiB/s, done.
Resolving deltas: 100% (26511/26511), done.
Note: switching to '3f1c50965017932fc81e6d94a3fc9e04c105b312'.
You are in 'detached HEAD' state. You can look around, make experimental
changes and commit them, and you can discard any commits you make in this
state without impacting any branches by switching back to a branch.
If you want to create a new branch to retain commits you create, you may
do so (now or later) by using -c with the switch command. Example:
git switch -c <new-branch-name>
Or undo this operation with:
git switch -
Turn off this advice by setting config variable advice.detachedHead to false
nvidia@tegra-ubuntu:~/cudaSample$ cd cuda-samples/
nvidia@tegra-ubuntu:~/cudaSample/cuda-samples$ cd Samples/1_Utilities/deviceQuery
nvidia@tegra-ubuntu:~/cudaSample/cuda-samples/Samples/1_Utilities/deviceQuery$mkdir b
nvidia@tegra-ubuntu:~/cudaSample/cuda-samples/Samples/1_Utilities/deviceQuery$cd b
nvidia@tegra-ubuntu:~/cudaSample/cuda-samples/Samples/1_Utilities/deviceQuery/b$ cmake ..
-- The C compiler identification is GNU 13.3.0
-- The CXX compiler identification is GNU 13.3.0
-- The CUDA compiler identification is NVIDIA 13.0.48
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Detecting CUDA compiler ABI info
-- Detecting CUDA compiler ABI info - done
-- Check for working CUDA compiler: /usr/local/cuda-13.0/bin/nvcc - skipped
-- Detecting CUDA compile features
-- Detecting CUDA compile features - done
-- Found CUDAToolkit: /usr/local/cuda-13.0/targets/sbsa-linux/include (found version "13.0.48")
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
-- Found Threads: TRUE
-- Configuring done (1.7s)
-- Generating done (0.0s)
-- Build files have been written to: /home/nvidia/cudaSample/cuda-samples/Samples/1_Utilities/deviceQuery/b
nvidia@tegra-ubuntu:~/cudaSample/cuda-samples/Samples/1_Utilities/deviceQuery/b$ make
[ 50%] Building CXX object CMakeFiles/deviceQuery.dir/deviceQuery.cpp.o
[100%] Linking CXX executable deviceQuery
[100%] Built target deviceQuery
nvidia@tegra-ubuntu:~/cudaSample/cuda-samples/Samples/1_Utilities/deviceQuery/b$ ./deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "NVIDIA Thor"
CUDA Driver Version / Runtime Version 13.0 / 13.0
CUDA Capability Major/Minor version number: 11.0
Total amount of global memory: 125772 MBytes (131881820160 byt
es)
(020) Multiprocessors, (128) CUDA Cores/MP: 2560 CUDA Cores
GPU Max Clock rate: 1049 MHz (1.05 GHz)
Memory Clock rate: 0 Mhz
Memory Bus Width: 0-bit
L2 Cache Size: 33554432 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536)
, 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total shared memory per multiprocessor: 233472 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 1536
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 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: Yes
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device supports Managed Memory: Yes
Device supports Compute Preemption: Yes
Supports Cooperative Kernel Launch: Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 13.0, CUDA Runtime Version = 13.0, NumDevs = 1
Result = PASS
# export LD_LIBRARY_PATH=/usr/lib/aarch64-linux-gnu/nvidia:$LD_LIBRARY_PATH
# cd cuda-samples/Samples/1_Utilities/deviceQuery
# ./deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "NVIDIA Thor"
CUDA Driver Version / Runtime Version 13.0 / 13.0
CUDA Capability Major/Minor version number: 11.0
Total amount of global memory: 125772 MBytes (131881820160 bytes)
(020) Multiprocessors, (128) CUDA Cores/MP: 2560 CUDA Cores
GPU Max Clock rate: 1049 MHz (1.05 GHz)
Memory Clock rate: 0 Mhz
Memory Bus Width: 0-bit
L2 Cache Size: 33554432 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total shared memory per multiprocessor: 233472 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 1536
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 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: Yes
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device supports Managed Memory: Yes
Device supports Compute Preemption: Yes
Supports Cooperative Kernel Launch: Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 13.0, CUDA Runtime Version = 13.0, NumDevs = 1
Result = PASS