Xavier/JetPack 5.0.2/Components/Cuda

NVIDIA®Jetson Xavier™
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Video Capture and Display
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Reference Documentation
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CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA developers are able to dramatically speed up computing applications by harnessing the power of GPUs.

Device Capabilities

Capability	Value
CUDA Driver Version / Runtime Version	10.0 / 10.0
CUDA Capability Major/Minor version number	7.2
Total amount of global memory	15819 MBytes (16587702272 bytes)
( 8) Multiprocessors, ( 64) CUDA Cores/MP	512 CUDA Cores
GPU Max Clock rate	1500 MHz (1.50 GHz)
Memory Clock rate	1500 Mhz
Memory Bus Width	256-bit
L2 Cache Size	524288 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 number of registers available per block	65536
Warp size	32
Maximum number of threads per multiprocessor	2048
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)
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	No
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 Compute Preemption	Yes
Supports Cooperative Kernel Launch	Yes
Supports MultiDevice Co-op Kernel Launch	Yes
Device PCI Domain ID / Bus ID / location ID	0 / 0 / 0
Compute Mode	Default (multiple host threads can use ::cudaSetDevice() with device simultaneously)
CUDA Driver	CUDART

Build Device Query Tool

We obtained the properties of the CUDA devices present in the system using the deviceQuery example. In order to run it follow these steps:

1. Go to the sample's directory

cd /usr/local/cuda/samples/1_Utilities/deviceQuery

2. Construct the sample using the makefile

sudo make

3. Run the Binary

./deviceQuery

Samples

For a complete summary of the samples go to: https://developer.ridgerun.com/wiki/index.php?title=Xavier/GPU/Software_Support/CUDA