NVIDIA Xavier - JetPack 5.0.2 - Components - Cuda

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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



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