Jetson Nano Cheatsheet

Below are my personal notes related to the Nvidia Jetson Nano Dev-board.

Performance Management

Nvidia allows your to fine tune the performance of your Jetson nano. More on this here.

Show the current settings

sudo /usr/bin/jetson_clocks.sh --show

Maximize the CPU, GPU and EMC clock rates. FULL POWAH.

sudo /usr/bin/jetson_clocks.sh

External Fan

Nvidia recommends the Noctura NF-A4x20 5v fan. Ensure you are buying the 5 volt and not its 12 volt brother.

Enabling Fan

sudo sh -c 'echo 255 > /sys/devices/pwm-fan/target_pwm'

Disabling Fan

sudo sh -c 'echo 0 > /sys/devices/pwm-fan/target_pwm'

Docker

Testing GPU Capabilities in Docker

docker run \
  --device=/dev/nvhost-ctrl \
  --device=/dev/nvhost-ctrl-gpu \
  --device=/dev/nvhost-prof-gpu \
  --device=/dev/nvmap --device=/dev/nvhost-gpu \
  --device=/dev/nvhost-as-gpu \
  -v /usr/lib/aarch64-linux-gnu/tegra:/usr/lib/aarch64-linux-gnu/tegra
  bgulla/nvidia-device_query:latest

Outputs

 CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "NVIDIA Tegra X1"
  CUDA Driver Version / Runtime Version          10.0 / 10.0
  CUDA Capability Major/Minor version number:    5.3
  Total amount of global memory:                 3957 MBytes (4148756480 bytes)
  ( 1) Multiprocessors, (128) CUDA Cores/MP:     128 CUDA Cores
  GPU Max Clock rate:                            922 MHz (0.92 GHz)
  Memory Clock rate:                             13 Mhz
  Memory Bus Width:                              64-bit
  L2 Cache Size:                                 262144 bytes
  Maximum Texture Dimension Size (x,y,z)         1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
  Maximum Layered 1D Texture Size, (num) layers  1D=(16384), 2048 layers
  Maximum Layered 2D Texture Size, (num) layers  2D=(16384, 16384), 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: 32768
  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)
  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 Compute Preemption:            No
  Supports Cooperative Kernel Launch:            No
  Supports MultiDevice Co-op Kernel Launch:      No
  Device PCI Domain ID / Bus ID / location ID:   0 / 0 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.0, CUDA Runtime Version = 10.0, NumDevs = 1
Result = PASS

More info here

Replacing Ubuntu-desktop with Lubuntu (save 1GB of RAM)

Link

Monitoring

jtop, like top/htop but with jetson-specific goodness like gpu & temp monitoring. link

bgulla/jetson_nano_cheatsheet.md