how to enable ECC on jetson TX1.

Hello all,

How can I enable ECC on Jetson TX1?
There is a description of LPDDR4 with internal ECC in Technical reference manual, but I can not find how to enable it.

root@tegra-ubuntu:~# /home/ubuntu/NVIDIA_CUDA-8.0_Samples/bin/aarch64/linux/release/deviceQuery
/home/ubuntu/NVIDIA_CUDA-8.0_Samples/bin/aarch64/linux/release/deviceQuery Starting...

 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          8.0 / 8.0
  CUDA Capability Major/Minor version number:    5.3
  Total amount of global memory:                 3995 MBytes (4188778496 bytes)
  ( 2) Multiprocessors, (128) CUDA Cores/MP:     256 CUDA Cores
  GPU Max Clock rate:                            998 MHz (1.00 GHz)
  Memory Clock rate:                             1600 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 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 = 8.0, CUDA Runtime Version = 8.0, NumDevs = 1, Device0 = NVIDIA Tegra X1
Result = PASS


Hi mino-m, Are you looking for ECC on GPU?

Hi vickyy
Thanks for the reply

I looking for how to enable to ECC on jetsonTX1.
I think Jetson TX1 have shared memory between the GPU and CPU.
Can only GPU set enable?

Hi mino-m,

LPDDR4 ECC feature is different to GPU ECC feature. Currently GPU ECC can’t be enabled on TX1.

Hi Trumany
Thanks for your answer.

I understood what ECC can not be enabled on Jetson TX1.