AGX Xavier CUDA question

Robotics & Edge Computing Jetson & Embedded Systems Jetson AGX Xavier
1

I ran into a problem when deploying part of the Autoware code to AGX Xaiver (Jetpack 4.2.3)
I tested the same code on my 980M GPU (CUDA 10) and it works fine.

#include <cuda.h>
#include <cuda_runtime.h>

#define CUDAH forceinline host device
#define BLOCK_SIZE_X 1024
#define BLOCK_SIZE_X2 512
#define BLOCK_SIZE_X3 256

#define BLOCK_X 16
#define BLOCK_Y 16
#define BLOCK_Z 4

#define SHARED_MEM_SIZE 3072
#endif

Can I ask would the above BLOCK_SIZE and BLOCK_X/Y/Z settings be ok for AGX Xavier’s tegra GPU?

Bruce
Thank you

5

Hi,

You can get the CUDA detailed information with our deviceQuery example:
(located at /usr/local/cuda-10.2/samples/1_Utilities/deviceQuery)

./deviceQuery Starting...

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

Detected 1 CUDA Capable device(s)

Device 0: "Xavier"
  CUDA Driver Version / Runtime Version          10.2 / 10.2
  CUDA Capability Major/Minor version number:    7.2
  Total amount of global memory:                 15817 MBytes (16584974336 bytes                                                                                                             )
  ( 8) Multiprocessors, ( 64) CUDA Cores/MP:     512 CUDA Cores
  GPU Max Clock rate:                            1377 MHz (1.38 GHz)
  Memory Clock rate:                             1377 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)
  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 simu                                                                                                             ltaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.2, CUDA Runtime Vers                                                                                                             ion = 10.2, NumDevs = 1
Result = PASS

Thanks.