NVIDIA Jetson TX2模块参数
以下是通過CUDA例程deviceQuery得到的結果:
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "NVIDIA Tegra X2"
? CUDA Driver Version / Runtime Version ? ? ? ? ?8.0 / 8.0
? CUDA Capability Major/Minor version number: ? ?6.2
? Total amount of global memory: ? ? ? ? ? ? ? ? 7851 MBytes (8232058880 bytes)
? ( 2) Multiprocessors, (128) CUDA Cores/MP: ? ? 256 CUDA Cores
? GPU Max Clock rate: ? ? ? ? ? ? ? ? ? ? ? ? ? ?1301 MHz (1.30 GHz)
? Memory Clock rate: ? ? ? ? ? ? ? ? ? ? ? ? ? ? 1600 Mhz
? Memory Bus Width: ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?128-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: 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: ? ? ? ? ? ? ? ? ? ? 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 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 X2
Result = PASS
?
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