0.引言
瞭解自己的GPU參數很重要.
1.Detect
在sample裏面編譯deviceQuery查看。CMakeLists.txt添加(/usr/local/cuda-10.1/samples/common/inc/)
不然有些頭文件無法找到.
CMakeLists.txt
cmake_minimum_required(VERSION 2.8)
project(deviceQuery)
# packages
find_package(CUDA REQUIRED)
if(${CUDA_FOUND})
set(CUDA_SOURCE_PROPERTY_FORMAT OBJ)
set(CUDA_SEPARABLE_COMPILATION ON)
include_directories(${CUDA_INCLUDE_DIRS})
set(CUDA_PROPAGATE_HOST_FLAGS OFF)
set(CUDA_NVCC_FLAGS -arch=sm_61;-O3;-G;-g;-std=c++11)#根據具體GPU性能更改算力參數
#SET(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS};-gencode arch=compute_61,code=sm_61;-std=c++11;-O3;-G;-g)
link_directories($ENV{CUDA_PATH}/lib/x64)
else(${CUDA_FOUND})
MESSAGE(STATUS "cuda not found!")
endif(${CUDA_FOUND})
find_package(OpenCV REQUIRED)
include_directories(${OpenCV_INCLUDE_DIRS}
/usr/local/cuda-10.1/samples/common/inc/)#主要就是添加這一句
file(GLOB_RECURSE CURRENT_HEADERS *.h *.hpp *.cuh)
file(GLOB CURRENT_SOURCES *.cpp *.cu)
set_source_files_properties(deviceQuery.cpp PROPERTIES CUDA_SOURCE_PROPERTY_FORMAT OBJ)
source_group("Include" FILES ${CURRENT_HEADERS})
source_group("Source" FILES ${CURRENT_SOURCES})
cuda_add_executable(deviceQuery ${CURRENT_HEADERS} ${CURRENT_SOURCES} )
target_link_libraries(deviceQuery ${OpenCV_LIBS})
2.result
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "GeForce GTX 1050"
CUDA Driver Version / Runtime Version 10.1 / 10.1
CUDA Capability Major/Minor version number: 6.1
Total amount of global memory: 1992 MBytes (2089025536 bytes)
( 5) Multiprocessors, (128) CUDA Cores/MP: 640 CUDA Cores
GPU Max Clock rate: 1455 MHz (1.46 GHz)
Memory Clock rate: 3504 Mhz
Memory Bus Width: 128-bit
L2 Cache Size: 1048576 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 2 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
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 / 7 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.1, CUDA Runtime Version = 10.1, NumDevs = 1
Result = PASS