$ nvcc -arch=sm_75 -rdc=true hello_world.cu -o hello -lcudadevrt 也可以先将 CUDA 程序的 .cu 源文件编译为目标文件,然后将它们链接在一起: $ nvcc -arch=sm_75 -dc hello_world.cu -o hello_world.o $ nvcc -arch=sm_75 -rdc=true hello_world.o -o hello -lcudadevrt 总的来说,本...
用以下命令选择单精度浮点数编译: $nvcc-O3-arch=sm_75add_gpu.cu C++程序的性能显著依赖于优化选项,因此总是用-O3选项。而-arch=sm_75是指定计算能力编译,这里指定的是RTX 2070对应的计算能力。如果要使用双精度浮点数,则为: $nvcc-O3-arch=sm_75-DUSE_UPadd_gpu.cu 两者的可执行文件运行结果如下: 可...
-arch=sm_50 -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_52,code=sm_52 -gencode=arch=compute_60,code=sm_60 \-gencode=arch=compute_61,code=sm_61 -gencode=arch=compute_70,code=sm_70 \-gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_75,code=compute_75 2....
CUTLASS 3.8 is the first release that supports the NVIDIA Blackwell SM100 architecture. For a background on Blackwell's new features, please consult the PTX documentation for CUDA 12.8. Support for new CuTe building blocks specifically for Blackwell SM100 architecture: ...
cppset(CMAKE_CUDA_ARCHITECTURES "compute_75,code=sm_75")同样，NVIDIA L40 GPU（Compute Capability 8.9）的编译应使用sm_89。在CMake中，配置为：cppset(CMAKE_CUDA_ARCHITECTURES "compute_89,code=sm_89")值得注意的是，PTX和SASS是GPU编程中的两种代码类型，它们分别对应不同的执行层次和优化...
-gencode=arch=compute_61,code=sm_61 \-gencode=arch=compute_70,code=sm_70 \-gencode=arch=compute_75,code=sm_75 \-gencode=arch=compute_75,code=compute_75在CUDA 11.0上生成的示例标志以最大程度地兼容V100 和 T4 图灵卡:-arch=sm_52 \-gencode=arch=compute_52,code=sm_52 \-gencode=arch...
计算能力8.0,有时候也叫80,sm_80,7.5有的叫75,sm_75等等,类似。 显卡架构和cuda版本关系: https://blog.csdn.net/shaojie_wang/article/details/121117277 所有版本cudatoolkit下载: https://developer.nvidia.com/cuda-toolkit-archive cuda和显卡驱动也有对应关系,这个关系是:一个驱动有最高支持的cuda版本,一个...
detected: 10.1 Added CUDA NVCC flags for: sm_75 cuDNN not found Could NOT find GFlags (missing: GFLAGS_INCLUDE_DIR GFLAGS_LIBRARY) Could NOT find Glog (missing: GLOG_INCLUDE_DIR GLOG_LIBRARY) CMake Error at /usr/share/cmake-3.16/Modules/FindPackageHandleStandardArgs.cmake:146 (message):...
code=sm_62 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_72,code=sm_72 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_87,code=sm_87 -gencode arch=compute_90,code=sm_90 -gencode ...
$ cuobjdump a.out -lelf ELF file 1: add_new.sm_70.cubin ELF file 2: add_new.sm_75.cubin ELF file 3: add_old.sm_70.cubin ELF file 4: add_old.sm_75.cubin To extract all the cubins as files from the host binary use -xelf all option: $ cuobjdump a.out -xelf all Extracti...