我在尝试编译CUDA程序时收到以下消息:
/ usr/bin/ld:找不到-lcudart
从来没有遇到过这种错误.我的PATH有问题吗?
这是编译命令:
gfortran -g -O2 -ffree-line-length-none -I ../ shared/-o ../../bin/xspecfem3D ../../obj/spec/program_specfem3D.o ../../ obj/spec/specfem3D_par.o ../../obj/spec/PML_init.o ../../obj/spec/compute_boundary_kernel.o ../../obj/spec/compute_kernels.o ../. ./obj/spec/compute_forces_acoustic.o ../../obj/spec/compute_forces_acoustic_pot.o ../../obj/spec/compute_forces_acoustic_PML.o ../../obj/spec/compute_forces_elastic.o .. /../obj/spec/compute_forces_elastic_Dev.o ../../obj/spec/compute_forces_elastic_noDev.o ../../obj/spec/compute_forces_elastic_Dev_openmp.o ../../obj/spec/compute_add_sources_acoustic.o ../../obj/spec/compute_add_sources_elastic.o ../../obj/spec/compute_coupling_acoustic_el.o ../../obj/spec/compute_coupling_elastic_ac.o ../../obj/spec/compute_stacey_acoustic .o ../../obj/spec/compute_stacey_elastic.o ../../obj/spec/compute_gradient.o ../../obj/spec/compute_interpolated_dva.o ../../obj/spec /initialize_simulation.o ../../obj/spec/read_mesh_databases.o ../../obj/spec/setup_GLL_point 所以../../obj/spec/write_movie_output.o ../../obj/spec/create_color_image.o ../../obj/spec/write_seismograms.o ../../obj/spec/ write_output_ASCII.o ../../obj/spec/detect_mesh_surfaces.o ../../obj/spec/setup_movie_meshes.o ../../obj/spec/read_topography_bathymetry.o ../../obj/ spec/setup_sources_receivers.o ../../obj/spec/prepare_timerun.o ../../obj/spec/iterate_time.o ../../obj/spec/finalize_simulation.o ../../ obj/spec/save_adjoint_kernels.o ../../obj/spec/specfem3D.o ../../obj/spec/assemble_MPI_vector.o ../../obj/spec/make_gravity.o ../. ./obj/spec/noise_tomography.o ../../lib/libspecfem.a ../../obj/spec/check_fields_cuda.cuda.o ../../obj/spec/compute_add_sources_acoustic_cuda.cuda.o ../../obj/spec/compute_add_sources_elastic_cuda.cuda.o ../../obj/spec/compute_coupling_cuda.cuda.o ../../obj/spec/compute_forces_acoustic_cuda.cuda.o ../ .. /obj/spec/compute_forces_elastic_cuda.cuda.o ../../obj/spec/compute_kernels_cuda.cuda.o ../../obj/spec/compute_stacey_acoustic_cuda.cuda.o ../../obj/spec/ compute_stacey_elastic_cuda.cuda.o ../../obj/spec/it_update_displacement_cuda.cuda.o ../../obj/spec/noise_tomography_cuda.cuda.o ../../obj/spec/prepare_mesh_constants_cuda.cuda.o ../../obj/spec/transfer_fields_cuda.cuda.o ../../obj/spec/write_seismograms_cuda.cuda.o ../../obj/spec/save_and_compare_cpu_vs_gpu.cudacc.o ../ .. /obj/spec/serial.o -lcuda -lcudart -lcublas
/ usr/bin/ld:找不到-lcudart
collect2:ld返回1退出状态
编辑:
我已将连接命令更改为
gfortran -g -O2 -ffree-line-length-none -I ../ shared/-L $ CUDA_HOME/lib [rest following]
我所有的PATH似乎都没问题,但我仍然有同样的错误.
EDIT2:
错误是我试图编译的代码是64位,所以我需要给路径一个不同的.so的集合,它们位于
在/ usr /本地/ CUDA/lib64下
现在编译运行良好,没有任何问题.
您没有为链接器指定CUDA库的位置,这就是链接失败的原因.nvcc"自动"配置以查找CUDA运行时库组件,但如果直接与主机编译器链接,则需要向编译器显式指定它们的位置.尝试将链接命令更改为:
gfortran -g -O2 -ffree-line-length-none -I../shared/ -L$CUDA_HOME/lib [rest follows]
Run Code Online (Sandbox Code Playgroud)
where CUDA_HOME表示安装CUDA工具包的路径.通常这是/usr/local/cuda在Linux和OS X系统上.然后,您需要确保LD_LIBRARY_PATH包含一个条目,$CUDA_HOME/lib以便可执行文件在运行时动态加载所需的CUDA库.
编辑:
也看到这个
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