tz@tz-dt:~/DSMC$ make
g++ -fPIC -o dsmcsg dsmcsg_main.o dsmcsg_class.o dsmcsg_init.o dsmcsg_output.o dsmcsg_readfile.o dsmcsg_cudafunction.o scanLargeArray_kernel.o -L/usr/local/cuda/lib64 -lcudart
/usr/bin/ld: cannot find -lcudart
collect2: ld returned 1 exit status
make: *** [dsmcsg] Error 1
what is -lcudart?
I can not find more info on Internet about it.
Need help to fix it.
Thanks a lot!
=================================================================================== deviceQuery & bandwidthTest is OK
tz@tz-dt:~/NVIDIA_CUDA-5.0_Samples/1_Utilities/deviceQuery$ ./deviceQuery ./deviceQuery Starting…
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: “GeForce GT 640” CUDA Driver Version / Runtime Version 5.0 / 5.0 CUDA Capability Major/Minor version number: 3.0
Total amount of global memory: 2047 MBytes (2146762752 bytes)
( 2) Multiprocessors x (192) CUDA Cores/MP: 384 CUDA Cores
GPU Clock rate: 1046 MHz (1.05 GHz)
Memory Clock rate: 900 Mhz
Memory Bus Width: 128-bit
L2 Cache Size: 262144 bytes
Max Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536,65536), 3D=(4096,4096,4096)
Max Layered Texture Size (dim) x layers 1D=(16384) x 2048, 2D=(16384,16384) x 2048
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
Maximum sizes of each dimension of a block: 1024 x 1024 x 64
Maximum sizes of each dimension of a grid: 2147483647 x 65535 x 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: 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): No
Device PCI Bus ID / PCI location ID: 2 / 0
Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 5.0, CUDA Runtime Version = 5.0, NumDevs = 1, Device0 = GeForce GT 640
1:“lcudart” ,it seems to be CUDA RUNTIME (library) something like this.
2:You can run deviceQuery and bandwitch Test successfully,that means your drivers,toolkit and all software environment are installed correctly.
3:I think you may reconfig your project to slove this problem,because CUDA 5.0 may change the path of the library.
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: “GeForce GT 640”
CUDA Driver Version / Runtime Version 5.0 / 5.0
CUDA Capability Major/Minor version number: 3.0
Total amount of global memory: 2047 MBytes (2146762752 bytes)
( 2) Multiprocessors x (192 )CUDA Cores/MP: 384 CUDA Cores