Error in running the examples in cuda-8.0.

[linrio]

Problem.

$cd /us/local/cuda-8.0/examples/
$sudo make

It returns the following errors:

cuda usr/bin/ld:cannot find -lnvcuvid
collect2: error: ld returned 1 exit status
Makefile:381: recipe for target 'cudaDecodeGL' failed 

Fixed.

1. vi ~/.bashrc
   adding following line into end:
   LD_LIBRARY_PATH=/usr/lib/nvidia-375:$LD_LIBRYARY_PATH
   check the LD_LIBRARY_PATH:
   echo $LD_LIBRARY_PATH:

2. $grep "nvidia-367" -r ./
   It return a series of ...-367... files
   Changing UBUNTU_PKG_NAME = "nvidia-367" To UBUNTU_PKG_NAME = "nvidia-375"

   $sudo sed -i "s/nvidia-367/nvidia-375/g" grep nvidia-367 -rl .``
   $sudo make

 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_60,code=compute_60 -o nvgraph_SemiRingSpmv nvgraph_SemiRingSpmv.o  -lnvgraph
mkdir -p ../../bin/x86_64/linux/release
cp nvgraph_SemiRingSpmv ../../bin/x86_64/linux/release
make[1]: Leaving directory `/usr/local/cuda-8.0/samples/7_CUDALibraries/nvgraph_SemiRingSpMV'
Finished building CUDA samples

全部编译完成后， 进入 samples/bin/x86_64/Linux/release, sudo下运行deviceQuery
sudo ./deviceQuery

  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 / 3 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
> Peer access from Graphics Device (GPU0) -> Graphics Device (GPU1) : Yes
> Peer access from Graphics Device (GPU1) -> Graphics Device (GPU0) : Yes

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 8.0, CUDA Runtime Version = 8.0, NumDevs = 2, Device0 = Graphics Device, Device1 = Graphics Device
Result = PASS

5.2 test example

$5_../
$./nbody

...
-hostmem (stores simulation data in host memory)
-benchmark (run benchmark to measure performance)
-numbodies= (number of bodies (>= 1) to run in simulation)
-device= (where d=0,1,2.... for the CUDA device to use)
-numdevices= (where i=(number of CUDA devices > 0) to use for simulation)
-compare (compares simulation results running once on the default GPU and once on the CPU)
-cpu (run n-body simulation on the CPU)
-tipsy=<file.bin> (load a tipsy model file for simulation)

NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled.

Windowed mode
Simulation data stored in video memory
Single precision floating point simulation
1 Devices used for simulation
Compute 6.1 CUDA device: [Graphics Device]