Upgrade Cuda from 7.x to 8.0 on Ubuntu

1.  remove cuda 7.x version (x depends on what you installed.)

rm /usr/local/cuda-7.x

2. make sure PATH and LD_LIBRARY_PATH no longer contain “/usr/local/cuda-7.x”. Possible places to look at are /etc/environment, ~/.profile, /etc/bash.bashrc, /etc/profile, ~/.bash_rc

If you really don’t know where cuda path is added to PATH or LD_LIBRARY_PATH, try to check here: https://unix.stackexchange.com/questions/813/how-to-determine-where-an-environment-variable-came-from

3. cuda 8.0 only supports Ubuntu 14.04 and 16.04. Therefore, do system upgrade if necessary. Ref: https://askubuntu.com/questions/760347/how-to-upgrade-from-14-04-lts-or-15-10-to-16-04-from-terminal

4. install cuda-8.0 toolkit. Go to here: https://developer.nvidia.com/cuda-downloads and download some file type you prefer. Perhaps .deb file can lead you to install via Software Center, which is not a bad idea.

5. to verify cuda 8.0 has been installed:

cd /usr/local/cuda-8.0/samples/
make
cd /usr/local/cuda-8.0/samples/1_Utilities/deviceQuery
./deviceQuery

You should see:

./deviceQuery Starting...

 CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "GeForce GT 640M"
  CUDA Driver Version / Runtime Version          8.0 / 8.0
  CUDA Capability Major/Minor version number:    3.0
  Total amount of global memory:                 1999 MBytes (2096300032 bytes)
  ( 2) Multiprocessors, (192) CUDA Cores/MP:     384 CUDA Cores
  GPU Max Clock rate:                            709 MHz (0.71 GHz)
  Memory Clock rate:                             2000 Mhz
  Memory Bus Width:                              128-bit
  L2 Cache Size:                                 262144 bytes
  Maximum Texture Dimension Size (x,y,z)         1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
  Maximum Layered 1D Texture Size, (num) layers  1D=(16384), 2048 layers
  Maximum Layered 2D Texture Size, (num) layers  2D=(16384, 16384), 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 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):      Yes
  Device PCI Domain ID / Bus ID / location ID:   0 / 1 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 8.0, CUDA Runtime Version = 8.0, NumDevs = 1, Device0 = GeForce GT 640M
Result = PASS

Also, you can go to `/usr/local/cuda-8.0/samples/bin` and run any generated test program you want.

(if make has “cannot find -lnvcuvid” error, follow as here: https://askubuntu.com/questions/889218/testing-cuda-in-ubuntu-16-04-usr-bin-ld-cannot-find-lnvcuvid)

ref: http://xcat-docs.readthedocs.io/en/stable/advanced/gpu/nvidia/verify_cuda_install.html

 

6. follow https//nb4799.neu.edu/wordpress/?p=2572 to set up LD_LIBRARY_PATH and CUDA_HOME

 

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