How to manage different versions of CUDA, CuDNN and Nvidia Drivers?
I have recently update GPU in my PC, running Ubuntu 14.04
I'm trying to run some benchmarks with Caffe, but they will strongly depend on version of CUDA, CuDNN and Nvidia Drivers.
Is there any option to manage different versions CUDA, CuDNN and Nvidia Drivers?
Will different versions interfere with each other?
Is it possible to switch between versions?
Installed Nvidia drivers:
apt-cache search nvidia | grep version
nvidia-173 - NVIDIA legacy binary driver - version 173.14.39
nvidia-304 - NVIDIA legacy binary driver - version 304.131
nvidia-304-updates - NVIDIA legacy binary driver - version 304.131
nvidia-340 - NVIDIA binary driver - version 340.96
nvidia-340-updates - NVIDIA binary driver - version 340.96
nvidia-352-updates - NVIDIA binary driver - version 352.63
nvidia-352 - NVIDIA binary driver - version 352.79
nvidia-355 - NVIDIA binary driver - version 355.11
nvidia-358 - NVIDIA binary driver - version 358.16
nvidia-361 - NVIDIA binary driver - version 361.45.18
nvidia-364 - NVIDIA binary driver - version 364.19
nvidia-367 - NVIDIA binary driver - version 367.44
nvidia-370 - NVIDIA binary driver - version 370.23
14.04 cuda gpu gpu-drivers
asked Aug 27 '16 at 13:23
mrgloommrgloom
3482617
add a comment |
I have recently update GPU in my PC, running Ubuntu 14.04
I'm trying to run some benchmarks with Caffe, but they will strongly depend on version of CUDA, CuDNN and Nvidia Drivers.
Is there any option to manage different versions CUDA, CuDNN and Nvidia Drivers?
Will different versions interfere with each other?
Is it possible to switch between versions?
Installed Nvidia drivers:
apt-cache search nvidia | grep version
nvidia-173 - NVIDIA legacy binary driver - version 173.14.39
nvidia-304 - NVIDIA legacy binary driver - version 304.131
nvidia-304-updates - NVIDIA legacy binary driver - version 304.131
nvidia-340 - NVIDIA binary driver - version 340.96
nvidia-340-updates - NVIDIA binary driver - version 340.96
nvidia-352-updates - NVIDIA binary driver - version 352.63
nvidia-352 - NVIDIA binary driver - version 352.79
nvidia-355 - NVIDIA binary driver - version 355.11
nvidia-358 - NVIDIA binary driver - version 358.16
nvidia-361 - NVIDIA binary driver - version 361.45.18
nvidia-364 - NVIDIA binary driver - version 364.19
nvidia-367 - NVIDIA binary driver - version 367.44
nvidia-370 - NVIDIA binary driver - version 370.23
14.04 cuda gpu gpu-drivers
asked Aug 27 '16 at 13:23
mrgloommrgloom
3482617
add a comment |
I have recently update GPU in my PC, running Ubuntu 14.04
I'm trying to run some benchmarks with Caffe, but they will strongly depend on version of CUDA, CuDNN and Nvidia Drivers.
Is there any option to manage different versions CUDA, CuDNN and Nvidia Drivers?
Will different versions interfere with each other?
Is it possible to switch between versions?
Installed Nvidia drivers:
apt-cache search nvidia | grep version
nvidia-173 - NVIDIA legacy binary driver - version 173.14.39
nvidia-304 - NVIDIA legacy binary driver - version 304.131
nvidia-304-updates - NVIDIA legacy binary driver - version 304.131
nvidia-340 - NVIDIA binary driver - version 340.96
nvidia-340-updates - NVIDIA binary driver - version 340.96
nvidia-352-updates - NVIDIA binary driver - version 352.63
nvidia-352 - NVIDIA binary driver - version 352.79
nvidia-355 - NVIDIA binary driver - version 355.11
nvidia-358 - NVIDIA binary driver - version 358.16
nvidia-361 - NVIDIA binary driver - version 361.45.18
nvidia-364 - NVIDIA binary driver - version 364.19
nvidia-367 - NVIDIA binary driver - version 367.44
nvidia-370 - NVIDIA binary driver - version 370.23
14.04 cuda gpu gpu-drivers
asked Aug 27 '16 at 13:23
mrgloommrgloom
3482617
I have recently update GPU in my PC, running Ubuntu 14.04
I'm trying to run some benchmarks with Caffe, but they will strongly depend on version of CUDA, CuDNN and Nvidia Drivers.
Is there any option to manage different versions CUDA, CuDNN and Nvidia Drivers?
Will different versions interfere with each other?
Is it possible to switch between versions?
Installed Nvidia drivers:
apt-cache search nvidia | grep version
nvidia-173 - NVIDIA legacy binary driver - version 173.14.39
nvidia-304 - NVIDIA legacy binary driver - version 304.131
nvidia-304-updates - NVIDIA legacy binary driver - version 304.131
nvidia-340 - NVIDIA binary driver - version 340.96
nvidia-340-updates - NVIDIA binary driver - version 340.96
nvidia-352-updates - NVIDIA binary driver - version 352.63
nvidia-352 - NVIDIA binary driver - version 352.79
nvidia-355 - NVIDIA binary driver - version 355.11
nvidia-358 - NVIDIA binary driver - version 358.16
nvidia-361 - NVIDIA binary driver - version 361.45.18
nvidia-364 - NVIDIA binary driver - version 364.19
nvidia-367 - NVIDIA binary driver - version 367.44
nvidia-370 - NVIDIA binary driver - version 370.23
14.04 cuda gpu gpu-drivers
14.04 cuda gpu gpu-drivers
asked Aug 27 '16 at 13:23
mrgloommrgloom
3482617
asked Aug 27 '16 at 13:23
mrgloommrgloom
3482617
edited Aug 27 '16 at 13:29
mrgloom
asked Aug 27 '16 at 13:23
mrgloommrgloom
3482617
asked Aug 27 '16 at 13:23
mrgloommrgloom
3482617
asked Aug 27 '16 at 13:23
mrgloommrgloom
3482617
3482617
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
I can only answer a part of your question.
I wrote a script to switch between multiple cuDNN versions. It currently supports v5.1, v6.0 and v7.0. You can find the script here.
Once you complete the installation and download the cuDNN versions you want to use, you can switch between v5.1, v6.0 and v7.0 with the click of a button.
This is what the script does:
#!/bin/bash
rm -f /usr/include/cudnn.h
rm -f /usr/lib/x86_64-linux-gnu/*libcudnn*
rm -f /usr/local/cuda-*/lib64/*libcudnn*
cp -P packages/cudnn/include/cudnn.h /usr/include
cp -P packages/cudnn/lib64/libcudnn* /usr/lib/x86_64-linux-gnu/
chmod a+r /usr/lib/x86_64-linux-gnu/libcudnn*
rm -rf packages/cudnn
It performs the installation operations automatically for the version you need.
answered Sep 13 '17 at 12:42
dnzzcndnzzcn
112
add a comment |
About coexistence and management of different CUDA versions, I think you can find your answer here:
https://devtalk.nvidia.com/default/topic/493290/cuda-programming-and-performance/multiple-cuda-versions-can-they-coexist-/post/3532363/#3532363
answered 10 mins ago
Jerry YangJerry Yang
1
New contributor
Jerry Yang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
I can only answer a part of your question.
I wrote a script to switch between multiple cuDNN versions. It currently supports v5.1, v6.0 and v7.0. You can find the script here.
Once you complete the installation and download the cuDNN versions you want to use, you can switch between v5.1, v6.0 and v7.0 with the click of a button.
This is what the script does:
#!/bin/bash
rm -f /usr/include/cudnn.h
rm -f /usr/lib/x86_64-linux-gnu/*libcudnn*
rm -f /usr/local/cuda-*/lib64/*libcudnn*
cp -P packages/cudnn/include/cudnn.h /usr/include
cp -P packages/cudnn/lib64/libcudnn* /usr/lib/x86_64-linux-gnu/
chmod a+r /usr/lib/x86_64-linux-gnu/libcudnn*
rm -rf packages/cudnn
It performs the installation operations automatically for the version you need.
answered Sep 13 '17 at 12:42
dnzzcndnzzcn
112
add a comment |
I can only answer a part of your question.
I wrote a script to switch between multiple cuDNN versions. It currently supports v5.1, v6.0 and v7.0. You can find the script here.
Once you complete the installation and download the cuDNN versions you want to use, you can switch between v5.1, v6.0 and v7.0 with the click of a button.
This is what the script does:
#!/bin/bash
rm -f /usr/include/cudnn.h
rm -f /usr/lib/x86_64-linux-gnu/*libcudnn*
rm -f /usr/local/cuda-*/lib64/*libcudnn*
cp -P packages/cudnn/include/cudnn.h /usr/include
cp -P packages/cudnn/lib64/libcudnn* /usr/lib/x86_64-linux-gnu/
chmod a+r /usr/lib/x86_64-linux-gnu/libcudnn*
rm -rf packages/cudnn
It performs the installation operations automatically for the version you need.
answered Sep 13 '17 at 12:42
dnzzcndnzzcn
112
add a comment |
I can only answer a part of your question.
I wrote a script to switch between multiple cuDNN versions. It currently supports v5.1, v6.0 and v7.0. You can find the script here.
Once you complete the installation and download the cuDNN versions you want to use, you can switch between v5.1, v6.0 and v7.0 with the click of a button.
This is what the script does:
#!/bin/bash
rm -f /usr/include/cudnn.h
rm -f /usr/lib/x86_64-linux-gnu/*libcudnn*
rm -f /usr/local/cuda-*/lib64/*libcudnn*
cp -P packages/cudnn/include/cudnn.h /usr/include
cp -P packages/cudnn/lib64/libcudnn* /usr/lib/x86_64-linux-gnu/
chmod a+r /usr/lib/x86_64-linux-gnu/libcudnn*
rm -rf packages/cudnn
It performs the installation operations automatically for the version you need.
answered Sep 13 '17 at 12:42
dnzzcndnzzcn
112
I can only answer a part of your question.
I wrote a script to switch between multiple cuDNN versions. It currently supports v5.1, v6.0 and v7.0. You can find the script here.
Once you complete the installation and download the cuDNN versions you want to use, you can switch between v5.1, v6.0 and v7.0 with the click of a button.
This is what the script does:
#!/bin/bash
rm -f /usr/include/cudnn.h
rm -f /usr/lib/x86_64-linux-gnu/*libcudnn*
rm -f /usr/local/cuda-*/lib64/*libcudnn*
cp -P packages/cudnn/include/cudnn.h /usr/include
cp -P packages/cudnn/lib64/libcudnn* /usr/lib/x86_64-linux-gnu/
chmod a+r /usr/lib/x86_64-linux-gnu/libcudnn*
rm -rf packages/cudnn
It performs the installation operations automatically for the version you need.
answered Sep 13 '17 at 12:42
dnzzcndnzzcn
112
edited Sep 13 '17 at 13:05
answered Sep 13 '17 at 12:42
dnzzcndnzzcn
112
answered Sep 13 '17 at 12:42
dnzzcndnzzcn
112
answered Sep 13 '17 at 12:42
dnzzcndnzzcn
112
112
add a comment |
add a comment |
About coexistence and management of different CUDA versions, I think you can find your answer here:
https://devtalk.nvidia.com/default/topic/493290/cuda-programming-and-performance/multiple-cuda-versions-can-they-coexist-/post/3532363/#3532363
answered 10 mins ago
Jerry YangJerry Yang
1
New contributor
Jerry Yang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
About coexistence and management of different CUDA versions, I think you can find your answer here:
https://devtalk.nvidia.com/default/topic/493290/cuda-programming-and-performance/multiple-cuda-versions-can-they-coexist-/post/3532363/#3532363
answered 10 mins ago
Jerry YangJerry Yang
1
New contributor
Jerry Yang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
About coexistence and management of different CUDA versions, I think you can find your answer here:
https://devtalk.nvidia.com/default/topic/493290/cuda-programming-and-performance/multiple-cuda-versions-can-they-coexist-/post/3532363/#3532363
answered 10 mins ago
Jerry YangJerry Yang
1
New contributor
Jerry Yang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
About coexistence and management of different CUDA versions, I think you can find your answer here:
https://devtalk.nvidia.com/default/topic/493290/cuda-programming-and-performance/multiple-cuda-versions-can-they-coexist-/post/3532363/#3532363
answered 10 mins ago
Jerry YangJerry Yang
1
New contributor
Jerry Yang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 10 mins ago
Jerry YangJerry Yang
1
New contributor
Jerry Yang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 10 mins ago
Jerry YangJerry Yang
1
answered 10 mins ago
Jerry YangJerry Yang
1
1
New contributor
Jerry Yang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Jerry Yang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Jerry Yang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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