Dear All
This is a problem already docummented but did not solved for me.
We tried several javas (Oracle and not, several versions)
Can you give some more sugestions?
Thanks
Luis Gonçalves
Dear All
This is a problem already docummented but did not solved for me.
We tried several javas (Oracle and not, several versions)
Can you give some more sugestions?
Thanks
Luis Gonçalves
Java HotSpot™ 64-Bit Server VM warning: ignoring option MaxPermSize=256m; support was removed in 8.0
CompilerOracle: exclude java/lang/reflect/Array.newInstance
Above, output from nsight
Sir/Madam
Not a Virtual Machine
Graphics Drive 415.xx
Ubuntu 18.04
RTX2070
CUDA 10
Legacy (Not UEFI)
I already saw that link. See my post in
https://devtalk.nvidia.com/default/topic/1041766/nsight-not-working-with-me/?offset=13#5313670
Still an issue
Thanks
Luis Gonçalves
Only a small update
The card is an
ASUS with a RTX2070 8 GBytes
I believe your problem is that you are using a virtual machine!
Please check out my post on not using a virtual machine here:
Also, you will get some more info on the challenges with running Ubuntu on a host machine that has an NVIDIA graphics card attached to it. I believe I talk about the VM experience also:
I tried running with Ubuntu 18.04 LTS with Oracle VirtualBox. It was a royal nightmare. My advice is to partition your computer’s drive and install Ubuntu 18.04 LTS natively, preferably on a machine that does not have an NVIDIA graphics card. You will get more details in the posts above, but I just want to emphasis that you should not try to run on a VM. Even if you overcome this problem, there are going to be other headaches down the road with the VM. Trust me, I’ve spent weeks trying to dodge one issue after another. On a natively install, it is easy like Sunday morning!
-Cuda Education
Ok try the following:
Try a different version of the JRE
I know with CUDA Toolkit 10 on Windows, I had an issue with Secure Boot. Maybe its related to Nsight but I have no clue.
https://cudaeducation.com/cudatoolkit10/
DISCLAIMER: Use at your own risk! This code and/or instructions are for teaching purposes only. CUDA Education does not guarantee the accuracy of this code and/or instructions in any way. The code and instructions on this site may cause hardware damage and/or instability in your system. This code and/or instructions should not be used in a production or commercial environment.
Any liabilities or loss resulting from the use of this code and/or instructions, in whole or in part, will not be the responsibility of CUDA Education. All rights reserved. This code is the property of CUDA Education. Please contact CUDA Education at cudaeducation@gmail.com if you would like to use this code in any way, shape or form.
It is a new graphics card, so maybe NVIDIA doesn’t even realize the issue yet.