-
Notifications
You must be signed in to change notification settings - Fork 21
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
terminate called after throwing an instance of 'std::bad_alloc' #19
Comments
Hello, Best regards, |
Hello,
Thanks for your response!
It is either 128 or 256 GB. I will have to ask the people maintaining the server which computing node the parallel queue is actually using.
But based on the Canu output I got, which lists what hosts, cores and memory capacity it found, I would assume 128.
Best regards
Theresa
… On 6 May 2020, at 17:28, Robert Vaser ***@***.***> wrote:
Hello,
how much RAM does your machine have?
Best regards,
Robert
—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHub <#19 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AIRG3IC3AKIZ5NTSNXYG22DRQF62HANCNFSM4M2RCEKA>.
|
Hi Theresa, Best regards, |
Hi Robert,
I tried submitting it to the high memory queue; if it works there, we know it was the memory. It is uncompressed 85GB, actually.
Thank you for your help!!
Best regards
Theresa
… On 6 May 2020, at 18:58, Robert Vaser ***@***.***> wrote:
Hi Theresa,
128GB might not be enough. Is the file you have compressed or is the 85GB uncompressed size? Raven's memory requirements are around 1.3 * .FASTQ + 16GB.
Best regards,
Robert
—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHub <#19 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AIRG3IAPFSO5QSUYYKNRH7DRQGJLRANCNFSM4M2RCEKA>.
|
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Hi,
I tried to run Raven on Nanopore data (quite a big file, 85GB roughly) on a HPCC with a Torque Scheduler. The run was aborted with the following StdErr:
I am a bit at a loss why. Could it be that I run out of memory? Any help is appreciated!!
Thank you!
Best wishes
The text was updated successfully, but these errors were encountered: