Skip to content

Conversation

@lhog
Copy link

@lhog lhog commented Jul 12, 2022

See #117

apt update && \
apt install cmake

RUN git clone https://github.com/daanx/mimalloc-bench
Copy link
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

git clone --depth=1 https://github.com/daanx/mimalloc-bench is a bit better.

Copy link
Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Agreed, though the repo size is really minuscule. Can do if you prefer so.

@lhog
Copy link
Author

lhog commented Aug 6, 2022

Any further feedback?

@jvoisin
Copy link
Collaborator

jvoisin commented Aug 10, 2022

I'm not using Docker at all, so I don't have much more to say :/

@lhog
Copy link
Author

lhog commented Aug 11, 2022

It's ok. Can you suggest how to use graph.py though? Some usage example would be nice to have.

@jvoisin
Copy link
Collaborator

jvoisin commented Aug 18, 2022

If memory serves, you can simply throw the output of a bench.sh run at it.

@lhog
Copy link
Author

lhog commented Aug 18, 2022

If my memory serves, last time I ran bench.sh it spit out a ton of .txt files, I tried to supply a few random ones to graph.py much to no avail. Can someone check the actual use? Like what files I need to feed to graph.py exactly, etc.

@derSteFfi
Copy link
Contributor

it's not about the .txt files, you want to supply benchres.csv to graph_many.py, that creates the plot you want.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

3 participants