Repository navigation
quantize: row-chunks stream to avoid thread starvation - #27830
Merged
Merged
Conversation
ngxson
changed the title
Contributor
|
Tested this out and got identical sha256sum and 20-70% speed up depending on the tensor type when using 64 threads! LGTM! |
ServeurpersoCom
approved these changes
Sep 1, 2026
thecodacus
pushed a commit
to thecodacus/llama.cpp
that referenced
this pull request
Sep 7, 2026
zbrad
pushed a commit
to zbrad/llama.cpp
that referenced
this pull request
Sep 10, 2026
pl752
pushed a commit
to pl752/llama.cpp
that referenced
this pull request
Sep 15, 2026
zsogitbe
pushed a commit
to zsogitbe/llama.cpp
that referenced
this pull request
Sep 17, 2026
frostyautumnleaf
pushed a commit
to frostyautumnleaf/llama.cpp
that referenced
this pull request
Oct 5, 2026
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Overview
Alternative solution to #27770
Original idea taken from https://github.com/ngxson/quant-studio
"Stream" here means: tensor is split into row-slabs --> each slab is split into row-chunks --> chunks fed into thread
It's not real streaming like what
quant-studiodoes (no overlap between I/O, dequant and quantization), but pretty close, without invasive changes to the existing code baseWork size limit from #27795 is still being respected
Requirements