---
id: pr-vllm-20308
repo: vllm-project/vllm
pr: 20308
title: '[Kernel] Optimize Prefill Attention in Unified Triton Attention Kernel'
author: jvlunteren
date: '2025-07-07'
url: https://github.com/vllm-project/vllm/pull/20308
source_category: upstream-code
architectures:
- sm100
tags:
- attention
- prefill
techniques: []
hardware_features: []
kernel_types:
- attention
- prefill
languages:
- triton
captured_at: '2026-04-27'
status: merged
merge_sha: 22dd9c2730dc1124b9d0ac15fff223d0b8d9020b
inclusion_reason: kernel file changes
changed_paths:
- vllm/attention/ops/triton_unified_attention.py
head_ref_oid: d26316e1458fe6b4e706a167d6ef0939fb307914
artifact_dir: evidence/pull-bundles/vllm/gh-20308
---
# [Kernel] Optimize Prefill Attention in Unified Triton Attention Kernel

- Repository: `vllm-project/vllm`
- PR: [20308](https://github.com/vllm-project/vllm/pull/20308)
- Decision: `kernel file changes`
- Reason: kernel file changes

## Changed Paths

- `vllm/attention/ops/triton_unified_attention.py`

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-20308`
