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[AMD][MI35X] Enable fused allreduce+RMSNorm for Qwen3.5 MXFP4 MI355X agentic-mtp - #2801

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[AMD][MI35X] Enable fused allreduce+RMSNorm for Qwen3.5 MXFP4 MI355X agentic-mtp#2801
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@ChangLiu0709 ChangLiu0709 commented Sep 1, 2026

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Summary

Enable AITER fused allreduce+RMSNorm (--enable-aiter-allreduce-fusion) on the Qwen3.5-397B-A17B-MXFP4 MI355X agentic-coding benchmark arm, replacing the INT8 QuickReduce path.

Config keys touched:

  • qwen3.5-fp4-mi355x-sglang-agentic-mtp

Scope

Benchmark recipe change only (launch flags + env vars). No image bump — same lmsysorg/sglang-rocm:v0.5.18-rocm720-mi35x-20260829.

What changed in the recipe

Before After
export ROCM_QUICK_REDUCE_QUANTIZATION=INT8 commented out (disabled)
(no fusion flag) --enable-aiter-allreduce-fusion added to SGLang server args

The two paths are mutually exclusive — AITER custom allreduce fusion requires QuickReduce to be disabled.

Motivation

The AITER allreduce_fusion_kernel_1stage HIP kernel fuses TP allreduce + residual addition + RMSNorm into a single kernel launch, eliminating ~122 redundant kernel launches per decode cycle (from 256 → 134 total AR+RMS launches).

This targets the decode-phase bottleneck where Qwen3.5's 60-layer architecture (45 KDA + 15 MHA) generates ~256 standalone allreduce and RMSNorm kernel calls per cycle, each dominated by launch overhead (99.5% of per-call time) rather than compute or memory bandwidth.

Results

Kernel-level profiling (TP2, conc=4, EAGLE 3-step MTP)

Metric Baseline (QuickReduce) Fused AR+RMS Delta
Total kernels/cycle 1,562 1,318 -15.6%
Cycle time 14,316 µs 11,440 µs -20.1%
AR+RMS time (isolated) 1,733 µs 1,069 µs -663 µs

Production smoke test (TP2, conc=4, 1-hour AgentX agentic replay)

Metric Baseline Fused Delta
Output throughput/GPU 114.1 tok/s 120.8 tok/s +5.9%
Total throughput/GPU 10,394.8 tok/s 11,023.7 tok/s +6.1%
Interactivity 229.0 tok/s 230.7 tok/s +0.7%
MTP acceptance length 3.39 3.39 unchanged
Error rate 0/892 0/892 0.0%

Validation

Relying on the labeled full-sweep-fail-fast sweep.

Made with Cursor

Co-authors

@ChangLiu0709
@chunfangamd

…-mtp

Replace INT8 QuickReduce with AITER fused allreduce+RMSNorm
(--enable-aiter-allreduce-fusion) on the Qwen3.5 MXFP4 MI355X
agentic-coding benchmark arm.

The fused kernel combines TP allreduce, residual addition, and RMSNorm
into a single HIP kernel launch, cutting 256 separate kernel launches
down to 134 per decode cycle.

Results (TP2, conc=4, 1-hour AgentX agentic replay):
  - Output throughput/GPU: 114.1 -> 120.8 tok/s (+5.9%)
  - Decode cycle time:     14,316 -> 11,440 us (-20.1%)
  - MTP acceptance length: 3.39 (unchanged)
  - Error rate: 0/892 = 0.0%

Config key: qwen3.5-fp4-mi355x-sglang-agentic-mtp

Co-authored-by: Cursor <cursoragent@cursor.com>
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Thanks for the contribution! Please reach out to respective companies' CODEOWNER to fill in the latest PR_REVIEW_CHECKLIST.md before pinging core maintainer on Slack for review. In order for the signoff PR check bot to trigger, you must follow the PR_REVIEW_CHECKLIST.md template correctly, including the phrase As a PR reviewer and CODEOWNER, I have reviewed this and have.

For PR verification, add the full-sweep-fail-fast label (strongly recommended) to this PR — the benchmark sweep only runs on labeled PRs. Use full-sweep-enabled only if you need matrix jobs to keep running past a failure.

PR authors are responsible for ensuring that after merging, all GitHub Action jobs fully pass. A lot of the time, failures are just flakes and simply re-running the failed jobs will fix it. See GitHub's docs on re-running failed jobs


感谢你的贡献!请联系相应公司的 CODEOWNER 填写最新的 PR_REVIEW_CHECKLIST.md,然后再在 Slack 上联系核心维护者进行审阅。为了触发 signoff PR 检查机器人,你必须正确遵循 PR_REVIEW_CHECKLIST.md 模板,包括保留英文语句 As a PR reviewer and CODEOWNER, I have reviewed this and have

如需进行 PR 验证,请为此 PR 添加 full-sweep-fail-fast 标签(强烈推荐)— 基准测试 sweep 仅在带有标签的 PR 上运行。仅当需要矩阵任务在失败后继续运行时才使用 full-sweep-enabled

PR 作者有责任确保合并后所有 GitHub Action 任务完全通过。 很多时候失败只是偶发抖动(flake),重新运行失败的任务即可解决。参见 GitHub 关于重新运行失败任务的文档

Comment thread perf-changelog.yaml
Comment on lines 6822 to +6830
- "Refresh to collect TensorRT-LLM server metrics."
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2774

- config-keys:
- qwen3.5-fp4-mi355x-sglang-agentic-mtp
scenario-type:
- agentic-coding
description:
- "Enable AITER fused allreduce+RMSNorm (--enable-aiter-allreduce-fusion), replacing INT8 QuickReduce. +5.9% output throughput per GPU at TP2/conc4 agentic workload (114.1 -> 120.8 tok/s). -20.1% decode cycle time from kernel-level profiling."

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🔴 New changelog entry omits the required pr-link field, which every prior entry in the file includes and which ChangelogEntry.pr_link (utils/matrix_logic/validation.py:1031) requires with no default. Fix: add pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/<number> (or pr-link: TBD before the PR exists, per docs/configuration-procedures.md) to this entry so schema validation succeeds.

Extended reasoning...

ChangelogEntry is a pydantic model with extra='forbid' and pr_link: str = Field(alias="pr-link") — no default value, so a missing key raises a pydantic ValidationError when the changelog is parsed. Every other entry in perf-changelog.yaml (e.g. the immediately preceding one at line ~6819 for pull/2774) includes pr-link. Any CI step or matrix-logic tooling that loads perf-changelog.yaml via ChangelogMetadata/ChangelogEntry will fail on this new tail entry, blocking the PR's changelog validation step until pr-link is added.

Verification: normal. The new tail entry at perf-changelog.yaml:6825-6830 has config-keys, scenario-type, and description but no pr-link key (confirmed by reading the file tail; the immediately preceding entry at 6823 and every other entry include pr-link). ChangelogEntry (utils/matrix_logic/validation.py:1025-1031) declares pr_link: str = Field(alias="pr-link") with NO default, under `model_config =…

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