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Merged
merged 3 commits into from
Jun 24, 2025
Merged

[PD Disaggregation] replace transfer with batch transfer for better performance #7236

merged 3 commits into from
Jun 24, 2025

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ssssnow
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@ssssnow ssssnow commented Jun 16, 2025

Motivation

This PR aims to significantly improve data transfer performance in the mooncake connector by replacing the original simple transfer with a batch transfer interface.

Modifications

Replaced the simple transfer implementation in the mooncake connector with a batch transfer interface.

Performance Improvement

In local tests (3 prefill nodes + 9 decode nodes, DeepSeek V3 model, 10K context length):
Simple transfer (old implementation in deep_ep branch): max transfer speed ~1.5 GB/s;
Batch transfer (this PR): transfer speed increased to 10-15 GB/s, about 8-12x faster;
Transfer time reduced from 650ms to 60ms.
As shown below, batch transfer greatly improves bandwidth utilization and overall performance:
image

More speed test could be found in kvcache-ai/Mooncake#499

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Summary of Changes

Hello @ssssnow, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request aims to substantially improve the data transfer performance within the mooncake connector by switching from a single-transfer approach to a more efficient batch transfer method. This change involves modifying the KV cache sending logic to utilize a new batch transfer function, which has demonstrated significant speedups in testing.

Highlights

  • Performance Improvement: Replaced individual data transfers with a batch transfer mechanism in the mooncake connector, leading to significant performance gains (8-12x faster transfer speed in local tests).
  • Batch Transfer Implementation: Introduced a new batch_transfer_sync method in the transfer engine to facilitate the new batch transfer approach.
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Code Review

This pull request aims to improve performance by replacing single transfers with batch transfers using the Mooncake engine. The addition of the batch_transfer_sync method in transfer_engine.py is correctly implemented. However, the usage of this new method in conn.py does not currently leverage the batching capability as the batch transfer call and list initialization are still inside the loop processing individual blocks. Addressing this will be crucial to realize the performance gains described.

@ssssnow ssssnow force-pushed the add_batch_transfer branch from 3d96dc6 to be13dbb Compare June 16, 2025 12:28
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ssssnow commented Jun 17, 2025

@binarycrayon @hnyls2002 Hi guys, please help to review this PR, thanks~

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will review and test this today， thx

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@ssssnow how many separated(non-contiguous page) chunks in a single layer in the real tests? seems the improvement based on the separated chunk numbers.

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ssssnow commented Jun 18, 2025

@ssssnow how many separated(non-contiguous page) chunks in a single layer in the real tests? seems the improvement based on the separated chunk numbers.

When it comes to single big chunk, batch transfer and non-batch transfer have comparable speed. But in the case of DeepSeek MLA, single chunk may be not large enough, so single iteration (61 alyers, 10K inputs) may result in many small chunks.

Typical speed test on various chunk size and chunk number could be found here: kvcache-ai/Mooncake#499

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LGTM. The change is clean and straightforward, but I need to run some tests when kvcache-ai/Mooncake#499 gets merged. Also, we need to wait for a new release v0.3.4 of mooncake, and we can revisit this PR at that time. I will ping someone to speed up the review process.

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@ssssnow I see the performance testing: kvcache-ai/Mooncake#499, and the number of chunks could be large.

I'm just curious, how many chunks in a single layer leads to Transfer time reduced from 650ms to 60ms, in the sglang testing, since the chunks in performance testing start from 5000.

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@ssssnow Can you share the commands to help reproduce? I think this is a nice work and could be helpful when page size is set to 1. But I am not sure whether it will significantly improve the e2e throughput when the page size is large. Let me run some tests to verify.

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ssssnow commented Jun 18, 2025 •
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@ssssnow Can you share the commands to help reproduce? I think this is a nice work and could be helpful when page size is set to 1. But I am not sure whether it will significantly improve the e2e throughput when the page size is large. Let me run some tests to verify.

I tested this in SGLang using 3 Prefill nodes + 9 Decode nodes + DeepSeek V3 model + 10K input length. I add some profiling codes at send_kv_cache. If non-batch transfer is used, it only reach 1.5 GB/s (on old deep_ep branch). Batch transfer could deliver 12 GB/s speed.

But I believe this could be tested in Mooncake's repo. Here's the code I used: https://gist.github.com/ssssnow/37f17c9815cd26c3337ceae2729397cb

test commands are listed in the file, you could try to reproduce that.

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ssssnow commented Jun 18, 2025

@ssssnow Can you share the commands to help reproduce? I think this is a nice work and could be helpful when page size is set to 1. But I am not sure whether it will significantly improve the e2e throughput when the page size is large. Let me run some tests to verify.

I tested this in SGLang using 3 Prefill nodes + 9 Decode nodes + DeepSeek V3 model + 10K input length. I add some profiling codes at send_kv_cache. If non-batch transfer is used, it only reach 1.5 GB/s (on old deep_ep branch). Batch transfer could deliver 12 GB/s speed.

But I believe this could be tested in Mooncake's repo. Here's the code I used: https://gist.github.com/ssssnow/37f17c9815cd26c3337ceae2729397cb

test commands are listed in the file, you could try to reproduce that.

Not sure if these are enough to help. If I miss anything, just let me know.

@ShangmingCai ShangmingCai mentioned this pull request Jun 18, 2025
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python/sglang/srt/disaggregation/mooncake/transfer_engine.py
peer_buffer_addresses: List[int],
lengths: List[int],
) -> int:
"""Synchronously transfer data to the specified address."""
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nit: maybe optimize this comment? like "Synchronously batch transfer data to the specified addresses."

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LGTM

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ShangmingCai commented Jun 23, 2025 •
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I think it is ok to get this merged first. If we get error reports from the users, I can add an env var to let the users decide whether to use this new batch API if its stability or performance improvement turns out to be not guaranteed. Currently, I think the current changes are great.

@zhyncs zhyncs merged commit 2ed68d7 into sgl-project:main Jun 24, 2025
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[PD Disaggregation] replace transfer with batch transfer for better p…
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Revert "[PD Disaggregation] replace transfer with batch transfer for …
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Revert "[PD Disaggregation] replace transfer with batch transfer for …
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This reverts commit 2ed68d7.
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Revert "[PD Disaggregation] replace transfer with batch transfer for …
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Merge 0 4 9 to master next (sgl-project#80)
8f20122 
* Use seq_len_fill_value in the cuda graph runners (sgl-project#7233)

* support custom weight loader for model runner (sgl-project#7122)

Co-authored-by: kavioyu <kavioyu@tencent.com>

* Fix AMD speculative decoding (sgl-project#7252)

* [Refactor] OAI Server components (sgl-project#7167)

Signed-off-by: Xinyuan Tong <justinning0323@outlook.com>

* OAI Server Skeleton & Core Utility Endpoints (sgl-project#7179)

* [amd] Opt dsv3 moe (sgl-project#7160)

Co-authored-by: wunhuang <wunhuang@amd.com>

* update ci node for xeon (sgl-project#7265)

* feat: mtp support dp-attention (sgl-project#6081)

Co-authored-by: austindeng <austindeng@tencent.com>
Co-authored-by: tianqilin.99 <tianqilin.99@bytedance.com>
Co-authored-by: Qiaolin Yu <liin1211@outlook.com>
Co-authored-by: ch-wan <cwan39@gatech.edu>

* support qwen2 running on ascend npu device (sgl-project#7022)

Co-authored-by: 刁莹煜 <diaoyingyu1@hisilicon.com>

* Fix Deepseek R1 0528 FP4 tensor name mismatch issue during weights loading. (sgl-project#7164)

* bugfix(tool call ebnf): Fix EBNF generation for optional function parameters (sgl-project#7283)

* Fix AWQ Dequant and Weight Loading of deepseek v2 (sgl-project#6842)

* fix: resolve b200 dsv3 mtp issue (sgl-project#7286)

* ci: Fix test_ebnf_generate_all_optional_function_params (sgl-project#7288)

* fix: only enable flash_attn test on sm80 sm90 (sgl-project#7289)

* [PD] Support get local ip from NIC for PD disaggregation (sgl-project#7237)

Signed-off-by: Shangming Cai <caishangming@linux.alibaba.com>

* [PD] Add custom memory pool option to support Mooncake PD with NVLink  (sgl-project#7264)

Signed-off-by: Shangming Cai <caishangming@linux.alibaba.com>

* Upstreaming hicache bug fixes (sgl-project#7267)

* Update python API of activation, topk, norm and rope and remove vllm dependency (sgl-project#6614)

Co-authored-by: Wu, Chunyuan <chunyuan.wu@intel.com>
Co-authored-by: jianan-gu <jianan.gu@intel.com>
Co-authored-by: sdp <sdp@gnr799219.jf.intel.com>

* Fix hicache benchmark script bug - some sampled input_request is [] (sgl-project#7300)

* chore: change logs from`INFO` to `DEBUG` for dp and add force quit for tokenizer manager (sgl-project#7251)

* update invalid link in doc (sgl-project#7297)

* Fix mini_lb for PD with long output: limit chunk size of decode response (sgl-project#7301)

Signed-off-by: ch-tiger1 <xyz@ch-tech.ip-ddns.com>
Co-authored-by: ch-tiger1 <xyz@ch-tech.ip-ddns.com>

* Fix profiler error when there are idle passes (sgl-project#7003)

* [pd] optimize dockerfile for  pd disaggregation (sgl-project#7319)

Co-authored-by: zhyncs <me@zhyncs.com>

* Merge PDLB (Prefill-Decode Load Balancer) into SGLang Router (sgl-project#7096)

* Add more refactored openai test & in CI (sgl-project#7284)

* fix: resolve blackwell deepep image issue (sgl-project#7331)

* add seed in CPU UTs to avoid flaky failure (sgl-project#7333)

* Multi-Stage Awake: Support Resume and Pause KV Cache and Weights separately (sgl-project#7099)

* Reintroduce tiny fix sampler error when prob is not contiguous (sgl-project#7354)

* [Refactor] Clean up radix cache related API (sgl-project#7303)

Co-authored-by: Zhiqiang Xie <xiezhq@stanford.edu>

* Put `_normalize_rid` before other normalization in `io_struct` (sgl-project#7363)

* [PD] Transfer hidden states for mtp when disaggregation (sgl-project#7242)

* [Bugfix][PD] Set conclude state before clear when failure happens (sgl-project#7362)

Signed-off-by: Shangming Cai <caishangming@linux.alibaba.com>

* docs: update installation (sgl-project#7366)

* [Docker] optimize dockerfile  remove deepep and blackwell merge it to… (sgl-project#7343)

Co-authored-by: Yineng Zhang <me@zhyncs.com>

* Clean unused import for mimo mtp model (sgl-project#7370)

* [Bugfix]Fix hang bug using dp attention with HiRadixCache (sgl-project#7159)

Signed-off-by: huanglong <huanglong@linux.alibaba.com>

* [Doc] add embedding rerank doc (sgl-project#7364)

* Fix judgment condition for enabling Deepseek V3/R1 shared expert fusion optimization (sgl-project#7371)

* Feat/refactor embedding server (sgl-project#7322)

* Purge VerlEngine (sgl-project#7326)

Signed-off-by: Ata Fatahi <immrata@gmail.com>

* support return logprobs for pipeline (sgl-project#7356)

Co-authored-by: Zhang Kaihong <zhangkaihong.zkh@alibaba-inc.com>

* [PD] Optimize custom mem pool usage and bump mooncake version (sgl-project#7393)

Signed-off-by: Shangming Cai <caishangming@linux.alibaba.com>

* Support THUDM/GLM-4-0414 (GLM-Z1) Glm4ForCausalLM architecture. (sgl-project#5485)

* Refine OpenAI serving entrypoint to remove batch requests (sgl-project#7372)

Signed-off-by: Xinyuan Tong <justinning0323@outlook.com>
Co-authored-by: Chang Su <csu272@usc.edu>

* [Feature] Comprehensive Hybrid Parallelism Support (sgl-project#6389)

* [DeepSeekNextN] fix: residual of head norm can be None (sgl-project#7398)

* [OAI refactor] Add rerank and score serving (sgl-project#7399)

Co-authored-by: Chang Su <chang.s.su@oracle.com>

* [OAI Server Refactor] [ChatCompletions & Completions] Implement UsageInfo Processor (sgl-project#7360)

Co-authored-by: Chang Su <chang.s.su@oracle.com>

* Fix All-Gather under world size one (sgl-project#7219)

* Optimize DP attn scheduling for speculative decoding (sgl-project#7285)

* Update usage_processor.py (sgl-project#7402)

* Fix 7285 Merge Conflicts (sgl-project#7403)

* chore: upgrade mooncake-transfer-engine 0.3.4 (sgl-project#7401)

* [OAI Server Refactor] [ChatCompletions & Completions] Support Return Hidden State (sgl-project#7329)

Signed-off-by: keru <rukeyang@gmail.com>

* Remove batches api in docs & example (sgl-project#7400)

* [BugFix]: fix EmbeddingReqInput single input error (sgl-project#7396)

* [BugFix]fix qwen25 invoke function call streaming responses with curly braces as the starting indicator (sgl-project#7394)

* fix overlap pagecount (sgl-project#6984)

Co-authored-by: Zhiqiang Xie <xiezhq@stanford.edu>

* fix: Fix CI test_function_call_parser.py (sgl-project#7425)

* Fix CPU offloading for MLA memory pool (sgl-project#7409)

* [fix] PD disaggregation when enable mtp and tp!=dp (sgl-project#7420)

* feat(oai refactor): Replace `openai_api` with `entrypoints/openai`  (sgl-project#7351)

Co-authored-by: Jin Pan <jpan236@wisc.edu>

* Refactor LoRAManager and LoRAMemoryPool state management logic for dynamic LoRA loading support (sgl-project#7412)

* refactor(test): reorganize OpenAI test file structure (sgl-project#7408)

* [minor] simplify the `TokenToKVPoolAllocator` (sgl-project#7414)

* Tiny add logging for GC  (sgl-project#7406)

* FlashInfer NVFP4 MoE with EP & 2-stream shared expert (sgl-project#7327)

Co-authored-by: JieXin Liang <Alcanderian@users.noreply.github.com>
Co-authored-by: alcanderian <alcanderian@gmail.com>

* Remove copy after bmm (sgl-project#7441)

* Fix torch compile run (sgl-project#7391)

Co-authored-by: wunhuang <wunhuang@amd.com>
Co-authored-by: Sai Enduri <saimanas.enduri@amd.com>

* [misc] Add PD service discovery support in router (sgl-project#7361)

* add fused moe config for qwen3 in triton3.3.1 (sgl-project#7445)

* Fix CUDA Graph Check under Deepep with DP FFN (sgl-project#7451)

* Update hyperparameter_tuning.md (sgl-project#7454)

* feat: integrate deepgemm into EPMoE (sgl-project#6821)

Co-authored-by: tianqilin.99 <tianqilin.99@bytedance.com>
Co-authored-by: TianQiLin666666 <1834987979@qq.com>
Co-authored-by: Cheng Wan <54331508+ch-wan@users.noreply.github.com>

* Solve docker build failed in the virtual machine (sgl-project#7290)

Co-authored-by: wunhuang <wunhuang@amd.com>
Co-authored-by: Sai Enduri <saimanas.enduri@amd.com>
Co-authored-by: HAI <hixiao@gmail.com>

* Fix a bug in BatchTokenIDOut & Misc style and dependency updates (sgl-project#7457)

* [CI] Upgrade mooncake to 0.3.4.post1 to fix 8 gpu tests (sgl-project#7472)

Signed-off-by: Shangming Cai <caishangming@linux.alibaba.com>

* Fix prefill OOM due to wrong token calculation when page > 1  (sgl-project#7397)

* feat(func_call): Add more check in `BaseFormatDetector.parse_streaming_increment` (sgl-project#7479)

* Fix dtype for idle input in spec decoding (sgl-project#7456)

* update mooncake in dockerfile (sgl-project#7480)

* kvcache io kernels and test case (sgl-project#7382)

* [perf] slightly imporve DeepSeek-R1-FP4 TP8 (sgl-project#7481)

* Quick fix for DeepGemm requant to also cover MTP. (sgl-project#7378)

* Support weight loading without mmap (sgl-project#7469)

* ci: Revert openai_server related tests in AMD suites (sgl-project#7449)

* Perormance: Enable cuda graph for dp idle batch (sgl-project#7269)

Co-authored-by: austindeng <austindeng@tencent.com>
Co-authored-by: Cheng Wan <54331508+ch-wan@users.noreply.github.com>
Co-authored-by: ch-wan <cwan39@gatech.edu>

* bugfix: Prevent global mutation of conv.stop_str across requests (sgl-project#7347)

Co-authored-by: Chang Su <chang.s.su@oracle.com>

* Fix RequestValidationError response format (sgl-project#7487)

* Fix MTP with Deepseek R1 Fp4 (sgl-project#7376)

* chore: bump sgl-kernel v0.2.0 (sgl-project#7490)

* chore: bump v0.4.8 (sgl-project#7493)

* [AMD] add aiter fused moe in DeepEP path (sgl-project#7268)

* enable aiter_biased_grouped_topk kernel (sgl-project#7423)

* [PD Disaggregation] replace transfer with batch transfer for better performance (sgl-project#7236)

* Remove cumsum_buffer initilization (sgl-project#7439)

* [benchmark] fbgemm benchmark support bandwidth report and support fbgemm_cutlass_gmm (sgl-project#7422)

* Support multi-thread model weight loading (sgl-project#7277)

* [PD] NIXL: Register kv args in advance and cleanup finished requests (sgl-project#6717)

* fix: Add `--model` as an alias for `--model-path` in server_args (sgl-project#7505)

* misc: Improvement to serving_chat.py and add more ut (sgl-project#7489)

* Fuse sorted_token_ids padding to moe_align_block_size kernel (sgl-project#7437)

* [OAI] patch origin request_id logic (sgl-project#7508)

* [PD][Spec] Fix hidden state transfer for spec decode (sgl-project#7516)

Signed-off-by: Shangming Cai <caishangming@linux.alibaba.com>

* EPLB support for MTP (sgl-project#7510)

* clean duplicate code (sgl-project#7512)

* [ci] add router benchmark script and CI (sgl-project#7498)

* fix: force synchronization between TP workers when update_weights (sgl-project#6626)

Co-authored-by: dangkai.dk <dangkai.dk@alibaba-inc.com>

* [CPU] [BF16] Call fused_experts_cpu, weight_packed_linear and bmm_cpu kernel in DeepSeek model (sgl-project#6641)

Co-authored-by: Thien Tran <gau.nernst@yahoo.com.sg>

* [CI] Upgrade mooncake to v0.3.4.post2 to fix potential slice failed bug (sgl-project#7522)

Signed-off-by: Shangming Cai <caishangming@linux.alibaba.com>

* npu fused op (sgl-project#7386)

Co-authored-by: Li Junwen <lijunwen13@hisilicon.com>

* feat: send kvmetrics from sglang scheduler (sgl-project#6721)

* [PD] Add different TP sizes support for no-MLA models (sgl-project#6793)

Co-authored-by: shangmingc <csmthu@gmail.com>
Co-authored-by: Shangming Cai <caishangming@linux.alibaba.com>

* enable aiter fp8 blockscale quant (sgl-project#7520)

* take aiter get_rope back (sgl-project#7521)

* Fix typo of flash_cache (sgl-project#7513)

* feat: add return hidden_states at async generation (sgl-project#7507)

* minor: 'role' must be system/assistant/tool, but case insensitive for now (sgl-project#7499)

* Fix FP8 KV Cache Support in FA3 Backend (sgl-project#7148)

* Fix gathered_buffer issues in tbo (sgl-project#7531)

* [PD] Raise error for incompatible mooncake version and some minor fixes (sgl-project#7527)

Signed-off-by: Shangming Cai <caishangming@linux.alibaba.com>

* [CMake] Fix sgl-kernel CMakeLists for Blackwell (sgl-project#7543)

* Add Tencent HunYuanMoEV1 model support (sgl-project#7549)

* Update seed in CPU UTs to avoid flaky failure with single test (sgl-project#7544)

* chore: improve ci bug reporting (sgl-project#7542)

* chore: remove vlm unnecessary import (sgl-project#7541)

Signed-off-by: Xinyuan Tong <justinning0323@outlook.com>
Co-authored-by: yhyang201 <yhyang201@gmail.com>
Co-authored-by: Mick <mickjagger19@icloud.com>

* chore: bump v0.4.8.post1 (sgl-project#7559)

* [PD][NIXL] Set is_sorted=False to fix NIXL_ERR_NOT_FOUND (sgl-project#7330)

* [Fix] incorrect assert in EPLB (sgl-project#7575)

* Updates Gemma3n MLP layer to adapt latest transformers version (sgl-project#7573)

Signed-off-by: Xinyuan Tong <justinning0323@outlook.com>

* Fix MTP error when enabling two-batch overlap  (sgl-project#7569)

* Add e2e test for multi instance multi stage memory release/resume occupuation (sgl-project#7208)

Signed-off-by: Ata Fatahi <immrata@gmail.com>

* [CI] Add CI Testing for Prefill-Decode Disaggregation with Router (sgl-project#7540)

* Updates transformers and timm dependencies (sgl-project#7577)

Signed-off-by: Xinyuan Tong <justinning0323@outlook.com>

* feat: support compatibility between MTP and two-batch-overlap (sgl-project#7225)

Co-authored-by: Cheng Wan <54331508+ch-wan@users.noreply.github.com>

* Move multimodal processors into a separate folder (sgl-project#7581)

* Fix broken CI TestVILAServer (sgl-project#7610)

* [router] add centralized configuration module for sgl-router (sgl-project#7588)

* Fix: Minicpm (sgl-project#7612)

Signed-off-by: Xinyuan Tong <justinning0323@outlook.com>

* Hybrid kv cache for LLaMA4 (sgl-project#6563)

Co-authored-by: Cheng Wan <54331508+ch-wan@users.noreply.github.com>
Co-authored-by: tarinkk <rt572@physics.rutger.edu>
Co-authored-by: tarinkk <rt572@rutgers.physics.edu>
Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>

* [CPU] add optimizations for INT8 and FP8 DeepSeek (sgl-project#6769)

Co-authored-by: Zheng, Beilei <beilei.zheng@intel.com>

* Tiny add logs for expert location updater (sgl-project#7308)

* Fix flakiness in LoRA batch test. (sgl-project#7552)

* [BUG] fix local_rank in initialize_dp_attention (sgl-project#7584)

* Support dynamic LoRA loading / unloading in engine/server API (sgl-project#7446)

* [PD] Respect sampling_params.max_new_tokens when PD disaggregation is activated (sgl-project#7598)

Signed-off-by: Shangming Cai <caishangming@linux.alibaba.com>

* fix unit tests (sgl-project#7618)

* Let ep_scatter support arbitrary strides / ue8m0 format (sgl-project#7309)

* Let EP prefill support new DeepGEMM (sgl-project#7310)

* docs: add gb200 nvl72 and a16z grant (sgl-project#7620)

* oai: Adds support for OpenAI chat completions API in bench_serving (sgl-project#7036)

Signed-off-by: Xinyuan Tong <justinning0323@outlook.com>
Co-authored-by: yhyang201 <47235274+yhyang201@users.noreply.github.com>
Co-authored-by: Mick <mickjagger19@icloud.com>

* [bugfix] Remove PR comment posting from Rust benchmark workflow (sgl-project#7625)

* [Minor] clean up multimodal processor and tokenizer manager (sgl-project#7624)

* Add dsv3 fused a gemm to sgl-kernel (sgl-project#7630)

* Add @mickqian as the CODEOWNERS of multimodal (sgl-project#7636)

* Fix stream reasoning parser and Adds Kimi reasoning parser  (sgl-project#7432)

Signed-off-by: Xinyuan Tong <justinning0323@outlook.com>

* Fix sgl-router startup crash (sgl-project#7619)

* [bugfix] fix runtime dropping panic in editable (sgl-project#7628)

* Move files related to EPLB (sgl-project#7580)

* [misc] reduce weird rope_scaling_factor warning (sgl-project#7176)

* [AMD] Add unit-test-sgl-kernel-amd to AMD CI (sgl-project#7539)

* Update CODEOWNERS (sgl-project#7640)

* [EAGLE] remove a wrong adjustment for page_size > 1 & topk > 1 in server_args.py (sgl-project#7643)

* [CPU] add c++ kernel to bind CPU cores and memory node (sgl-project#7524)

* Improve streaming, log_level, memory report, weight loading, and benchmark script (sgl-project#7632)

Co-authored-by: Kan Wu <wukanustc@gmail.com>

* Add dsv3 router gemm kernel (sgl-project#7627)

* chore: upgrade flashinfer v0.2.7 jit (sgl-project#7663)

* [doc] update lws doc for pd (sgl-project#7318)

* Fix: sync prepare_fp8_layer_for_marlin with latest vllm changes (sgl-project#7648)

* Add small requirements for benchmark/parse_result tools (sgl-project#7671)

* [CPU] remove process_group from inputs of shm_allreduce and shm_allgather (sgl-project#7486)

* chore: bump sgl-kernel v0.2.1 (sgl-project#7675)

* support llama4 eagle3  (sgl-project#6985)

Co-authored-by: shuaills <shishuaiuoe@gmail.com>
Co-authored-by: Shenggui Li <somerlee.9@gmail.com>
Co-authored-by: Yingyi Huang <yingyihuang2000@outlook.com>
Co-authored-by: yizhang2077 <1109276519@qq.com>

* Refactor mm processors and Enable mixed modality processing (sgl-project#7629)

Signed-off-by: Xinyuan Tong <justinning0323@outlook.com>

* upgrade sgl kernel to 0.2.1 for main (sgl-project#7676)

* add description for llama4 eagle3 (sgl-project#7688)

* fix(model loader): use safe_open to prevent file handle leaks. (sgl-project#7684)

* chore: upgrade flashinfer v0.2.7.post1 (sgl-project#7698)

* Improve error handling for requests with unloaded LoRA path(s) (sgl-project#7642)

* Apply dsv3_fused_a_gemm kernel (sgl-project#7635)

* Fix GPTQMarlinMoE (sgl-project#7697)

* [1/n] apply wna16marlin kernel in moe weight only quantization (sgl-project#7683)

Co-authored-by: 晟海 <huangtingwei.htw@antgroup.com>
Co-authored-by: yych0745 <1398089567@qq.com>
Co-authored-by: HandH1998 <1335248067@qq.com>
Co-authored-by: 弋云 <yiyun.wyt@antgroup.com>
Co-authored-by: walker-ai <2398833647@qq.com>

* Apply dsv3 router gemm kernel for deepseek-r1 fp4 (sgl-project#7677)

* [AMD] Temporarily disable test_no_overlap_scheduler and test_vision_chunked_prefill (sgl-project#7717)

* [RL] add --skip-warmup (sgl-project#7416)

* [RL] support update_weights_from_distributed with different group and multiple weights (sgl-project#7292)

* [router] add --log-level to sgl-router (sgl-project#6512)

* [b200] support trt-llm allreduce fuse rms_norm_add kernel (sgl-project#7621)

* [CPU] Bind threads and numa node for each TP rank (sgl-project#6549)

Co-authored-by: srinarayan-srikanthan <srinarayan.srikanthan@intel.com>

* Support non-contiguous query input for extend/decode attention (sgl-project#7462)

* Support updating weights at once by stopping all requests (sgl-project#6698)

Signed-off-by: Tianyu Zhou <albert.zty@antgroup.com>
Co-authored-by: Zilin Zhu <zhuzilinallen@gmail.com>

* Fix num_tokens_pre_allocated in disaggregation log (sgl-project#7714)

* [CPU] [sgl-kernel] set dispatch key of initialize to CatchAll (sgl-project#7734)

* [CPU] fix all_reduce and all_gather (sgl-project#6770)

Co-authored-by: blzheng <beilei.zheng@intel.com>

* fix awq and dsv3 fused gemm compatible (sgl-project#7735)

* [CI][Router] Fix bench_one_batch_server for pd router test (sgl-project#7731)

Signed-off-by: Shangming Cai <caishangming@linux.alibaba.com>

* Add CUTLASS FP8 Blockscale MoE kernel for Hopper architecture (sgl-project#7278)

Co-authored-by: HydraQYH <QYH820@Outlook.com>
Co-authored-by: TianQiLin666666 <1834987979@qq.com>

* fix dsv3 fused proj check  (sgl-project#7738)

* Ascend attention backend(PA&MLA) (sgl-project#7722)

Co-authored-by: Maksim <makcum888e@mail.ru>
Co-authored-by: VDV1985 <vladdv85@mail.ru>

* [fix] fix dsv3_router_gemm filter (sgl-project#7750)

* [CPU] refine CPU integration code (sgl-project#7647)

* [CPU] support the case where num_attention_heads or intermediate_size is not divisible by the TP size (sgl-project#6771)

* support qwen3 dense model dp attention (sgl-project#7681)

* [optimize] add two stream norm for qwen3 (sgl-project#7740)

Co-authored-by: ispobock <ispobaoke@gmail.com>

* feat: use D2D instead of H2H in pp (sgl-project#7673)

Co-authored-by: alpha-baby <fujianhao1997@qq.com>

* [Bug] add flashinfer bool check for fusedmoe in Qwen moe models (sgl-project#7723)

* [fix] put cpu in the first priority in get_device() (sgl-project#7752)

* [optimize] fuse renormalize into moe_topk_softmax (sgl-project#7744)

Co-authored-by: ispobock <ispobaoke@gmail.com>

* chore: bump sgl-kernel 0.2.2 (sgl-project#7755)

* fix CI: update native api ipynb (sgl-project#7754)

Signed-off-by: Xinyuan Tong <justinning0323@outlook.com>

* fuse renormal into moe topk softmax kernel python code (sgl-project#7751)

Co-authored-by: ispobock <ispobaoke@gmail.com>
Co-authored-by: zhyncs <me@zhyncs.com>

* Remove type conversion and fix id map in topk (sgl-project#7759)

* Add V2-lite model test (sgl-project#7390)

Co-authored-by: DiweiSun <105627594+DiweiSun@users.noreply.github.com>

* refactor llama4 dp attention logic (sgl-project#7729)

* fix(docs): fix the broken link in `docs/references/production_metrics.md` (sgl-project#7741)

Signed-off-by: rudeigerc <rudeigerc@gmail.com>

* [fix] update bench_speculative.py for compatibility (sgl-project#7764)

Signed-off-by: Kay Yan <kay.yan@daocloud.io>

* Move mem_fraction_static adjustment for multimodal models to `server_args.py` & Fix session control & Other cleanups (sgl-project#7748)

* [RL] Add --nccl-port to prevent port conflict (sgl-project#7418)

* [RL] add pause and continue generation for async rl training (sgl-project#7419)

* [Fix] Alloc return type error (sgl-project#7778)

Signed-off-by: Capronir <839972205@qq.com>

* [feat] Support EAGLE3 for Qwen (sgl-project#7745)

Co-authored-by: 纬杭 <ximing.wxm@antgroup.com>
Co-authored-by: zyksir <zyksir@outlook.com>

* saving hidden_states.clone() (sgl-project#7705)

* [1/n]: add cutlass W4A8 moe kernel for hopper architecture (sgl-project#7772)

Signed-off-by: yangsijia.614 <yangsijia.614@bytedance.com>
Co-authored-by: yicwang <yichen.wang@bytedance.com>

* add model: qwen2-audio (sgl-project#7596)

* Optimize Hopper CUTLASS FP8 Blockwise Grouped GEMM Kernel in Small K Scenario (sgl-project#7782)

* Embedding parallel by attn_tp (sgl-project#7623)

* fix: fix apply_shuffle_mul_sum (sgl-project#7444)

* chore: bump sgl-kernel v0.2.3 (sgl-project#7784)

* fix: use nvidia-nccl-cu12 2.27.5 (sgl-project#7787)

* DP Attention with Auto DeepEP Dispatch (sgl-project#7222)

* chore: upgrade sgl-kernel v0.2.3 (sgl-project#7786)

* Fix incorrect spec_num_draft_tokens in draft_extend (sgl-project#7757)

* [fix] fix misusing of is_cuda (sgl-project#7790)

* Add treemask mode to build_eagle_tree & release sgl-kernel 0.2.3 (sgl-project#7756)

Co-authored-by: Pranjal Shankhdhar <pranjal.ssh@gmail.com>

* chore: bump sgl-kernel v0.2.4 (sgl-project#7800)

* ci: fix port args (sgl-project#7792)

* Fix CI test OOM issue. (sgl-project#7799)

* chore: upgrade sgl-kernel v0.2.4 (sgl-project#7801)

* chore: bump v0.4.9 (sgl-project#7802)

* fix merge conflict issue

* fix hpu attention nonetyep issue

* fix alignment

* fix alignment2

* Ci failure fixes

* fix attention-backend choices

---------

Signed-off-by: Xinyuan Tong <justinning0323@outlook.com>
Signed-off-by: Shangming Cai <caishangming@linux.alibaba.com>
Signed-off-by: ch-tiger1 <xyz@ch-tech.ip-ddns.com>
Signed-off-by: huanglong <huanglong@linux.alibaba.com>
Signed-off-by: Ata Fatahi <immrata@gmail.com>
Signed-off-by: keru <rukeyang@gmail.com>
Signed-off-by: Tianyu Zhou <albert.zty@antgroup.com>
Signed-off-by: rudeigerc <rudeigerc@gmail.com>
Signed-off-by: Kay Yan <kay.yan@daocloud.io>
Signed-off-by: Capronir <839972205@qq.com>
Signed-off-by: yangsijia.614 <yangsijia.614@bytedance.com>
Signed-off-by: Mohit Sinha <msinha@habana.ai>
Co-authored-by: Lianmin Zheng <lianminzheng@gmail.com>
Co-authored-by: KavioYu <67678385+yukavio@users.noreply.github.com>
Co-authored-by: kavioyu <kavioyu@tencent.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>
Co-authored-by: yhyang201 <47235274+yhyang201@users.noreply.github.com>
Co-authored-by: kk <43161300+kkHuang-amd@users.noreply.github.com>
Co-authored-by: wunhuang <wunhuang@amd.com>
Co-authored-by: DiweiSun <105627594+DiweiSun@users.noreply.github.com>
Co-authored-by: u4lr451 <u4lr451@gmail.com>
Co-authored-by: austindeng <austindeng@tencent.com>
Co-authored-by: tianqilin.99 <tianqilin.99@bytedance.com>
Co-authored-by: Qiaolin Yu <liin1211@outlook.com>
Co-authored-by: ch-wan <cwan39@gatech.edu>
Co-authored-by: Yijie Zhu <762412795@qq.com>
Co-authored-by: 刁莹煜 <diaoyingyu1@hisilicon.com>
Co-authored-by: Charles Chen <pychen96@gmail.com>
Co-authored-by: Chang Su <chang.s.su@oracle.com>
Co-authored-by: AniZpZ <zhuangsen.zp@antgroup.com>
Co-authored-by: Yineng Zhang <me@zhyncs.com>
Co-authored-by: shangmingc <caishangming@linux.alibaba.com>
Co-authored-by: Zhiqiang Xie <xiezhq@stanford.edu>
Co-authored-by: YanbingJiang <yanbing.jiang@intel.com>
Co-authored-by: Wu, Chunyuan <chunyuan.wu@intel.com>
Co-authored-by: jianan-gu <jianan.gu@intel.com>
Co-authored-by: sdp <sdp@gnr799219.jf.intel.com>
Co-authored-by: Binyao Jiang <byjiang1996@gmail.com>
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Co-authored-by: linzhuo <15313137931lz@gmail.com>
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Co-authored-by: ch-tiger1 <xyz@ch-tech.ip-ddns.com>
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Co-authored-by: Ata Fatahi <immrata@gmail.com>
Co-authored-by: strgrb <zhangkaihong.zkh@antgroup.com>
Co-authored-by: Zhang Kaihong <zhangkaihong.zkh@alibaba-inc.com>
Co-authored-by: Wenbo Yang <solrex@users.noreply.github.com>
Co-authored-by: Chang Su <csu272@usc.edu>
Co-authored-by: Cheng Wan <54331508+ch-wan@users.noreply.github.com>
Co-authored-by: Keyang Ru <rukeyang@gmail.com>
Co-authored-by: ehuaa <ehuamail@163.com>
Co-authored-by: pansicheng <sicheng.pan.chn@gmail.com>
Co-authored-by: Liangsheng Yin <hnyls2002@gmail.com>
Co-authored-by: Jin Pan <jpan236@wisc.edu>
Co-authored-by: Lifu Huang <lifu.hlf@gmail.com>
Co-authored-by: Trevor Morris <tmorris@nvidia.com>
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Co-authored-by: alcanderian <alcanderian@gmail.com>
Co-authored-by: Ke Bao <ISPObaoke@163.com>
Co-authored-by: Sai Enduri <saimanas.enduri@amd.com>
Co-authored-by: Yi Zhang <1109276519@qq.com>
Co-authored-by: xutizhou <xutingz@nvidia.com>
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Co-authored-by: Hongbo Xu <1320612015@qq.com>
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Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu>
Co-authored-by: Meng, Peng <pengmeng@tencent.com>
Co-authored-by: Mick <mickjagger19@icloud.com>
Co-authored-by: yhyang201 <yhyang201@gmail.com>
Co-authored-by: tarinkk <129432511+tarinkk@users.noreply.github.com>
Co-authored-by: tarinkk <rt572@physics.rutger.edu>
Co-authored-by: tarinkk <rt572@rutgers.physics.edu>
Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
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Co-authored-by: Sheng Qi <shengqi2018@pku.edu.cn>
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Co-authored-by: Shenggui Li <somerlee.9@gmail.com>
Co-authored-by: Yingyi Huang <yingyihuang2000@outlook.com>
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Co-authored-by: Kyungmin Lee <30465912+lkm2835@users.noreply.github.com>
Co-authored-by: 晟海 <huangtingwei.htw@antgroup.com>
Co-authored-by: yych0745 <1398089567@qq.com>
Co-authored-by: HandH1998 <1335248067@qq.com>
Co-authored-by: 弋云 <yiyun.wyt@antgroup.com>
Co-authored-by: walker-ai <2398833647@qq.com>
Co-authored-by: Zilin Zhu <zhuzilinallen@gmail.com>
Co-authored-by: srinarayan-srikanthan <srinarayan.srikanthan@intel.com>
Co-authored-by: Albert <albert.zty@antgroup.com>
Co-authored-by: Ziming Huang <1520787127@qq.com>
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Co-authored-by: HydraQYH <QYH820@Outlook.com>
Co-authored-by: ronnie_zheng <zl19940307@163.com>
Co-authored-by: Maksim <makcum888e@mail.ru>
Co-authored-by: VDV1985 <vladdv85@mail.ru>
Co-authored-by: ispobock <ispobaoke@gmail.com>
Co-authored-by: TianyuZhang1214 <tianyuzhang1214@163.com>
Co-authored-by: alpha-baby <fujianhao1997@qq.com>
Co-authored-by: Yuchen Cheng <rudeigerc@gmail.com>
Co-authored-by: Kay Yan <kay.yan@daocloud.io>
Co-authored-by: Caproni <40862361+Capronir@users.noreply.github.com>
Co-authored-by: Ximingwang-09 <72070413+Ximingwang-09@users.noreply.github.com>
Co-authored-by: 纬杭 <ximing.wxm@antgroup.com>
Co-authored-by: zyksir <zyksir@outlook.com>
Co-authored-by: SijiaYang <yangsijia.614@bytedance.com>
Co-authored-by: yicwang <yichen.wang@bytedance.com>
Co-authored-by: Leng Yue <lengyue@lengyue.me>
Co-authored-by: Qi Yuhang <45795032+HydraQYH@users.noreply.github.com>
Co-authored-by: Gang Chen <13298548+MoonBall@users.noreply.github.com>
Co-authored-by: Pranjal Shankhdhar <pranjal.ssh@gmail.com>
Co-authored-by: jay <jthakur@habana.ai>
DiweiSun pushed a commit to DiweiSun/sglang that referenced this pull request Jul 18, 2025
@fzyzcjy @DiweiSun
Revert "[PD Disaggregation] replace transfer with batch transfer for …
05fec4c 
…better performance (sgl-project#7236)" (sgl-project#7968)
shuaills pushed a commit to shuaills/sglang that referenced this pull request Jul 21, 2025
@ssssnow @shuaills
[PD Disaggregation] replace transfer with batch transfer for better p…
3ba79c1 
…erformance (sgl-project#7236)
shuaills pushed a commit to shuaills/sglang that referenced this pull request Jul 21, 2025
@fzyzcjy @shuaills
Revert "[PD Disaggregation] replace transfer with batch transfer for …
49ae622 
…better performance (sgl-project#7236)" (sgl-project#7968)
fzyzcjy added a commit to fzyzcjy/sglang that referenced this pull request Jul 22, 2025
@fzyzcjy
Revert "Revert "[PD Disaggregation] replace transfer with batch trans…
f2e60f6 
…fer for better performance (sgl-project#7236)" (sgl-project#7968)"

This reverts commit 880221b.
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