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2. 修改测试脚本，降低显存占用。使用量从17G -> 8G.
Signed-off-by: lijian <lijian6@sugon.com>

Signed-off-by: lijian <lijian6@sugon.com>

Co-authored-by: Yifei Zhang <219273404+yifeizhang-c@users.noreply.github.com>

Signed-off-by: wangfakang <fakangwang@gmail.com>

Signed-off-by: Tailing Yuan <yuantailing@gmail.com>

* Add diagnosis module for precise identification of slow ranks
Signed-off-by: wangfakang <fakangwang@gmail.com>

* Add tests for the slow diagnosis module
Signed-off-by: wangfakang <fakangwang@gmail.com>

* Update some comments for diagnose
Signed-off-by: wangfakang <fakangwang@gmail.com>

* Update test case for diagnose
Signed-off-by: wangfakang <fakangwang@gmail.com>

* Strip the diagnose module, thx LyricZhao and sphish.
Signed-off-by: wangfakang <fakangwang@gmail.com>

* update variable name and cumulative wait recv cost, thx sphish.
Signed-off-by: wangfakang <fakangwang@gmail.com>

* remove invalid comments.
Signed-off-by: wangfakang <fakangwang@gmail.com>

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Signed-off-by: wangfakang <fakangwang@gmail.com>

* Add arg --pressure-test for test_low_latency.py

Add arg --pressure-test for test_low_latency.py
Signed-off-by: Guangguan Wang <guangguan.wang@linux.alibaba.com>

* Export NVSHMEM_QP_DEPTH

Export NVSHMEM_QP_DEPTH
Signed-off-by: Guangguan Wang <guangguan.wang@linux.alibaba.com>

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Signed-off-by: Guangguan Wang <guangguan.wang@linux.alibaba.com>

This enables the CPU-Assisted data path.
Signed-off-by: Seth Howell <sethh@nvidia.com>

* Explicitly destroy the C++ runtime and release resources.

* Small fix

* fix typo

* Add a flag to control whether explicit `destroy()` is required.

* Let forwarders use a dedicated SM

* Shuffle rdma idx

* Sender use TMA.

* Adjust the tuning chunk size.

* Modify NVL chunk layout.

* Update some combine config.

* Small lint

* Minor fix

* Overlap TMA store

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Co-authored-by: Chenggang Zhao <chenggangz@deepseek.com>

* Add LogFMT interface

* Update comments

* Add simulated code

* Fix comments

* Change to 128 channels

* Add notes

* Optimize performance

* optimize simulate logfmt 10bit

* Minor fix

* Stronger low latency tests

* Minor fix

* Stronger low latency tests for logfmt

* Optimize logfmt simulate: lg2/ex2 ptx, step_inv

* Minor fix

* Minor fix

* Add non-logfmt bench

* Fix value=0 for logfmt

* Optimize performance

* Refactor tests

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Co-authored-by: Zhean Xu <xza@deepseek.com>

* Support bias.

* Fix.

* Fix style.

* Add `get_comm_stream`.

* Fix style.

* Use `pynvml` to detect NVLink connections

* Add a TODO

* Add shutdown

* Fix comments

* Update README

* Update `setup.py`

* Fix headers

* Add `DISABLE_NVSHMEM` for APIs

* Fix launch

* Fix TMA settings

* Fix TMA usages

* Fix dlink

* Separate layout kernels

* Update version

* Add `is_sm90_compiled`

* Fix tests

* Add NVLink connection checks

* Update README

* Fix tests

* Add some comments

* Minor fix

* Minor fix

* Fix bugs

* Add low-latency kernel usage flag

* Update comments

* Update CMake files

* Use TMA instead of LD/ST for intranode dispatch

* Use TMA instead of LD/ST for intranode combine

* Adjust configs

* Test default configs as well

* More warps for combine

* Add inter-thread fence

* Enable more warps

* Do not use TMA for senders

* Update configs

* Remove useless wait

Co-authored-by: Shangyan Zhou <sy.zhou@deepseek.com>

In the Internode Normal Kernel, when using nvshmem ibrc for RDMA data transmission, a single QP is used for data transfer between two GPUs, which limits kernel performance in network card dual-port and RoCE network scenarios.

In our optimized Internode Normal Kernel, we implemented multiple QPs for data transmission between two GPUs, setting a different QP for each channel. Additionally, we modified the transmission method from IBRC to IBGAD.

Through these optimizations, the Internode Normal Kernel achieves optimal performance in both H800 and H20 environments, with RDMA transmission performance nearly reaching the physical network performance limit. Using the current default statistical method, in 4-node H800 and H20 environments, RDMA performance can reach 60GB/s+.