Several code lints

README.md

@@ -17,19 +17,11 @@ We test normal kernels on H800 (~160 GB/s NVLink maximum bandwidth), with each c
 |   Type    | Dispatch #EP | Bottleneck bandwidth | Combine #EP | Bottleneck bandwidth |
 |:---------:|:------------:|:--------------------:|:-----------:|:--------------------:|
 | Intranode |      8       |  153 GB/s (NVLink)   |      8      |  158 GB/s (NVLink)   |
-| Internode |      16      |    43 GB/s (RDMA)    |     16      |    43 GB/s (RDMA)    |
-| Internode |      32      |    44 GB/s (RDMA)    |     32      |    47 GB/s (RDMA)    |
-| Internode |      64      |    46 GB/s (RDMA)    |     64      |    45 GB/s (RDMA)    |
-
-Through in-depth optimization, the following enhancements have been implemented in the Internode Normal Kernel: 1) Replacing IBRC with IBGDA, and 2) Utilizing distinct QPs (Queue Pairs) per channel for parallel data transmission. These improvements not only enhance the robustness of the Internode Normal Kernel in scenarios involving dual-port NICs and RoCE networks but also further elevate communication performance.
-
-|   Type    | Dispatch #EP | Bottleneck bandwidth | Combine #EP | Bottleneck bandwidth |
-|:---------:|:------------:|:--------------------:|:-----------:|:--------------------:|
 | Internode |      16      |    47 GB/s (RDMA)    |     16      |    62 GB/s (RDMA)    |
 | Internode |      32      |    59 GB/s (RDMA)    |     32      |    60 GB/s (RDMA)    |
 | Internode |      64      |    49 GB/s (RDMA)    |     64      |    51 GB/s (RDMA)    |
 
-The performance optimization solution for Internode Normal Kernel was jointly completed by our team and Tencent Network Platform Department.
+**News (2025.04.22)**: the performance is optimized by 5-35% by Tencent Network Platform Department, see [#130](https://github.com/deepseek-ai/DeepEP/pull/130) for more details. Thanks for the contribution!
 
 ### Low-latency kernels with pure RDMA
 

csrc/kernels/ibgda_device.cuh

@@ -413,7 +413,7 @@ __device__ static __forceinline__ void ibgda_write_amo_add_wqe(
 __device__ __forceinline__ void nvshmemi_ibgda_amo_nonfetch_add(void *rptr, const int& value, int pe, int qp_id, bool is_local_copy = false) {
     if (is_local_copy) {
         // Fallback to NVSHMEM legacy API 
-        nvshmemx_signal_op(reinterpret_cast<uint64_t*>(rptr), value, NVSHMEM_SIGNAL_ADD, pe);
+        nvshmemx_signal_op(static_cast<uint64_t*>(rptr), value, NVSHMEM_SIGNAL_ADD, pe);
     } else {
         nvshmemi_ibgda_device_qp_t *qp = ibgda_get_rc(pe, qp_id);
 

csrc/kernels/internode.cu

@@ -724,9 +724,10 @@ dispatch(int4* recv_x, float* recv_x_scales, int64_t* recv_topk_idx, float* recv
                     const size_t num_bytes_per_msg = num_bytes_per_rdma_token * num_tokens_to_issue;
                     const auto dst_ptr = reinterpret_cast<uint64_t>(rdma_channel_data.recv_buffer(rdma_rank) + dst_slot_idx * num_bytes_per_rdma_token);
                     const auto src_ptr = reinterpret_cast<uint64_t>(rdma_channel_data.send_buffer(dst_rdma_rank) + dst_slot_idx * num_bytes_per_rdma_token);
-                    if (lane_id == dst_rdma_rank)
+                    if (lane_id == dst_rdma_rank) {
                         nvshmemi_ibgda_put_nbi_thread(dst_ptr, src_ptr, num_bytes_per_msg,
                                                       translate_dst_rdma_rank<kLowLatencyMode>(dst_rdma_rank, nvl_rank), channel_id, false);
+                    }
                 } else {
                     // Lighter fence for local RDMA rank
                     memory_fence();
@@ -1573,9 +1574,11 @@ combine(int4* combined_x, float* combined_topk_weights,
                         const size_t num_bytes_per_msg = num_chunked_tokens * num_bytes_per_rdma_token;
                         const auto dst_ptr = reinterpret_cast<uint64_t>(rdma_channel_data.recv_buffer(rdma_rank) + rdma_slot_idx * num_bytes_per_rdma_token);
                         const auto src_ptr = reinterpret_cast<uint64_t>(rdma_channel_data.send_buffer(dst_rdma_rank) + rdma_slot_idx * num_bytes_per_rdma_token);
-                        if (lane_id == 0)
+                        if (lane_id == 0) {
+                            // TODO: use the full warp to do this
                             nvshmemi_ibgda_put_nbi_thread(dst_ptr, src_ptr, num_bytes_per_msg,
                                                           translate_dst_rdma_rank<kLowLatencyMode>(dst_rdma_rank, nvl_rank), channel_id, false);
+                        }
                     } else {
                         memory_fence();
                     }

deep_ep/buffer.py

@@ -31,7 +31,7 @@ class Buffer:
 
     def __init__(self, group: dist.ProcessGroup,
                  num_nvl_bytes: int = 0, num_rdma_bytes: int = 0,
-                 low_latency_mode: bool = False, num_qps_per_rank: int = 1) -> None:
+                 low_latency_mode: bool = False, num_qps_per_rank: int = 12) -> None:
         """
         Initialize the communication buffer.