diff --git a/csrc/flash_attn/src/flash_bwd_kernel.h b/csrc/flash_attn/src/flash_bwd_kernel.h
index fd23f46..fc5724c 100644
--- a/csrc/flash_attn/src/flash_bwd_kernel.h
+++ b/csrc/flash_attn/src/flash_bwd_kernel.h
@@ -73,11 +73,9 @@ make_tiled_copy_C_warpcontiguousN(Copy_Atom<Args...> const& copy_atom,
 
 ////////////////////////////////////////////////////////////////////////////////////////////////////
 
-template <int THREADS_PER_ROW, typename Engine0, typename Layout0,
-          typename Engine1, typename Layout1, typename Engine2, typename Layout2>
+template <int THREADS_PER_ROW, typename Engine0, typename Layout0, typename Engine1, typename Layout1>
 inline __device__ void dot_do_o(Tensor<Engine0, Layout0> const &do_, Tensor<Engine0, Layout0> const &o,
-                                Tensor<Engine1, Layout1> &dP_sum, Tensor<Engine2, Layout2> &sdPsum,
-                                const int gdP_col_stride, const float scale) {
+                                Tensor<Engine1, Layout1> &dP_sum, const int gdP_col_stride, const float scale) {
     static_assert(Layout0::rank == 3, "Only support 3D Tensor");
     static_assert(Layout1::rank == 1, "Only support 1D Tensor");
     CUTE_STATIC_ASSERT_V(do_.layout() == o.layout());
@@ -100,7 +98,6 @@ inline __device__ void dot_do_o(Tensor<Engine0, Layout0> const &do_, Tensor<Engi
         dP_sum_cur = flash::Allreduce<THREADS_PER_ROW>::run(dP_sum_cur, sum_op) * scale;
         if (threadIdx.x % THREADS_PER_ROW == 0) {
             dP_sum(mi * gdP_col_stride + threadIdx.x / THREADS_PER_ROW) = dP_sum_cur;
-            // recast<float>(sdPsum)(mi * gdP_col_stride + threadIdx.x / THREADS_PER_ROW) = dP_sum;
         }
     }
 }
@@ -178,7 +175,7 @@ inline __device__ void compute_dot_do_o(const Params &params) {
     // By right we need to scale dP up by 1/p_dropout, but instead we don't and only scale the final
     // results (dQ and dK) by 1/p_dropout. So we need to keep dP_sum scaled down by p_dropout here,
     // so that (dP - dP_sum) is on the same scale.
-    dot_do_o<Kernel_traits::kGmemThreadsPerRow>(tdOrdO, tdOrO, dP_sum, dP_sum,
+    dot_do_o<Kernel_traits::kGmemThreadsPerRow>(tdOrdO, tdOrO, dP_sum,
                                                 Kernel_traits::kNThreads / (Kernel_traits::kGmemThreadsPerRow), params.p_dropout);
     if (Clear_dQaccum) {
         Tensor zero = make_fragment_like(tdQgdQaccum);
@@ -517,8 +514,6 @@ inline __device__ void compute_dq_dk_dv_1colblock(const Params &params, const in
     Tensor sPtNoSwizzle = make_tensor(sP.data(), typename Kernel_traits::SmemLayoutPdStransposedNoSwizzle{});
     // sP and sdQ share the same memory so be careful
     Tensor sdQ = make_tensor(sP.data(), typename Kernel_traits::SmemLayoutdQ{});
-    Tensor sdPsum = make_tensor(make_smem_ptr(reinterpret_cast<float2 *>((sP.data() + cute::max(size(sP), size(sdQ))).get())),
-                                Shape<Int<Kernel_traits::kSmemdPsumCount / 2>>{});
 
     typename Kernel_traits::GmemTiledCopyQKV gmem_tiled_copy_QKV;
     auto gmem_thr_copy_QKV = gmem_tiled_copy_QKV.get_thread_slice(tidx);
@@ -733,7 +728,7 @@ inline __device__ void compute_dq_dk_dv_1colblock(const Params &params, const in
     // if (cute::thread0()) { print(tdOgdO.layout()); printf("\n"); print(tdOrdO); print(tdOrO); }
     if (Is_first) {
         cute::copy(tdOrdO, tdOsdO);
-        dot_do_o<Kernel_traits::kGmemThreadsPerRow>(tdOrdO, tdOrO, gdPsum, sdPsum,
+        dot_do_o<Kernel_traits::kGmemThreadsPerRow>(tdOrdO, tdOrO, gdPsum,
                                                     Kernel_traits::kNThreads / (Kernel_traits::kGmemThreadsPerRow), params.p_dropout);
     }
 
@@ -930,11 +925,6 @@ inline __device__ void compute_dq_dk_dv_1colblock(const Params &params, const in
             #pragma unroll
             for (int mi = 0; mi < size(lse); ++mi) { lse(mi) = gLSE(get<0>(taccScS_row(mi))); }
             gdPsum.data() = gdPsum.data() + (-int(kBlockM));
-            // if (!Is_first && tidx < kBlockM / 2) {
-            //     sdPsum(tidx) = recast<float2>(gdPsum)(tidx);
-            // if (!Is_first && tidx < kBlockM) {
-            //     recast<float>(sdPsum)(tidx) = gdPsum(tidx);
-            // }
         }
 
         if (!Is_last) {
@@ -976,7 +966,7 @@ inline __device__ void compute_dq_dk_dv_1colblock(const Params &params, const in
 
         if (Is_first && m_block > m_block_min) {
             cute::copy(tdOrdO, tdOsdO);
-            dot_do_o<Kernel_traits::kGmemThreadsPerRow>(tdOrdO, tdOrO, gdPsum, sdPsum,
+            dot_do_o<Kernel_traits::kGmemThreadsPerRow>(tdOrdO, tdOrO, gdPsum,
                                                         Kernel_traits::kNThreads / (Kernel_traits::kGmemThreadsPerRow), params.p_dropout);
         }
 
@@ -1317,7 +1307,7 @@ inline __device__ void compute_dq_dk_dv_1rowblock(const Params &params, const in
     Tensor dP_sum = make_fragment_like(lse);
     cute::copy(tdOrdO, tdOsdO);
     dot_do_o<Kernel_traits::kGmemThreadsPerRow>(
-        tdOrdO, tdOrO, sdPsum, sdPsum,
+        tdOrdO, tdOrO, sdPsum,
         Kernel_traits::kNThreads / (Kernel_traits::kGmemThreadsPerRow), params.p_dropout
     );
     __syncthreads();
diff --git a/csrc/flash_attn/src/kernel_traits.h b/csrc/flash_attn/src/kernel_traits.h
index c7f2e4b..e7d605f 100644
--- a/csrc/flash_attn/src/kernel_traits.h
+++ b/csrc/flash_attn/src/kernel_traits.h
@@ -321,6 +321,10 @@ struct Flash_bwd_kernel_traits : public Base {
     static constexpr int kSmemdSSize = kSmemdSCount * sizeof(Element);
     static constexpr int kSmemPSize = kSmemPCount * sizeof(Element);
     static constexpr int kSmemdQSize = kSmemdQCount * sizeof(Element);
+    static constexpr int kSmemSize = kSmemQdOSize
+        + (!Is_V_in_regs
+           ? kSmemKVSize + kSmemdSSize + std::max(kSmemPSize, kSmemdQSize)
+           : std::max(kSmemKVSize, kSmemKVSize / 2 + kSmemdSSize + std::max(kSmemPSize, kSmemdQSize)));
     static constexpr int kSmemSize1colblock = kSmemQdOSize
         + (!Is_V_in_regs
            ? kSmemKVSize + kSmemdSSize + kSmemPSize