diff --git a/examples/cute/tutorial/xe_gemm.cpp b/examples/cute/tutorial/xe_gemm.cpp
index 887c23599d..ce82b6be88 100644
--- a/examples/cute/tutorial/xe_gemm.cpp
+++ b/examples/cute/tutorial/xe_gemm.cpp
@@ -86,7 +86,7 @@ gemm_device(ATensor   const& A,         // (M,K)
   /* Create block 2D TiledCopies */
   auto copy_a = make_block_2d_copy_A(mma, A);
   auto copy_b = make_block_2d_copy_B(mma, B);
-  auto copy_c = make_block_2d_copy_C(mma, C);
+  auto copy_c = make_block_2d_copy_D(mma, C);
 
   /* Slice TiledCopy/TiledMMA operations to thread (work-item) level */
   auto thr_mma    =    mma.get_slice(local_id);
diff --git a/include/cute/atom/copy_traits_xe_2d.hpp b/include/cute/atom/copy_traits_xe_2d.hpp
index 2df8ae0a38..adb124673a 100644
--- a/include/cute/atom/copy_traits_xe_2d.hpp
+++ b/include/cute/atom/copy_traits_xe_2d.hpp
@@ -911,15 +911,25 @@ make_block_2d_copy_C(TiledMMA                 const& mma,   // TiledMMA instance
   return make_block_2d_copy_C<ValType>(mma, gmem.stride()).with(gmem);
 }
 
-template <class TiledMMA, class CopyOp, class GEngine, class GLayout>
+template <class TiledMMA, class GEngine, class GLayout>
 CUTE_HOST_DEVICE
 auto
-make_block_2d_copy_C(CopyOp                   const& op,    // Copy operation
-                     TiledMMA                 const& mma,   // TiledMMA instance
+make_block_2d_copy_D(TiledMMA                 const& mma,   // TiledMMA instance
                      Tensor<GEngine, GLayout> const& gmem)  // Global tensor
 {
   using ValType = typename GEngine::value_type;
-  return make_block_2d_copy_C<ValType>(op, mma, gmem.stride()).with(gmem);
+  return make_block_2d_copy_D<ValType>(mma, gmem.stride()).with(gmem);
+}
+
+template <class TiledMMA, class CopyOp, class GEngine, class GLayout>
+CUTE_HOST_DEVICE
+auto
+make_block_2d_copy_CD(CopyOp                   const& op,    // Copy operation
+                      TiledMMA                 const& mma,   // TiledMMA instance
+                      Tensor<GEngine, GLayout> const& gmem)  // Global tensor
+{
+  using ValType = typename GEngine::value_type;
+  return make_block_2d_copy_CD<ValType>(op, mma, gmem.stride()).with(gmem);
 }
 
 template <class ValType, class TiledMMA, class... Strides>
@@ -928,32 +938,46 @@ auto
 make_block_2d_copy_C(TiledMMA           const& mma,         // TiledMMA instance
                      Stride<Strides...> const& gstride)     // Global memory strides
 {
-  using MMAType = typename TiledMMA::ValTypeA;
+  using MMAType = typename TiledMMA::ValTypeC;
   auto cC = make_identity_tensor(select<0,1>(mma.tile_mnk()));
-  auto op = block_2d_selector<ValType, MMAType, true>(
+  auto op = block_2d_selector<ValType, MMAType>(
     mma.get_slice(0).atom_partition_C(cC).layout(), gstride
   );
-  return make_block_2d_copy_C<ValType>(op, mma, gstride);
+  return make_block_2d_copy_CD<ValType>(op, mma, gstride);
 }
 
-template <class ValType, class TiledMMA, class CopyOp, class... Strides>
+template <class ValType, class TiledMMA, class... Strides>
 CUTE_HOST_DEVICE
 auto
-make_block_2d_copy_C(CopyOp             const& op,          // Copy operation
-                     TiledMMA           const& mma,         // TiledMMA instance
+make_block_2d_copy_D(TiledMMA           const& mma,         // TiledMMA instance
                      Stride<Strides...> const& gstride)     // Global memory strides
 {
-  return make_block_2d_copy_C<ValType>(op, mma, gstride, find_x_mode(gstride), find_y_mode(gstride));
+  using MMAType = typename TiledMMA::ValTypeD;
+  auto cD = make_identity_tensor(select<0,1>(mma.tile_mnk()));
+  auto op = block_2d_selector<ValType, MMAType, true>(
+    mma.get_slice(0).atom_partition_C(cD).layout(), gstride
+  );
+  return make_block_2d_copy_CD<ValType>(op, mma, gstride);
+}
+
+template <class ValType, class TiledMMA, class CopyOp, class... Strides>
+CUTE_HOST_DEVICE
+auto
+make_block_2d_copy_CD(CopyOp             const& op,          // Copy operation
+                      TiledMMA           const& mma,         // TiledMMA instance
+                      Stride<Strides...> const& gstride)     // Global memory strides
+{
+  return make_block_2d_copy_CD<ValType>(op, mma, gstride, find_x_mode(gstride), find_y_mode(gstride));
 }
 
 template <class ValType, class TiledMMA, class CopyOp, class... Strides, class XMode, class YMode>
 CUTE_HOST_DEVICE
 auto
-make_block_2d_copy_C(CopyOp             const& op,          // Copy operation
-                     TiledMMA           const& mma,         // TiledMMA instance
-                     Stride<Strides...> const& gstride,     // Global memory strides
-                     XMode              const& x_mode,      // x, y modes
-                     YMode              const& y_mode)
+make_block_2d_copy_CD(CopyOp             const& op,          // Copy operation
+                      TiledMMA           const& mma,         // TiledMMA instance
+                      Stride<Strides...> const& gstride,     // Global memory strides
+                      XMode              const& x_mode,      // x, y modes
+                      YMode              const& y_mode)
 {
   // Retrieve MMA atom's (subgroup, value) -> (M,N) layout
   auto tile_mn = select<0,1>(mma.tile_mnk());
diff --git a/media/docs/cpp/xe_rearchitecture.md b/media/docs/cpp/xe_rearchitecture.md
index 7e5c49bfb4..45021aba51 100644
--- a/media/docs/cpp/xe_rearchitecture.md
+++ b/media/docs/cpp/xe_rearchitecture.md
@@ -147,7 +147,7 @@ struct Copy_Traits</* Op */, XMode, YMode, ValType, TiledStrides>;
 
 Since it can be a tricky to correctly choose block 2D parameters and set up an appropriate tiling, we introduce several helpers for creating TiledCopy objects.
 
-The high-level APIs `make_block_2d_copy_{A,B,C}` automatically create TiledCopy objects for use with an existing `TiledMMA`. They choose the copy operation and trait template parameters heuristically.
+The high-level APIs `make_block_2d_copy_{A,B,C,D}` automatically create TiledCopy objects for use with an existing `TiledMMA`. They choose the copy operation and trait template parameters heuristically. Note that `make_block_2d_copy_C` and `make_block_2d_copy_D` only differ in their choice of a load (C) or store (D) operation.
 
 ```c++
 template <class Engine, class Layout, /*...*/>
@@ -167,6 +167,12 @@ CUTE_DEVICE
 TiledCopy<...>
 make_block_2d_copy_C(const TiledMMA<...>&,
                      const Tensor<Engine, Layout>& gmem);       // (M,N,...)
+
+template <class Engine, class Layout, /*...*/>
+CUTE_DEVICE
+TiledCopy<...>
+make_block_2d_copy_D(const TiledMMA<...>&,
+                     const Tensor<Engine, Layout>& gmem);       // (M,N,...)
 ```
 
 The user may also override the choice of copy operation:
@@ -179,7 +185,15 @@ make_block_2d_copy_A(CopyOp                   const& op,     // Copy operation
                      TiledMMA                 const& mma,    // TiledMMA instance
                      Tensor<GEngine, GLayout> const& gmem);  // Global tensor
 
-/* Similarly for B/C */
+/* Similarly for B */
+
+/* Single routine for both C/D */
+template <class TiledMMA, class CopyOp, class GEngine, class GLayout>
+CUTE_HOST_DEVICE
+auto
+make_block_2d_copy_CD(CopyOp                   const& op,     // Copy operation
+                      TiledMMA                 const& mma,    // TiledMMA instance
+                      Tensor<GEngine, GLayout> const& gmem);  // Global tensor
 ```
 
 The `make_block_2d_copy_*` family of functions create TiledCopy objects that match the scope of the TiledMMA. That is, the set of threads participating in the TiledMMA will also participate in the TiledCopy.
@@ -194,7 +208,7 @@ TiledCopy
 make_block_2d_copy(const CopyOp& op, const Tensor<Engine, Layout>& gmem);
 ```
 
-For advanced usage, there are additional overloads of `make_block_2d_copy` that allow more general work distributions for copies (see `include/cute/atom/copy_traits_xe_2d.hpp`).
+For advanced usage, there are additional overloads of `make_block_2d_copy` in which multiple subgroups participate (see `include/cute/atom/copy_traits_xe_2d.hpp`).
 
 As the `CUTE_DEVICE` decorators imply, all the APIs above should be called from device code only, as they set up internal state that cannot be transferred from host to device.
 
@@ -419,7 +433,7 @@ gemm_device(ATensor   const& A,         // (M,K)
   /* Create block 2D TiledCopies */
   auto copy_a = make_block_2d_copy_A(mma, A);
   auto copy_b = make_block_2d_copy_B(mma, B);
-  auto copy_c = make_block_2d_copy_C(mma, C);
+  auto copy_c = make_block_2d_copy_D(mma, C);
 
   /* Slice TiledCopy/TiledMMA operations to thread (work-item) level */
   auto thr_mma    =    mma.get_slice(local_id);