diff --git a/libcudacxx/include/cuda/__warp_communication/warp_shuffle.h b/libcudacxx/include/cuda/__warp_communication/warp_shuffle.h
new file mode 100644
index 00000000000..8c517019ca9
--- /dev/null
+++ b/libcudacxx/include/cuda/__warp_communication/warp_shuffle.h
@@ -0,0 +1,169 @@
+//===----------------------------------------------------------------------===//
+//
+// Part of libcu++, the C++ Standard Library for your entire system,
+// under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+// SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPO__RATION & AFFILIATES.
+//
+//===----------------------------------------------------------------------===//
+
+#ifndef _CUDA___WARP_COMMUNICATION_SHFL_H
+#define _CUDA___WARP_COMMUNICATION_SHFL_H
+
+#include <cuda/std/detail/__config>
+
+#include "cuda/__cccl_config"
+
+#if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC)
+#  pragma GCC system_header
+#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG)
+#  pragma clang system_header
+#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC)
+#  pragma system_header
+#endif // no system header
+
+#include <cuda/__cmath/ceil_div.h>
+#include <cuda/__ptx/instructions/get_sreg.h>
+#include <cuda/__ptx/instructions/shfl_sync.h>
+#include <cuda/std/__bit/has_single_bit.h>
+#include <cuda/std/__concepts/concept_macros.h>
+#include <cuda/std/__type_traits/integral_constant.h>
+#include <cuda/std/cstdint>
+
+_LIBCUDACXX_BEGIN_NAMESPACE_CUDA
+
+template <typename _Tp>
+struct WarpShuffleResult
+{
+  _Tp data;
+  bool pred;
+
+  _CCCL_NODISCARD _CCCL_HIDE_FROM_ABI _CCCL_DEVICE operator _Tp() const
+  {
+    return data;
+  }
+};
+
+template <int _Width = 32, typename _Tp>
+_CCCL_NODISCARD _CCCL_HIDE_FROM_ABI _CCCL_DEVICE WarpShuffleResult<_Tp> warp_shuffle(
+  _Tp __data, int __src_lane, uint32_t __lane_mask = 0xFFFFFFFF, _CUDA_VSTD::integral_constant<int, _Width> = {})
+{
+  constexpr int __warp_size = 32;
+  static_assert(_CUDA_VSTD::has_single_bit(static_cast<uint32_t>(_Width)) && _Width >= 1 && _Width <= __warp_size,
+                "_Width must be a power of 2 and less or equal to the warp size");
+  if constexpr (_Width == 1)
+  {
+    return WarpShuffleResult<_Tp>{__data, true};
+  }
+  else
+  {
+    constexpr auto __ratio = ::cuda::ceil_div(sizeof(_Tp), sizeof(uint32_t));
+    auto __clamp_segmask   = (_Width - 1) | ((__warp_size - _Width) << 8);
+    bool __pred;
+    uint32_t __array[__ratio];
+    ::memcpy(static_cast<void*>(__array), static_cast<void*>(&__data), sizeof(_Tp));
+#pragma unroll
+    for (int i = 0; i < __ratio; ++i)
+    {
+      __array[i] = ::cuda::ptx::shfl_sync_idx(__array[i], __pred, __src_lane, __clamp_segmask, __lane_mask);
+    }
+    _Tp __result;
+    ::memcpy(static_cast<void*>(&__result), static_cast<void*>(__array), sizeof(_Tp));
+    return WarpShuffleResult<_Tp>{__result, __pred};
+  }
+}
+
+template <int _Width = 32, typename _Tp>
+_CCCL_NODISCARD _CCCL_HIDE_FROM_ABI _CCCL_DEVICE WarpShuffleResult<_Tp> warp_shuffle_up(
+  _Tp __data, int __delta, uint32_t __lane_mask = 0xFFFFFFFF, _CUDA_VSTD::integral_constant<int, _Width> = {})
+{
+  constexpr int __warp_size = 32;
+  static_assert(_CUDA_VSTD::has_single_bit(static_cast<uint32_t>(_Width)) && _Width >= 1 && _Width <= __warp_size,
+                "_Width must be a power of 2 and less or equal to the warp size");
+  _CCCL_ASSERT(__delta >= 1 && __delta < _Width, "delta must be in the range [1, _Width)");
+  if constexpr (_Width == 1)
+  {
+    return WarpShuffleResult<_Tp>{__data, true};
+  }
+  else
+  {
+    constexpr auto __ratio = ::cuda::ceil_div(sizeof(_Tp), sizeof(uint32_t));
+    auto __clamp_segmask   = (_Width - 1) | ((__warp_size - _Width) << 8);
+    bool __pred;
+    uint32_t __array[__ratio];
+    ::memcpy(static_cast<void*>(__array), static_cast<void*>(&__data), sizeof(_Tp));
+#pragma unroll
+    for (int i = 0; i < __ratio; ++i)
+    {
+      __array[i] = ::cuda::ptx::shfl_sync_up(__array[i], __pred, __delta, __clamp_segmask, __lane_mask);
+    }
+    _Tp __result;
+    ::memcpy(static_cast<void*>(&__result), static_cast<void*>(__array), sizeof(_Tp));
+    return WarpShuffleResult<_Tp>{__result, __pred};
+  }
+}
+
+template <int _Width = 32, typename _Tp>
+_CCCL_NODISCARD _CCCL_HIDE_FROM_ABI _CCCL_DEVICE WarpShuffleResult<_Tp> warp_shuffle_down(
+  _Tp __data, int __delta, uint32_t __lane_mask = 0xFFFFFFFF, _CUDA_VSTD::integral_constant<int, _Width> = {})
+{
+  constexpr int __warp_size = 32;
+  static_assert(_CUDA_VSTD::has_single_bit(static_cast<uint32_t>(_Width)) && _Width >= 1 && _Width <= __warp_size,
+                "_Width must be a power of 2 and less or equal to the warp size");
+  _CCCL_ASSERT(__delta >= 1 && __delta < _Width, "delta must be in the range [1, _Width)");
+  if constexpr (_Width == 1)
+  {
+    return WarpShuffleResult<_Tp>{__data, true};
+  }
+  else
+  {
+    constexpr auto __ratio = ::cuda::ceil_div(sizeof(_Tp), sizeof(uint32_t));
+    auto __clamp_segmask   = (_Width - 1) | ((__warp_size - _Width) << 8);
+    bool __pred;
+    uint32_t __array[__ratio];
+    ::memcpy(static_cast<void*>(__array), static_cast<void*>(&__data), sizeof(_Tp));
+#pragma unroll
+    for (int i = 0; i < __ratio; ++i)
+    {
+      __array[i] = ::cuda::ptx::shfl_sync_down(__array[i], __pred, __delta, __clamp_segmask, __lane_mask);
+    }
+    _Tp __result;
+    ::memcpy(static_cast<void*>(&__result), static_cast<void*>(__array), sizeof(_Tp));
+    return WarpShuffleResult<_Tp>{__result, __pred};
+  }
+}
+
+template <int _Width = 32, typename _Tp>
+_CCCL_NODISCARD _CCCL_HIDE_FROM_ABI _CCCL_DEVICE WarpShuffleResult<_Tp> warp_shuffle_xor(
+  _Tp __data, int __xor_mask, uint32_t __lane_mask = 0xFFFFFFFF, _CUDA_VSTD::integral_constant<int, _Width> = {})
+{
+  constexpr int __warp_size = 32;
+  static_assert(_CUDA_VSTD::has_single_bit(static_cast<uint32_t>(_Width)) && _Width >= 1 && _Width <= __warp_size,
+                "_Width must be a power of 2 and less or equal to the warp size");
+  _CCCL_ASSERT(__xor_mask >= 1 && __xor_mask < _Width, "delta must be in the range [1, _Width)");
+  if constexpr (_Width == 1)
+  {
+    return WarpShuffleResult<_Tp>{__data, true};
+  }
+  else
+  {
+    constexpr auto __ratio = ::cuda::ceil_div(sizeof(_Tp), sizeof(uint32_t));
+    auto __clamp_segmask   = (_Width - 1) | ((__warp_size - _Width) << 8);
+    bool __pred;
+    uint32_t __array[__ratio];
+    ::memcpy(static_cast<void*>(__array), static_cast<void*>(&__data), sizeof(_Tp));
+#pragma unroll
+    for (int i = 0; i < __ratio; ++i)
+    {
+      __array[i] = ::cuda::ptx::shfl_sync_bfly(__array[i], __pred, __xor_mask, __clamp_segmask, __lane_mask);
+    }
+    _Tp __result;
+    ::memcpy(static_cast<void*>(&__result), static_cast<void*>(__array), sizeof(_Tp));
+    return WarpShuffleResult<_Tp>{__result, __pred};
+  }
+}
+
+_LIBCUDACXX_END_NAMESPACE_CUDA
+
+#endif // _CUDA___WARP_COMMUNICATION_SHFL_H
diff --git a/libcudacxx/include/cuda/warp_comm b/libcudacxx/include/cuda/warp_comm
new file mode 100644
index 00000000000..e8067f49df0
--- /dev/null
+++ b/libcudacxx/include/cuda/warp_comm
@@ -0,0 +1,26 @@
+//===----------------------------------------------------------------------===//
+//
+// Part of libcu++, the C++ Standard Library for your entire system,
+// under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+// SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES.
+//
+//===----------------------------------------------------------------------===//
+
+#ifndef _CUDA_WARP_COMM
+#define _CUDA_WARP_COMM
+
+#include <cuda/std/detail/__config>
+
+#if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC)
+#  pragma GCC system_header
+#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG)
+#  pragma clang system_header
+#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC)
+#  pragma system_header
+#endif // no system header
+
+#include <cuda/__warp_communication/warp_shuffle.h>
+
+#endif // _CUDA_WARP_COMM
diff --git a/libcudacxx/test/libcudacxx/cuda/warp_comm/warp_comm.pass.cpp b/libcudacxx/test/libcudacxx/cuda/warp_comm/warp_comm.pass.cpp
new file mode 100644
index 00000000000..0d5498823d6
--- /dev/null
+++ b/libcudacxx/test/libcudacxx/cuda/warp_comm/warp_comm.pass.cpp
@@ -0,0 +1,54 @@
+//===----------------------------------------------------------------------===//
+//
+// Part of the libcu++ Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+// SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES.
+//
+//===----------------------------------------------------------------------===//
+
+#include <cuda/std/array>
+#include <cuda/std/cassert>
+#include <cuda/std/cstdint>
+#include <cuda/warp_comm>
+
+#include <type_traits>
+
+template <int Value>
+inline constexpr auto width_v = cuda::std::integral_constant<int, Value>{};
+
+template <int Value>
+__device__ void warp_shuffle_semantic_test()
+{
+  uint32_t data = threadIdx.x;
+  for (int i = 0; i < 32; i++)
+  {
+    assert(cuda::warp_shuffle(data, i, 0xFFFFFFFF, width_v<Value>) == __shfl_sync(0xFFFFFFFF, data, i, Value));
+  }
+}
+
+template <class T>
+__device__ void type_test(const T& data)
+{}
+
+__device__ void type_test()
+{
+  type_test(cuda::std::array<double, 4>{1.0, 2.0, 3.0, 4.0});
+}
+
+__global__ void test_kernel()
+{
+  warp_shuffle_semantic_test<1>();
+  warp_shuffle_semantic_test<2>();
+  warp_shuffle_semantic_test<4>();
+  warp_shuffle_semantic_test<8>();
+  warp_shuffle_semantic_test<16>();
+  warp_shuffle_semantic_test<32>();
+  type_test();
+}
+
+int main(int, char**)
+{
+  NV_IF_TARGET(NV_IS_HOST, (test_kernel<<<1, 32>>>();))
+  return 0;
+}