Expose cuFile stream register API to Python

cpp/include/kvikio/stream.hpp

@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2023-2025, NVIDIA CORPORATION.
+ * SPDX-FileCopyrightText: Copyright (c) 2023-2026, NVIDIA CORPORATION.
  * SPDX-License-Identifier: Apache-2.0
  */
 #pragma once
@@ -84,4 +84,21 @@ class StreamFuture {
   ~StreamFuture() noexcept;
 };
 
+/**
+ * @brief Registers the CUDA stream to the cuFile subsystem.
+ *
+ * @param stream CUDA stream which queues the async I/O operations
+ * @param flags Specifies when the I/O parameters become valid (submission time or execution time)
+ * and what I/O parameters are page-aligned. For details, refer to
+ * https://docs.nvidia.com/gpudirect-storage/api-reference-guide/index.html#cufilestreamregister
+ */
+void stream_register(CUstream stream, unsigned flags);
+
+/**
+ * @brief Deregisters the CUDA stream from the cuFile subsystem.
+ *
+ * @param stream CUDA stream which queues the async I/O operations
+ */
+void stream_deregister(CUstream stream);
+
 }  // namespace kvikio

cpp/src/stream.cpp

@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION.
+ * SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION.
  * SPDX-License-Identifier: Apache-2.0
  */
 
@@ -92,4 +92,11 @@ StreamFuture::~StreamFuture() noexcept
   }
 }
 
+void stream_register(CUstream stream, unsigned flags)
+{
+  cuFileAPI::instance().StreamRegister(stream, flags);
+}
+
+void stream_deregister(CUstream stream) { cuFileAPI::instance().StreamDeregister(stream); }
+
 }  // namespace kvikio

python/kvikio/kvikio/__init__.py

@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2021-2025, NVIDIA CORPORATION. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2021-2026, NVIDIA CORPORATION. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
 # If libkvikio was installed as a wheel, we must request it to load the library symbols.
@@ -17,6 +17,7 @@
 from kvikio.cufile import CuFile, clear_page_cache, get_page_cache_info
 from kvikio.mmap import Mmap
 from kvikio.remote_file import RemoteEndpointType, RemoteFile, is_remote_file_available
+from kvikio.stream import stream_deregister, stream_register
 
 __all__ = [
     "__git_commit__",
@@ -28,4 +29,6 @@
     "is_remote_file_available",
     "RemoteEndpointType",
     "RemoteFile",
+    "stream_register",
+    "stream_deregister",
 ]

python/kvikio/kvikio/_lib/CMakeLists.txt

@@ -1,13 +1,13 @@
 # =============================================================================
 # cmake-format: off
-# SPDX-FileCopyrightText: Copyright (c) 2022-2025, NVIDIA CORPORATION.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2026, NVIDIA CORPORATION.
 # SPDX-License-Identifier: Apache-2.0
 # cmake-format: on
 # =============================================================================
 
 # Set the list of Cython files to build, one .so per file
 set(cython_modules arr.pyx buffer.pyx defaults.pyx cufile_driver.pyx file_handle.pyx future.pyx
-                   mmap.pyx
+                   mmap.pyx stream.pyx
 )
 
 if(KvikIO_REMOTE_SUPPORT)

python/kvikio/kvikio/_lib/stream.pyx

@@ -0,0 +1,29 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+# distutils: language = c++
+# cython: language_level=3
+
+from libc.stdint cimport uintptr_t
+
+
+cdef extern from "cuda.h":
+    ctypedef void* CUstream
+
+
+cdef extern from "<kvikio/stream.hpp>" nogil:
+    void cpp_stream_register "kvikio::stream_register"(CUstream stream, unsigned flags) except +
+    void cpp_stream_deregister "kvikio::stream_deregister"(CUstream stream) except +
+
+
+def stream_register(stream: uintptr_t, flags: int) -> None:
+    cdef CUstream cpp_stream = <CUstream>stream
+    cdef unsigned int cpp_flags = flags
+    with nogil:
+        cpp_stream_register(cpp_stream, cpp_flags)
+
+
+def stream_deregister(stream) -> None:
+    cdef CUstream cpp_stream = <CUstream>stream
+    with nogil:
+        cpp_stream_deregister(cpp_stream)

python/kvikio/kvikio/stream.py

@@ -0,0 +1,30 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+from kvikio._lib import stream as stream_module  # type: ignore
+
+
+def stream_register(stream, flags: int) -> None:
+    """Registers the CUDA stream to the cuFile subsystem.
+
+    Parameters
+    ----------
+    stream:
+        CUDA stream which queues the async I/O operations
+    flags: int
+        Specifies when the I/O parameters become valid (submission time or execution
+        time) and what I/O parameters are page-aligned. For details, refer to
+        https://docs.nvidia.com/gpudirect-storage/api-reference-guide/index.html#cufilestreamregister
+    """
+    stream_module.stream_register(stream, flags)
+
+
+def stream_deregister(stream) -> None:
+    """Deregisters the CUDA stream from the cuFile subsystem.
+
+    Parameters
+    ----------
+    stream:
+        CUDA stream which queues the async I/O operations
+    """
+    stream_module.stream_deregister(stream)

python/kvikio/tests/test_async_io.py

@@ -1,10 +1,11 @@
-# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2024-2026, NVIDIA CORPORATION. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
 import os
 
 import cupy
 import pytest
+import utils
 
 import kvikio
 import kvikio.defaults
@@ -60,3 +61,27 @@ def test_read_write(tmp_path, size):
     )
     cupy.testing.assert_array_equal(a, b)
     cupy.testing.assert_array_equal(a, c)
+
+
+@pytest.mark.cufile
+def test_stream_register_deregister(tmp_path):
+    """Test the Python API for cuFile stream register and deregister"""
+    filename = tmp_path / "test-file"
+    stream = cupy.cuda.Stream()
+    flags_list = [0x00, 0x01, 0x02, 0x04, 0x08, 0x0F]
+
+    for flags in flags_list:
+        kvikio.stream_register(stream.ptr, flags)
+
+        ref = utils.arange_page_aligned(1024 * 1024)
+        with kvikio.CuFile(filename, "w") as f:
+            future_stream = f.raw_write_async(ref, stream.ptr)
+            assert future_stream.check_bytes_done() == ref.nbytes
+
+        dev_buf = utils.empty_page_aligned(ref.shape)
+        with kvikio.CuFile(filename, "r") as f:
+            future_stream = f.raw_read_async(dev_buf, stream.ptr)
+            assert future_stream.check_bytes_done() == ref.nbytes
+        assert cupy.array_equal(dev_buf, ref)
+
+        kvikio.stream_deregister(stream.ptr)

python/kvikio/tests/utils.py

@@ -1,7 +1,12 @@
-# SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
+import math
 import socket
+from typing import Any
+
+import cupy
+import numpy.typing as npt
 
 
 def localhost() -> str:
@@ -13,3 +18,63 @@ def find_free_port(host: str = localhost()) -> int:
         s.bind((host, 0))
         _, port = s.getsockname()
     return port
+
+
+def empty_page_aligned(
+    shape: int | tuple[int, ...],
+    dtype: npt.DTypeLike = cupy.float64,
+    page_size: int = 4096,
+) -> cupy.ndarray:
+    """Allocate an uninitialized page-aligned CuPy array.
+
+    Parameters
+    ----------
+    shape: int or tuple of ints
+        Shape of the array. Can be an integer for 1D arrays or a tuple of integers
+        for multi-dimensional arrays.
+    dtype: npt.DTypeLike
+        Data type of the array elements. Defaults to ``cupy.float64``.
+    page_size: int
+        Page size in bytes. Defaults to 4096 (4KB).
+
+    Returns
+    -------
+        An uninitialized CuPy array with page-aligned underlying memory.
+    """
+    resolved_dtype: cupy.dtype[Any] = cupy.dtype(dtype)
+    if isinstance(shape, int):
+        shape = (shape,)
+
+    size = math.prod(shape) * resolved_dtype.itemsize
+
+    # Over-allocate for alignment
+    backing_mem = cupy.cuda.Memory(size + page_size - 1)
+    aligned_ptr = (backing_mem.ptr + page_size - 1) & ~(page_size - 1)
+    aligned_memptr = cupy.cuda.MemoryPointer(backing_mem, aligned_ptr - backing_mem.ptr)
+
+    return cupy.ndarray(shape, dtype=dtype, memptr=aligned_memptr)
+
+
+def arange_page_aligned(
+    stop: int, dtype: npt.DTypeLike = cupy.float64, page_size: int = 4096
+) -> cupy.ndarray:
+    """Create a page-aligned CuPy array with incremental values from 0 to ``stop - 1``.
+
+    Parameters
+    ----------
+    stop: int
+        Number of elements. The array will contain values from 0 to ``stop - 1``
+        (exclusive upper bound).
+    dtype: npt.DTypeLike
+        Data type of the array elements. Defaults to ``cupy.float64``.
+    page_size: int
+        Page size in bytes. Defaults to 4096 (4KB).
+
+    Returns
+    -------
+    A CuPy array with values ``[0, 1, ..., stop-1]`` and page-aligned underlying memory.
+    """
+    arr_aligned = empty_page_aligned(stop, dtype=dtype, page_size=page_size)
+    arr_unaligned = cupy.arange(stop, dtype=dtype)
+    cupy.copyto(arr_aligned, arr_unaligned)
+    return arr_aligned