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4 changes: 1 addition & 3 deletions cpp/benchmarks/ast/transform.cpp
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
/*
* SPDX-FileCopyrightText: Copyright (c) 2020-2026, NVIDIA CORPORATION.
* SPDX-FileCopyrightText: Copyright (c) 2020-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*/

Expand All @@ -17,8 +17,6 @@
#include <cudf/utilities/default_stream.hpp>
#include <cudf/utilities/error.hpp>

#include <rmm/cuda_stream_view.hpp>

#include <cuda/iterator>

#include <nvbench/nvbench.cuh>
Expand Down
6 changes: 3 additions & 3 deletions cpp/benchmarks/binaryop/binaryop.cpp
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
/*
* SPDX-FileCopyrightText: Copyright (c) 2020-2026, NVIDIA CORPORATION.
* SPDX-FileCopyrightText: Copyright (c) 2020-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*/

Expand Down Expand Up @@ -104,7 +104,7 @@ static void BM_string_compare_binaryop_transform(nvbench::state& state)
auto const mem_stats_logger = cudf::memory_stats_logger();

state.exec(nvbench::exec_tag::sync, [&](nvbench::launch& launch) {
rmm::cuda_stream_view stream{launch.get_stream().get_stream()};
cuda::stream_ref stream{launch.get_stream().get_stream()};
std::unique_ptr<cudf::column> reduction =
cudf::binary_operation(table.get_column(0), table.get_column(1), cmp_op, bool_type, stream);
std::for_each(
Expand All @@ -115,7 +115,7 @@ static void BM_string_compare_binaryop_transform(nvbench::state& state)
table.get_column(idx * 2), table.get_column(idx * 2 + 1), cmp_op, bool_type, stream);
std::unique_ptr<cudf::column> reduced =
cudf::binary_operation(*comparison, *reduction, reduce_op, bool_type, stream);
stream.synchronize();
stream.sync();
reduction = std::move(reduced);
});
});
Expand Down
4 changes: 2 additions & 2 deletions cpp/benchmarks/binaryop/polynomials.cpp
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
/*
* SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION.
* SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*/

Expand Down Expand Up @@ -58,7 +58,7 @@ static void BM_binaryop_polynomials(nvbench::state& state)
state.exec(nvbench::exec_tag::sync, [&](nvbench::launch& launch) {
// computes polynomials: (((ax + b)x + c)x + d)x + e... = ax**4 + bx**3 + cx**2 + dx + e....
cudf::benchmark::scoped_range range{"benchmark_iteration"};
rmm::cuda_stream_view stream{launch.get_stream().get_stream()};
cuda::stream_ref stream{launch.get_stream().get_stream()};
std::vector<std::unique_ptr<cudf::column>> intermediates;

auto result = cudf::make_column_from_scalar(constants[0], num_rows, stream);
Expand Down
6 changes: 3 additions & 3 deletions cpp/benchmarks/bitmask/bitmask_and.cpp
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
/*
* SPDX-FileCopyrightText: Copyright (c) 2020-2026, NVIDIA CORPORATION.
* SPDX-FileCopyrightText: Copyright (c) 2020-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*/

Expand Down Expand Up @@ -70,7 +70,7 @@ void BM_segmented_bitmask_and(nvbench::state& state)

auto [segments, masks, mask_pointers, mask_begin_bits, data_bytes] = setup_masks(state);

state.set_cuda_stream(nvbench::make_cuda_stream_view(cudf::get_default_stream().value()));
state.set_cuda_stream(nvbench::make_cuda_stream_view(cudf::get_default_stream().get()));
state.add_element_count(data_bytes, "input size");
state.template add_global_memory_reads<nvbench::int8_t>(data_bytes);
auto const mem_stats_logger = cudf::memory_stats_logger();
Expand All @@ -91,7 +91,7 @@ void BM_multi_segment_bitmask_and(nvbench::state& state)

auto [segments, masks, mask_pointers, mask_begin_bits, data_bytes] = setup_masks(state);

state.set_cuda_stream(nvbench::make_cuda_stream_view(cudf::get_default_stream().value()));
state.set_cuda_stream(nvbench::make_cuda_stream_view(cudf::get_default_stream().get()));
state.add_element_count(data_bytes, "input size");
state.template add_global_memory_reads<nvbench::int8_t>(data_bytes);
auto const mem_stats_logger = cudf::memory_stats_logger();
Expand Down
10 changes: 5 additions & 5 deletions cpp/benchmarks/bitmask/set_null_mask.cpp
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
/*
* SPDX-FileCopyrightText: Copyright (c) 2020-2026, NVIDIA CORPORATION.
* SPDX-FileCopyrightText: Copyright (c) 2020-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*/

Expand Down Expand Up @@ -61,7 +61,7 @@ void BM_setnullmask(nvbench::state& state)
rmm::device_buffer mask = cudf::create_null_mask(mask_size, cudf::mask_state::UNINITIALIZED);
auto begin = 0, end = mask_size;

state.set_cuda_stream(nvbench::make_cuda_stream_view(cudf::get_default_stream().value()));
state.set_cuda_stream(nvbench::make_cuda_stream_view(cudf::get_default_stream().get()));
auto const mem_stats_logger = cudf::memory_stats_logger();

state.exec(nvbench::exec_tag::sync | nvbench::exec_tag::timer,
Expand Down Expand Up @@ -90,7 +90,7 @@ void BM_setnullmask_unsafe_bulk(nvbench::state& state)
auto [begin_bits, end_bits, valids, masks, masks_ptr] =
generate_test_data(num_masks, mask_size, use_variable_mask_sizes);

state.set_cuda_stream(nvbench::make_cuda_stream_view(cudf::get_default_stream().value()));
state.set_cuda_stream(nvbench::make_cuda_stream_view(cudf::get_default_stream().get()));
auto const mem_stats_logger = cudf::memory_stats_logger();

state.exec(nvbench::exec_tag::sync | nvbench::exec_tag::timer,
Expand Down Expand Up @@ -118,7 +118,7 @@ void BM_setnullmask_safe_bulk(nvbench::state& state)
auto [begin_bits, end_bits, valids, masks, masks_ptr] =
generate_test_data(num_masks, mask_size, use_variable_mask_sizes);

state.set_cuda_stream(nvbench::make_cuda_stream_view(cudf::get_default_stream().value()));
state.set_cuda_stream(nvbench::make_cuda_stream_view(cudf::get_default_stream().get()));
auto const mem_stats_logger = cudf::memory_stats_logger();

state.exec(nvbench::exec_tag::sync | nvbench::exec_tag::timer,
Expand Down Expand Up @@ -146,7 +146,7 @@ void BM_setnullmask_loop(nvbench::state& state)
auto [begin_bits, end_bits, valids, masks, masks_ptr] =
generate_test_data(num_masks, mask_size, use_variable_mask_sizes);

state.set_cuda_stream(nvbench::make_cuda_stream_view(cudf::get_default_stream().value()));
state.set_cuda_stream(nvbench::make_cuda_stream_view(cudf::get_default_stream().get()));
auto const mem_stats_logger = cudf::memory_stats_logger();

state.exec(nvbench::exec_tag::sync | nvbench::exec_tag::timer,
Expand Down
23 changes: 12 additions & 11 deletions cpp/benchmarks/common/ndsh_data_generator/ndsh_data_generator.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -24,9 +24,10 @@
#include <cudf/transform.hpp>
#include <cudf/unary.hpp>

#include <rmm/cuda_stream_view.hpp>
#include <rmm/resource_ref.hpp>

#include <cuda/stream>

#include <array>
#include <string>
#include <vector>
Expand Down Expand Up @@ -142,7 +143,7 @@ constexpr std::array vocab_containers{
* @param mr Device memory resource used to allocate the returned column's device memory
*/
std::unique_ptr<cudf::table> generate_orders_independent(double scale_factor,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr)
{
CUDF_BENCHMARK_RANGE();
Expand Down Expand Up @@ -266,7 +267,7 @@ std::unique_ptr<cudf::table> generate_orders_independent(double scale_factor,
*/
std::unique_ptr<cudf::table> generate_lineitem_partial(cudf::table_view const& orders_independent,
double scale_factor,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr)
{
CUDF_BENCHMARK_RANGE();
Expand Down Expand Up @@ -437,7 +438,7 @@ std::unique_ptr<cudf::table> generate_lineitem_partial(cudf::table_view const& o
* @param mr Device memory resource used to allocate the returned column's device memory
*/
std::unique_ptr<cudf::table> generate_orders_dependent(cudf::table_view const& lineitem_partial,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr)
{
CUDF_BENCHMARK_RANGE();
Expand Down Expand Up @@ -530,7 +531,7 @@ std::unique_ptr<cudf::table> generate_orders_dependent(cudf::table_view const& l
* @param mr Device memory resource used to allocate the returned column's device memory
*/
std::unique_ptr<cudf::table> generate_partsupp(double scale_factor,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr)
{
CUDF_BENCHMARK_RANGE();
Expand Down Expand Up @@ -578,7 +579,7 @@ std::unique_ptr<cudf::table> generate_partsupp(double scale_factor,
* @param mr Device memory resource used to allocate the returned column's device memory
*/
std::unique_ptr<cudf::table> generate_part(double scale_factor,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr)
{
CUDF_BENCHMARK_RANGE();
Expand Down Expand Up @@ -704,7 +705,7 @@ std::unique_ptr<cudf::table> generate_part(double scale_factor,
*/
std::tuple<std::unique_ptr<cudf::table>, std::unique_ptr<cudf::table>, std::unique_ptr<cudf::table>>
generate_orders_lineitem_part(double scale_factor,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr)
{
CUDF_BENCHMARK_RANGE();
Expand Down Expand Up @@ -771,7 +772,7 @@ generate_orders_lineitem_part(double scale_factor,
* @param mr Device memory resource used to allocate the returned column's device memory
*/
std::unique_ptr<cudf::table> generate_supplier(double scale_factor,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr)
{
CUDF_BENCHMARK_RANGE();
Expand Down Expand Up @@ -832,7 +833,7 @@ std::unique_ptr<cudf::table> generate_supplier(double scale_factor,
* @param mr Device memory resource used to allocate the returned column's device memory
*/
std::unique_ptr<cudf::table> generate_customer(double scale_factor,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr)
{
CUDF_BENCHMARK_RANGE();
Expand Down Expand Up @@ -899,7 +900,7 @@ std::unique_ptr<cudf::table> generate_customer(double scale_factor,
* @param stream CUDA stream used for device memory operations and kernel launches
* @param mr Device memory resource used to allocate the returned column's device memory
*/
std::unique_ptr<cudf::table> generate_nation(rmm::cuda_stream_view stream,
std::unique_ptr<cudf::table> generate_nation(cuda::stream_ref stream,
rmm::device_async_resource_ref mr)
{
CUDF_BENCHMARK_RANGE();
Expand Down Expand Up @@ -939,7 +940,7 @@ std::unique_ptr<cudf::table> generate_nation(rmm::cuda_stream_view stream,
* @param stream CUDA stream used for device memory operations and kernel launches
* @param mr Device memory resource used to allocate the returned column's device memory
*/
std::unique_ptr<cudf::table> generate_region(rmm::cuda_stream_view stream,
std::unique_ptr<cudf::table> generate_region(cuda::stream_ref stream,
rmm::device_async_resource_ref mr)
{
CUDF_BENCHMARK_RANGE();
Expand Down
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
/*
* SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION.
* SPDX-FileCopyrightText: Copyright (c) 2024-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*/

Expand All @@ -22,7 +22,7 @@ namespace datagen {
std::tuple<std::unique_ptr<cudf::table>, std::unique_ptr<cudf::table>, std::unique_ptr<cudf::table>>
generate_orders_lineitem_part(
double scale_factor,
rmm::cuda_stream_view stream = cudf::get_default_stream(),
cuda::stream_ref stream = cudf::get_default_stream(),
rmm::device_async_resource_ref mr = cudf::get_current_device_resource_ref());

/**
Expand All @@ -34,7 +34,7 @@ generate_orders_lineitem_part(
*/
std::unique_ptr<cudf::table> generate_partsupp(
double scale_factor,
rmm::cuda_stream_view stream = cudf::get_default_stream(),
cuda::stream_ref stream = cudf::get_default_stream(),
rmm::device_async_resource_ref mr = cudf::get_current_device_resource_ref());

/**
Expand All @@ -46,7 +46,7 @@ std::unique_ptr<cudf::table> generate_partsupp(
*/
std::unique_ptr<cudf::table> generate_supplier(
double scale_factor,
rmm::cuda_stream_view stream = cudf::get_default_stream(),
cuda::stream_ref stream = cudf::get_default_stream(),
rmm::device_async_resource_ref mr = cudf::get_current_device_resource_ref());

/**
Expand All @@ -58,7 +58,7 @@ std::unique_ptr<cudf::table> generate_supplier(
*/
std::unique_ptr<cudf::table> generate_customer(
double scale_factor,
rmm::cuda_stream_view stream = cudf::get_default_stream(),
cuda::stream_ref stream = cudf::get_default_stream(),
rmm::device_async_resource_ref mr = cudf::get_current_device_resource_ref());

/**
Expand All @@ -68,7 +68,7 @@ std::unique_ptr<cudf::table> generate_customer(
* @param mr Device memory resource used to allocate the returned column's device memory
*/
std::unique_ptr<cudf::table> generate_nation(
rmm::cuda_stream_view stream = cudf::get_default_stream(),
cuda::stream_ref stream = cudf::get_default_stream(),
rmm::device_async_resource_ref mr = cudf::get_current_device_resource_ref());

/**
Expand All @@ -78,7 +78,7 @@ std::unique_ptr<cudf::table> generate_nation(
* @param mr Device memory resource used to allocate the returned column's device memory
*/
std::unique_ptr<cudf::table> generate_region(
rmm::cuda_stream_view stream = cudf::get_default_stream(),
cuda::stream_ref stream = cudf::get_default_stream(),
rmm::device_async_resource_ref mr = cudf::get_current_device_resource_ref());

} // namespace datagen
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -79,7 +79,7 @@ struct random_number_generator {
std::unique_ptr<cudf::column> generate_random_string_column(cudf::size_type lower,
cudf::size_type upper,
cudf::size_type num_rows,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr)
{
CUDF_BENCHMARK_RANGE();
Expand Down Expand Up @@ -107,7 +107,7 @@ template <typename T>
std::unique_ptr<cudf::column> generate_random_numeric_column(T lower,
T upper,
cudf::size_type num_rows,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr)
{
CUDF_BENCHMARK_RANGE();
Expand All @@ -127,33 +127,33 @@ template std::unique_ptr<cudf::column> generate_random_numeric_column<int8_t>(
int8_t lower,
int8_t upper,
cudf::size_type num_rows,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr);

template std::unique_ptr<cudf::column> generate_random_numeric_column<int16_t>(
int16_t lower,
int16_t upper,
cudf::size_type num_rows,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr);

template std::unique_ptr<cudf::column> generate_random_numeric_column<cudf::size_type>(
cudf::size_type lower,
cudf::size_type upper,
cudf::size_type num_rows,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr);

template std::unique_ptr<cudf::column> generate_random_numeric_column<double>(
double lower,
double upper,
cudf::size_type num_rows,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr);

std::unique_ptr<cudf::column> generate_primary_key_column(cudf::scalar const& start,
cudf::size_type num_rows,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr)
{
CUDF_BENCHMARK_RANGE();
Expand All @@ -162,7 +162,7 @@ std::unique_ptr<cudf::column> generate_primary_key_column(cudf::scalar const& st

std::unique_ptr<cudf::column> generate_repeat_string_column(std::string const& value,
cudf::size_type num_rows,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr)
{
CUDF_BENCHMARK_RANGE();
Expand All @@ -173,7 +173,7 @@ std::unique_ptr<cudf::column> generate_repeat_string_column(std::string const& v
std::unique_ptr<cudf::column> generate_random_string_column_from_set(
cudf::host_span<char const* const> set,
cudf::size_type num_rows,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr)
{
CUDF_BENCHMARK_RANGE();
Expand All @@ -199,7 +199,7 @@ template <typename T>
std::unique_ptr<cudf::column> generate_repeat_sequence_column(T seq_length,
bool zero_indexed,
cudf::size_type num_rows,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr)
{
CUDF_BENCHMARK_RANGE();
Expand All @@ -224,14 +224,14 @@ template std::unique_ptr<cudf::column> generate_repeat_sequence_column<int8_t>(
int8_t seq_length,
bool zero_indexed,
cudf::size_type num_rows,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr);

template std::unique_ptr<cudf::column> generate_repeat_sequence_column<cudf::size_type>(
cudf::size_type seq_length,
bool zero_indexed,
cudf::size_type num_rows,
rmm::cuda_stream_view stream,
cuda::stream_ref stream,
rmm::device_async_resource_ref mr);

} // namespace cudf::datagen
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