Move make_strings_column benchmark to nvbench (#17340)

Moves the `cpp/benchmarks/string/factory.cu` implementation from google-bench to nvbench.
Also renames to `.cpp` by recoding without device code.

Authors:
  - David Wendt (https://github.com/davidwendt)

Approvers:
  - Bradley Dice (https://github.com/bdice)
  - Vyas Ramasubramani (https://github.com/vyasr)

URL: #17340

cpp/benchmarks/CMakeLists.txt

@@ -360,8 +360,6 @@ ConfigureNVBench(
 
 # ##################################################################################################
 # * strings benchmark -------------------------------------------------------------------
-ConfigureBench(STRINGS_BENCH string/factory.cu)
-
 ConfigureNVBench(
   STRINGS_NVBENCH
   string/case.cpp
@@ -377,6 +375,7 @@ ConfigureNVBench(
   string/copy_range.cpp
   string/count.cpp
   string/extract.cpp
+  string/factory.cpp
   string/filter.cpp
   string/find.cpp
   string/find_multiple.cpp

cpp/benchmarks/string/factory.cpp

@@ -0,0 +1,60 @@
+/*
+ * Copyright (c) 2021-2024, NVIDIA CORPORATION.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <benchmarks/common/generate_input.hpp>
+
+#include <cudf/column/column_factories.hpp>
+#include <cudf/strings/detail/utilities.hpp>
+#include <cudf/strings/string_view.cuh>
+#include <cudf/strings/strings_column_view.hpp>
+#include <cudf/utilities/default_stream.hpp>
+
+#include <rmm/device_uvector.hpp>
+
+#include <nvbench/nvbench.cuh>
+
+#include <limits>
+
+static void bench_factory(nvbench::state& state)
+{
+  auto const num_rows  = static_cast<cudf::size_type>(state.get_int64("num_rows"));
+  auto const min_width = static_cast<cudf::size_type>(state.get_int64("min_width"));
+  auto const max_width = static_cast<cudf::size_type>(state.get_int64("max_width"));
+
+  data_profile const profile = data_profile_builder().distribution(
+    cudf::type_id::STRING, distribution_id::NORMAL, min_width, max_width);
+  auto const column = create_random_column(cudf::type_id::STRING, row_count{num_rows}, profile);
+  auto const sv     = cudf::strings_column_view(column->view());
+
+  auto stream    = cudf::get_default_stream();
+  auto mr        = cudf::get_current_device_resource_ref();
+  auto d_strings = cudf::strings::detail::create_string_vector_from_column(sv, stream, mr);
+
+  state.set_cuda_stream(nvbench::make_cuda_stream_view(stream.value()));
+  auto chars_size = sv.chars_size(stream);
+  state.add_global_memory_reads<nvbench::int8_t>(chars_size);
+  state.add_global_memory_writes<nvbench::int8_t>(chars_size);
+
+  state.exec(nvbench::exec_tag::sync, [&](nvbench::launch& launch) {
+    cudf::make_strings_column(d_strings, cudf::string_view{nullptr, 0});
+  });
+}
+
+NVBENCH_BENCH(bench_factory)
+  .set_name("factory")
+  .add_int64_axis("min_width", {0})
+  .add_int64_axis("max_width", {32, 64, 128, 256})
+  .add_int64_axis("num_rows", {32768, 262144, 2097152});