diff --git a/cpp/include/cudf/strings/detail/strings_children_ex.cuh b/cpp/include/cudf/strings/detail/strings_children_ex.cuh
new file mode 100644
index 00000000000..6028c7e2437
--- /dev/null
+++ b/cpp/include/cudf/strings/detail/strings_children_ex.cuh
@@ -0,0 +1,186 @@
+/*
+ * Copyright (c) 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.
+ */
+#pragma once
+
+#include <cudf/column/column.hpp>
+#include <cudf/detail/offsets_iterator_factory.cuh>
+#include <cudf/detail/utilities/cuda.cuh>
+#include <cudf/strings/detail/strings_children.cuh>
+
+#include <rmm/cuda_stream_view.hpp>
+#include <rmm/device_uvector.hpp>
+#include <rmm/exec_policy.hpp>
+
+#include <thrust/for_each.h>
+#include <thrust/iterator/counting_iterator.h>
+
+namespace cudf {
+namespace strings {
+namespace detail {
+namespace experimental {
+
+/**
+ * @brief Kernel used by make_strings_children for calling the given functor
+ *
+ * @tparam SizeAndExecuteFunction Functor type to call in each thread
+ *
+ * @param fn Functor to call in each thread
+ * @param exec_size Total number of threads to be processed by this kernel
+ */
+template <typename SizeAndExecuteFunction>
+CUDF_KERNEL void strings_children_kernel(SizeAndExecuteFunction fn, size_type exec_size)
+{
+  auto tid = cudf::detail::grid_1d::global_thread_id();
+  if (tid < exec_size) { fn(tid); }
+}
+
+/**
+ * @brief Creates child offsets and chars data by applying the template function that
+ * can be used for computing the output size of each string as well as create the output
+ *
+ * The `size_and_exec_fn` is expected declare an operator() function with a size_type parameter
+ * and 3 member variables:
+ * - `d_sizes`: output size in bytes of each output row for the 1st pass call
+ * - `d_chars`: output buffer for new string data for the 2nd pass call
+ * - `d_offsets`: used for addressing the specific output row data in `d_chars`
+ *
+ * The 1st pass call computes the output sizes and is identified by `d_chars==nullptr`.
+ * Null rows should be set with an output size of 0.
+ *
+ * @code{.cpp}
+ * struct size_and_exec_fn {
+ *  size_type* d_sizes;
+ *  char* d_chars;
+ *  input_offsetalator d_offsets;
+ *
+ *   __device__ void operator()(size_type thread_idx)
+ *   {
+ *     // functor-specific logic to resolve out_idx from thread_idx
+ *     if( !d_chars ) {
+ *       d_sizes[out_idx] = output_size;
+ *     } else {
+ *       auto d_output = d_chars + d_offsets[out_idx];
+ *       // write characters to d_output
+ *     }
+ *   }
+ * };
+ * @endcode
+ *
+ * @tparam SizeAndExecuteFunction Functor type with an operator() function accepting
+ *         an index parameter and three member variables: `size_type* d_sizes`
+ *         `char* d_chars`, and `input_offsetalator d_offsets`.
+ *
+ * @param size_and_exec_fn This is called twice. Once for the output size of each string
+ *        and once again to fill in the memory pointed to by d_chars.
+ * @param exec_size Number of threads for executing the `size_and_exec_fn` function
+ * @param strings_count Number of strings
+ * @param stream CUDA stream used for device memory operations and kernel launches
+ * @param mr Device memory resource used to allocate the returned columns' device memory
+ * @return Offsets child column and chars vector for creating a strings column
+ */
+template <typename SizeAndExecuteFunction>
+auto make_strings_children(SizeAndExecuteFunction size_and_exec_fn,
+                           size_type exec_size,
+                           size_type strings_count,
+                           rmm::cuda_stream_view stream,
+                           rmm::device_async_resource_ref mr)
+{
+  // This is called twice -- once for computing sizes and once for writing chars.
+  // Reducing the number of places size_and_exec_fn is inlined speeds up compile time.
+  auto for_each_fn = [exec_size, stream](SizeAndExecuteFunction& size_and_exec_fn) {
+    auto constexpr block_size = 256;
+    auto grid                 = cudf::detail::grid_1d{exec_size, block_size};
+    strings_children_kernel<<<grid.num_blocks, block_size, 0, stream.value()>>>(size_and_exec_fn,
+                                                                                exec_size);
+  };
+
+  // Compute the output sizes
+  auto output_sizes        = rmm::device_uvector<size_type>(strings_count, stream);
+  size_and_exec_fn.d_sizes = output_sizes.data();
+  size_and_exec_fn.d_chars = nullptr;
+  for_each_fn(size_and_exec_fn);
+
+  // Convert the sizes to offsets
+  auto [offsets_column, bytes] = cudf::strings::detail::make_offsets_child_column(
+    output_sizes.begin(), output_sizes.end(), stream, mr);
+  size_and_exec_fn.d_offsets =
+    cudf::detail::offsetalator_factory::make_input_iterator(offsets_column->view());
+
+  // Now build the chars column
+  rmm::device_uvector<char> chars(bytes, stream, mr);
+  size_and_exec_fn.d_chars = chars.data();
+
+  // Execute the function fn again to fill in the chars data.
+  if (bytes > 0) { for_each_fn(size_and_exec_fn); }
+
+  return std::pair(std::move(offsets_column), std::move(chars));
+}
+
+/**
+ * @brief Creates child offsets and chars columns by applying the template function that
+ * can be used for computing the output size of each string as well as create the output
+ *
+ * The `size_and_exec_fn` is expected declare an operator() function with a size_type parameter
+ * and 3 member variables:
+ * - `d_sizes`: output size in bytes of each output row for the 1st pass call
+ * - `d_chars`: output buffer for new string data for the 2nd pass call
+ * - `d_offsets`: used for addressing the specific output row data in `d_chars`
+ *
+ * The 1st pass call computes the output sizes and is identified by `d_chars==nullptr`.
+ * Null rows should be set with an output size of 0.
+ *
+ * @code{.cpp}
+ * struct size_and_exec_fn {
+ *  size_type* d_sizes;
+ *  char* d_chars;
+ *  input_offsetalator d_offsets;
+ *
+ *   __device__ void operator()(size_type idx)
+ *   {
+ *     if( !d_chars ) {
+ *       d_sizes[idx] = output_size;
+ *     } else {
+ *       auto d_output = d_chars + d_offsets[idx];
+ *       // write characters to d_output
+ *     }
+ *   }
+ * };
+ * @endcode
+ *
+ * @tparam SizeAndExecuteFunction Functor type with an operator() function accepting
+ *         an index parameter and three member variables: `size_type* d_sizes`
+ *         `char* d_chars`, and `input_offsetalator d_offsets`.
+ *
+ * @param size_and_exec_fn This is called twice. Once for the output size of each string
+ *        and once again to fill in the memory pointed to by `d_chars`.
+ * @param strings_count Number of strings
+ * @param stream CUDA stream used for device memory operations and kernel launches
+ * @param mr Device memory resource used to allocate the returned columns' device memory
+ * @return Offsets child column and chars vector for creating a strings column
+ */
+template <typename SizeAndExecuteFunction>
+auto make_strings_children(SizeAndExecuteFunction size_and_exec_fn,
+                           size_type strings_count,
+                           rmm::cuda_stream_view stream,
+                           rmm::device_async_resource_ref mr)
+{
+  return make_strings_children(size_and_exec_fn, strings_count, strings_count, stream, mr);
+}
+
+}  // namespace experimental
+}  // namespace detail
+}  // namespace strings
+}  // namespace cudf
diff --git a/cpp/src/strings/combine/concatenate.cu b/cpp/src/strings/combine/concatenate.cu
index 33d2de3cd07..97008fa94f8 100644
--- a/cpp/src/strings/combine/concatenate.cu
+++ b/cpp/src/strings/combine/concatenate.cu
@@ -17,11 +17,12 @@
 #include <cudf/column/column_device_view.cuh>
 #include <cudf/detail/null_mask.hpp>
 #include <cudf/detail/nvtx/ranges.hpp>
+#include <cudf/detail/offsets_iterator.cuh>
 #include <cudf/detail/valid_if.cuh>
 #include <cudf/scalar/scalar_device_view.cuh>
 #include <cudf/strings/combine.hpp>
 #include <cudf/strings/detail/combine.hpp>
-#include <cudf/strings/detail/strings_children.cuh>
+#include <cudf/strings/detail/strings_children_ex.cuh>
 #include <cudf/strings/detail/utilities.cuh>
 #include <cudf/strings/string_view.cuh>
 #include <cudf/strings/strings_column_view.hpp>
@@ -49,8 +50,9 @@ struct concat_strings_base {
   table_device_view const d_table;
   string_scalar_device_view const d_narep;
   separator_on_nulls separate_nulls;
-  size_type* d_offsets{};
-  char* d_chars{};
+  size_type* d_sizes;
+  char* d_chars;
+  cudf::detail::input_offsetalator d_offsets;
 
   /**
    * @brief Concatenate each table row to a single output string.
@@ -68,7 +70,7 @@ struct concat_strings_base {
         thrust::any_of(thrust::seq, d_table.begin(), d_table.end(), [idx](auto const& col) {
           return col.is_null(idx);
         })) {
-      if (!d_chars) d_offsets[idx] = 0;
+      if (!d_chars) { d_sizes[idx] = 0; }
       return;
     }
 
@@ -95,7 +97,7 @@ struct concat_strings_base {
         write_separator || (separate_nulls == separator_on_nulls::YES) || !null_element;
     }
 
-    if (!d_chars) d_offsets[idx] = bytes;
+    if (!d_chars) { d_sizes[idx] = bytes; }
   }
 };
 
@@ -113,7 +115,7 @@ struct concat_strings_fn : concat_strings_base {
   {
   }
 
-  __device__ void operator()(size_type idx) { process_row(idx, d_separator); }
+  __device__ void operator()(std::size_t idx) { process_row(idx, d_separator); }
 };
 
 }  // namespace
@@ -143,7 +145,7 @@ std::unique_ptr<column> concatenate(table_view const& strings_columns,
   // Create device views from the strings columns.
   auto d_table = table_device_view::create(strings_columns, stream);
   concat_strings_fn fn{*d_table, d_separator, d_narep, separate_nulls};
-  auto [offsets_column, chars] = make_strings_children(fn, strings_count, stream, mr);
+  auto [offsets_column, chars] = experimental::make_strings_children(fn, strings_count, stream, mr);
 
   // create resulting null mask
   auto [null_mask, null_count] = cudf::detail::valid_if(
@@ -188,7 +190,7 @@ struct multi_separator_concat_fn : concat_strings_base {
   __device__ void operator()(size_type idx)
   {
     if (d_separators.is_null(idx) && !d_separator_narep.is_valid()) {
-      if (!d_chars) d_offsets[idx] = 0;
+      if (!d_chars) { d_sizes[idx] = 0; }
       return;
     }
 
@@ -235,7 +237,8 @@ std::unique_ptr<column> concatenate(table_view const& strings_columns,
 
   multi_separator_concat_fn mscf{
     *d_table, separator_col_view, separator_rep, col_rep, separate_nulls};
-  auto [offsets_column, chars] = make_strings_children(mscf, strings_count, stream, mr);
+  auto [offsets_column, chars] =
+    experimental::make_strings_children(mscf, strings_count, stream, mr);
 
   // Create resulting null mask
   auto [null_mask, null_count] = cudf::detail::valid_if(
diff --git a/cpp/src/strings/repeat_strings.cu b/cpp/src/strings/repeat_strings.cu
index 97168a7fbd7..de1d5e38e00 100644
--- a/cpp/src/strings/repeat_strings.cu
+++ b/cpp/src/strings/repeat_strings.cu
@@ -20,7 +20,8 @@
 #include <cudf/detail/indexalator.cuh>
 #include <cudf/detail/null_mask.hpp>
 #include <cudf/detail/nvtx/ranges.hpp>
-#include <cudf/strings/detail/strings_children.cuh>
+#include <cudf/detail/offsets_iterator.cuh>
+#include <cudf/strings/detail/strings_children_ex.cuh>
 #include <cudf/strings/detail/utilities.cuh>
 #include <cudf/strings/repeat_strings.hpp>
 #include <cudf/strings/strings_column_view.hpp>
@@ -107,22 +108,26 @@ struct compute_size_and_repeat_fn {
   column_device_view const strings_dv;
   size_type const repeat_times;
   bool const has_nulls;
-
-  size_type* d_offsets{nullptr};
-
-  // If d_chars == nullptr: only compute sizes of the output strings.
-  // If d_chars != nullptr: only repeat strings.
-  char* d_chars{nullptr};
-
-  // `idx` will be in the range of [0, repeat_times * strings_count).
-  __device__ void operator()(size_type const idx) const noexcept
+  size_type* d_sizes;
+  char* d_chars;
+  cudf::detail::input_offsetalator d_offsets;
+
+  /**
+   * @brief Called by make_strings_children to build output
+   *
+   * @param idx Thread index in the range [0,repeat_times * strings_count)
+   * @param d_sizes Return output size here in 1st call (d_chars==nullptr)
+   * @param d_chars Write output here in 2nd call
+   * @param d_offsets Offsets to address output row within d_chars
+   */
+  __device__ void operator()(size_type idx) const noexcept
   {
     auto const str_idx    = idx / repeat_times;  // value cycles in [0, string_count)
     auto const repeat_idx = idx % repeat_times;  // value cycles in [0, repeat_times)
     auto const is_valid   = !has_nulls || strings_dv.is_valid_nocheck(str_idx);
 
     if (!d_chars && repeat_idx == 0) {
-      d_offsets[str_idx] =
+      d_sizes[str_idx] =
         is_valid ? repeat_times * strings_dv.element<string_view>(str_idx).size_bytes() : 0;
     }
 
@@ -161,8 +166,8 @@ std::unique_ptr<column> repeat_strings(strings_column_view const& input,
   auto const strings_dv_ptr = column_device_view::create(input.parent(), stream);
   auto const fn = compute_size_and_repeat_fn{*strings_dv_ptr, repeat_times, input.has_nulls()};
 
-  auto [offsets_column, chars] =
-    make_strings_children(fn, strings_count * repeat_times, strings_count, stream, mr);
+  auto [offsets_column, chars] = experimental::make_strings_children(
+    fn, strings_count * repeat_times, strings_count, stream, mr);
   return make_strings_column(strings_count,
                              std::move(offsets_column),
                              chars.release(),
@@ -182,14 +187,19 @@ struct compute_sizes_and_repeat_fn {
   Iterator const repeat_times_iter;
   bool const strings_has_nulls;
   bool const rtimes_has_nulls;
-
-  size_type* d_offsets{nullptr};
-
-  // If d_chars == nullptr: only compute sizes of the output strings.
-  // If d_chars != nullptr: only repeat strings.
-  char* d_chars{nullptr};
-
-  __device__ void operator()(size_type const idx) const noexcept
+  size_type* d_sizes;
+  char* d_chars;
+  cudf::detail::input_offsetalator d_offsets;
+
+  /**
+   * @brief Called by make_strings_children to build output
+   *
+   * @param idx Row index
+   * @param d_sizes Return output size here in 1st call (d_chars==nullptr)
+   * @param d_chars Write output here in 2nd call
+   * @param d_offsets Offsets to address output row within d_chars
+   */
+  __device__ void operator()(size_type idx) const noexcept
   {
     auto const string_is_valid = !strings_has_nulls || strings_dv.is_valid_nocheck(idx);
     auto const rtimes_is_valid = !rtimes_has_nulls || repeat_times_dv.is_valid_nocheck(idx);
@@ -197,7 +207,7 @@ struct compute_sizes_and_repeat_fn {
     // Any null input (either string or repeat_times value) will result in a null output.
     auto const is_valid = string_is_valid && rtimes_is_valid;
     if (!is_valid) {
-      if (!d_chars) { d_offsets[idx] = 0; }
+      if (!d_chars) { d_sizes[idx] = 0; }
       return;
     }
 
@@ -206,7 +216,7 @@ struct compute_sizes_and_repeat_fn {
 
     if (!d_chars) {
       // repeat_times could be negative
-      d_offsets[idx] = (repeat_times > 0) ? (repeat_times * d_str.size_bytes()) : 0;
+      d_sizes[idx] = std::max(repeat_times, 0) * d_str.size_bytes();
     } else {
       auto output_ptr = d_chars + d_offsets[idx];
       while (repeat_times-- > 0) {
@@ -241,7 +251,7 @@ std::unique_ptr<column> repeat_strings(strings_column_view const& input,
                                                              input.has_nulls(),
                                                              repeat_times.has_nulls()};
 
-  auto [offsets_column, chars] = make_strings_children(fn, strings_count, stream, mr);
+  auto [offsets_column, chars] = experimental::make_strings_children(fn, strings_count, stream, mr);
 
   // We generate new bitmask by AND of the two input columns' bitmasks.
   // Note that if either of the input columns are nullable, the output column will also be nullable