Global stream pool

conda/recipes/libcudf/meta.yaml

@@ -175,6 +175,7 @@ outputs:
         - test -f $PREFIX/include/cudf/detail/utilities/logger.hpp
         - test -f $PREFIX/include/cudf/detail/utilities/pinned_host_vector.hpp
         - test -f $PREFIX/include/cudf/detail/utilities/stacktrace.hpp
+        - test -f $PREFIX/include/cudf/detail/utilities/stream_pool.hpp
         - test -f $PREFIX/include/cudf/detail/utilities/vector_factories.hpp
         - test -f $PREFIX/include/cudf/detail/utilities/visitor_overload.hpp
         - test -f $PREFIX/include/cudf/dictionary/detail/concatenate.hpp

cpp/CMakeLists.txt

@@ -633,6 +633,7 @@ add_library(
   src/utilities/linked_column.cpp
   src/utilities/logger.cpp
   src/utilities/stacktrace.cpp
+  src/utilities/stream_pool.cpp
   src/utilities/traits.cpp
   src/utilities/type_checks.cpp
   src/utilities/type_dispatcher.cpp

cpp/include/cudf/detail/utilities/stream_pool.hpp

@@ -0,0 +1,60 @@
+/*
+ * Copyright (c) 2023, 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/utilities/span.hpp>
+
+#include <rmm/cuda_stream_view.hpp>
+
+namespace cudf::detail {
+
+/**
+ * @brief Acquire a set of `cuda_stream_view` objects and synchronize them to an event on another
+ * stream.
+ *
+ * By default an underlying `rmm::cuda_stream_pool` is used to obtain the streams. The only other
+ * implementation at present is a debugging version that always returns the stream returned by
+ * `cudf::get_default_stream()`. To use this debugging version, set the environment variable
+ * `LIBCUDF_USE_DEBUG_STREAM_POOL`.
+ *
+ * Example usage:
+ * @code{.cpp}
+ * auto stream = cudf::get_default_stream();
+ * auto const num_streams = 2;
+ * // do work on stream
+ * // allocate streams and wait for an event on stream before executing on any of streams
+ * auto streams = cudf::detail::fork_stream(stream, num_streams);
+ * // do work on streams[0] and streams[1]
+ * // wait for event on streams before continuing to do work on stream
+ * cudf::detail::join_streams(streams, stream);
+ * @endcode
+ *
+ * @param stream Stream that the returned streams will wait on.
+ * @param count The number of `cuda_stream_view` objects to return.
+ * @return Vector containing `count` stream views.
+ */
+std::vector<rmm::cuda_stream_view> fork_streams(rmm::cuda_stream_view stream, std::size_t count);
+
+/**
+ * @brief Synchronize a stream to an event on a set of streams.
+ *
+ * @param streams Streams to wait on.
+ * @param stream Joined stream that synchronizes with the waited-on streams.
+ */
+void join_streams(host_span<rmm::cuda_stream_view> streams, rmm::cuda_stream_view stream);
+
+}  // namespace cudf::detail

cpp/src/io/parquet/reader_impl.cpp

@@ -18,31 +18,15 @@
 
 #include <cudf/detail/stream_compaction.hpp>
 #include <cudf/detail/transform.hpp>
+#include <cudf/detail/utilities/stream_pool.hpp>
 #include <cudf/detail/utilities/vector_factories.hpp>
 #include <rmm/cuda_stream_pool.hpp>
 
+#include <bitset>
 #include <numeric>
 
 namespace cudf::io::detail::parquet {
 
-namespace {
-
-int constexpr NUM_DECODERS       = 3;  // how many decode kernels are there to run
-int constexpr APPROX_NUM_THREADS = 4;  // guestimate from DaveB
-int constexpr STREAM_POOL_SIZE   = NUM_DECODERS * APPROX_NUM_THREADS;
-
-auto& get_stream_pool()
-{
-  // TODO: creating this on the heap because there were issues with trying to call the
-  // stream pool destructor during cuda shutdown that lead to a segmentation fault in
-  // nvbench. this allocation is being deliberately leaked to avoid the above, but still
-  // results in non-fatal warnings when running nvbench in cuda-gdb.
-  static auto pool = new rmm::cuda_stream_pool{STREAM_POOL_SIZE};
-  return *pool;
-}
-
-}  // namespace
-
 void reader::impl::decode_page_data(size_t skip_rows, size_t num_rows)
 {
   auto& chunks              = _file_itm_data.chunks;
@@ -178,34 +162,33 @@ void reader::impl::decode_page_data(size_t skip_rows, size_t num_rows)
   chunks.host_to_device_async(_stream);
   chunk_nested_valids.host_to_device_async(_stream);
   chunk_nested_data.host_to_device_async(_stream);
-  _stream.synchronize();
 
-  auto const level_type_size = _file_itm_data.level_type_size;
+  // get the number of streams we need from the pool and tell them to wait on the H2D copies
+  int const nkernels = std::bitset<32>(kernel_mask).count();
+  auto streams       = cudf::detail::fork_streams(_stream, nkernels);
 
-  // vector of launched streams
-  std::vector<rmm::cuda_stream_view> streams;
+  auto const level_type_size = _file_itm_data.level_type_size;
 
   // launch string decoder
+  int s_idx = 0;
   if (has_strings) {
-    streams.push_back(get_stream_pool().get_stream());
-    chunk_nested_str_data.host_to_device_async(streams.back());
-    gpu::DecodeStringPageData(pages, chunks, num_rows, skip_rows, level_type_size, streams.back());
+    auto& stream = streams[s_idx++];
+    chunk_nested_str_data.host_to_device_async(stream);
+    gpu::DecodeStringPageData(pages, chunks, num_rows, skip_rows, level_type_size, stream);
   }
 
   // launch delta binary decoder
   if ((kernel_mask & gpu::KERNEL_MASK_DELTA_BINARY) != 0) {
-    streams.push_back(get_stream_pool().get_stream());
-    gpu::DecodeDeltaBinary(pages, chunks, num_rows, skip_rows, level_type_size, streams.back());
+    gpu::DecodeDeltaBinary(pages, chunks, num_rows, skip_rows, level_type_size, streams[s_idx++]);
   }
 
   // launch the catch-all page decoder
   if ((kernel_mask & gpu::KERNEL_MASK_GENERAL) != 0) {
-    streams.push_back(get_stream_pool().get_stream());
-    gpu::DecodePageData(pages, chunks, num_rows, skip_rows, level_type_size, streams.back());
+    gpu::DecodePageData(pages, chunks, num_rows, skip_rows, level_type_size, streams[s_idx++]);
   }
 
   // synchronize the streams
-  std::for_each(streams.begin(), streams.end(), [](auto& stream) { stream.synchronize(); });
+  cudf::detail::join_streams(streams, _stream);
 
   pages.device_to_host_async(_stream);
   page_nesting.device_to_host_async(_stream);

cpp/src/io/text/multibyte_split.cu

@@ -22,6 +22,7 @@
 #include <cudf/detail/nvtx/ranges.hpp>
 #include <cudf/detail/utilities/cuda.cuh>
 #include <cudf/detail/utilities/integer_utils.hpp>
+#include <cudf/detail/utilities/stream_pool.hpp>
 #include <cudf/io/text/byte_range_info.hpp>
 #include <cudf/io/text/data_chunk_source.hpp>
 #include <cudf/io/text/detail/multistate.hpp>
@@ -32,7 +33,6 @@
 #include <cudf/utilities/default_stream.hpp>
 #include <cudf/utilities/span.hpp>
 
-#include <rmm/cuda_stream_pool.hpp>
 #include <rmm/cuda_stream_view.hpp>
 #include <rmm/exec_policy.hpp>
 #include <rmm/mr/device/device_memory_resource.hpp>
@@ -301,44 +301,12 @@ namespace io {
 namespace text {
 namespace detail {
 
-void fork_stream(std::vector<rmm::cuda_stream_view> streams, rmm::cuda_stream_view stream)
-{
-  cudaEvent_t event;
-  CUDF_CUDA_TRY(cudaEventCreate(&event));
-  CUDF_CUDA_TRY(cudaEventRecord(event, stream));
-  for (uint32_t i = 0; i < streams.size(); i++) {
-    CUDF_CUDA_TRY(cudaStreamWaitEvent(streams[i], event, 0));
-  }
-  CUDF_CUDA_TRY(cudaEventDestroy(event));
-}
-
-void join_stream(std::vector<rmm::cuda_stream_view> streams, rmm::cuda_stream_view stream)
-{
-  cudaEvent_t event;
-  CUDF_CUDA_TRY(cudaEventCreate(&event));
-  for (uint32_t i = 0; i < streams.size(); i++) {
-    CUDF_CUDA_TRY(cudaEventRecord(event, streams[i]));
-    CUDF_CUDA_TRY(cudaStreamWaitEvent(stream, event, 0));
-  }
-  CUDF_CUDA_TRY(cudaEventDestroy(event));
-}
-
-std::vector<rmm::cuda_stream_view> get_streams(int32_t count, rmm::cuda_stream_pool& stream_pool)
-{
-  auto streams = std::vector<rmm::cuda_stream_view>();
-  for (int32_t i = 0; i < count; i++) {
-    streams.emplace_back(stream_pool.get_stream());
-  }
-  return streams;
-}
-
 std::unique_ptr<cudf::column> multibyte_split(cudf::io::text::data_chunk_source const& source,
                                               std::string const& delimiter,
                                               byte_range_info byte_range,
                                               bool strip_delimiters,
                                               rmm::cuda_stream_view stream,
-                                              rmm::mr::device_memory_resource* mr,
-                                              rmm::cuda_stream_pool& stream_pool)
+                                              rmm::mr::device_memory_resource* mr)
 {
   CUDF_FUNC_RANGE();
 
@@ -365,8 +333,7 @@ std::unique_ptr<cudf::column> multibyte_split(cudf::io::text::data_chunk_source
   CUDF_EXPECTS(delimiter.size() < multistate::max_segment_value,
                "delimiter contains too many total tokens to produce a deterministic result.");
 
-  auto concurrency = 2;
-  auto streams     = get_streams(concurrency, stream_pool);
+  auto const concurrency = 2;
 
   // must be at least 32 when using warp-reduce on partials
   // must be at least 1 more than max possible concurrent tiles
@@ -411,7 +378,7 @@ std::unique_ptr<cudf::column> multibyte_split(cudf::io::text::data_chunk_source
   output_builder<byte_offset> row_offset_storage(ITEMS_PER_CHUNK, max_growth, stream);
   output_builder<char> char_storage(ITEMS_PER_CHUNK, max_growth, stream);
 
-  fork_stream(streams, stream);
+  auto streams = cudf::detail::fork_streams(stream, concurrency);
 
   cudaEvent_t last_launch_event;
   CUDF_CUDA_TRY(cudaEventCreate(&last_launch_event));
@@ -532,7 +499,7 @@ std::unique_ptr<cudf::column> multibyte_split(cudf::io::text::data_chunk_source
 
   CUDF_CUDA_TRY(cudaEventDestroy(last_launch_event));
 
-  join_stream(streams, stream);
+  cudf::detail::join_streams(streams, stream);
 
   // if the input was empty, we didn't find a delimiter at all,
   // or the first delimiter was also the last: empty output
@@ -602,11 +569,10 @@ std::unique_ptr<cudf::column> multibyte_split(cudf::io::text::data_chunk_source
                                               parse_options options,
                                               rmm::mr::device_memory_resource* mr)
 {
-  auto stream      = cudf::get_default_stream();
-  auto stream_pool = rmm::cuda_stream_pool(2);
+  auto stream = cudf::get_default_stream();
 
   auto result = detail::multibyte_split(
-    source, delimiter, options.byte_range, options.strip_delimiters, stream, mr, stream_pool);
+    source, delimiter, options.byte_range, options.strip_delimiters, stream, mr);
 
   return result;
 }