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gevtushenko committed Jul 4, 2023
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172 changes: 172 additions & 0 deletions benchmarks/bench/partition/three_way.cu
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/******************************************************************************
* Copyright (c) 2011-2023, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of the NVIDIA CORPORATION nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
******************************************************************************/

#include <nvbench_helper.cuh>
#include <look_back_helper.cuh>
#include <cub/device/device_partition.cuh>

// %RANGE% TUNE_TRANSPOSE trp 0:1:1
// %RANGE% TUNE_ITEMS_PER_THREAD ipt 7:24:1
// %RANGE% TUNE_THREADS_PER_BLOCK tpb 128:1024:32
// %RANGE% TUNE_MAGIC_NS ns 0:2048:4
// %RANGE% TUNE_DELAY_CONSTRUCTOR_ID dcid 0:7:1
// %RANGE% TUNE_L2_WRITE_LATENCY_NS l2w 0:1200:5

#if !TUNE_BASE
#if TUNE_TRANSPOSE == 0
#define TUNE_LOAD_ALGORITHM cub::BLOCK_LOAD_DIRECT
#else // TUNE_TRANSPOSE == 1
#define TUNE_LOAD_ALGORITHM cub::BLOCK_LOAD_WARP_TRANSPOSE
#endif // TUNE_TRANSPOSE

template <typename InputT>
struct policy_hub_t
{
struct policy_t : cub::ChainedPolicy<350, policy_t, policy_t>
{
using ThreeWayPartitionPolicy = //
cub::AgentThreeWayPartitionPolicy<TUNE_THREADS_PER_BLOCK,
TUNE_ITEMS_PER_THREAD,
TUNE_LOAD_ALGORITHM,
cub::LOAD_DEFAULT,
cub::BLOCK_SCAN_WARP_SCANS,
delay_constructor_t>;
};

using MaxPolicy = policy_t;
};
#endif // !TUNE_BASE

template <class T>
struct less_then_t
{
T m_val;

__device__ bool operator()(const T &val) const { return val < m_val; }
};

template <typename T, typename OffsetT>
void partition(nvbench::state &state, nvbench::type_list<T, OffsetT>)
{
using input_it_t = const T*;
using output_it_t = T*;
using num_selected_it_t = OffsetT*;
using select_op_t = less_then_t<T>;
using offset_t = OffsetT;

#if !TUNE_BASE
using policy_t = policy_hub_t<T>;
using dispatch_t = cub::DispatchThreeWayPartitionIf<input_it_t,
output_it_t,
output_it_t,
output_it_t,
num_selected_it_t,
select_op_t,
select_op_t,
offset_t,
policy_t>;
#else // TUNE_BASE
using dispatch_t = cub::DispatchThreeWayPartitionIf<input_it_t,
output_it_t,
output_it_t,
output_it_t,
num_selected_it_t,
select_op_t,
select_op_t,
offset_t>;
#endif // !TUNE_BASE

// Retrieve axis parameters
const auto elements = static_cast<std::size_t>(state.get_int64("Elements{io}"));
const bit_entropy entropy = str_to_entropy(state.get_string("Entropy"));

T min_val{};
T max_val = std::numeric_limits<T>::max();

T left_border = max_val / 3;
T right_border = left_border * 2;

select_op_t select_op_1{left_border};
select_op_t select_op_2{right_border};

thrust::device_vector<T> in(elements);
thrust::device_vector<offset_t> num_selected(1);

gen(seed_t{}, in, entropy, min_val, max_val);

thrust::device_vector<T> out_1(elements);
thrust::device_vector<T> out_2(elements);
thrust::device_vector<T> out_3(elements);

input_it_t d_in = thrust::raw_pointer_cast(in.data());
output_it_t d_out_1 = thrust::raw_pointer_cast(out_1.data());
output_it_t d_out_2 = thrust::raw_pointer_cast(out_2.data());
output_it_t d_out_3 = thrust::raw_pointer_cast(out_3.data());
num_selected_it_t d_num_selected = thrust::raw_pointer_cast(num_selected.data());

state.add_element_count(elements);
state.add_global_memory_reads<T>(elements);
state.add_global_memory_writes<T>(elements);
state.add_global_memory_writes<offset_t>(1);

std::size_t temp_size{};
dispatch_t::Dispatch(nullptr,
temp_size,
d_in,
d_out_1,
d_out_2,
d_out_3,
d_num_selected,
select_op_1,
select_op_2,
elements,
0);

thrust::device_vector<nvbench::uint8_t> temp(temp_size);
auto *temp_storage = thrust::raw_pointer_cast(temp.data());

state.set_blocking_kernel_timeout(-1);
state.exec([&](nvbench::launch &launch) {
dispatch_t::Dispatch(temp_storage,
temp_size,
d_in,
d_out_1,
d_out_2,
d_out_3,
d_num_selected,
select_op_1,
select_op_2,
elements,
launch.get_stream());
});
}

NVBENCH_BENCH_TYPES(partition, NVBENCH_TYPE_AXES(fundamental_types, offset_types))
.set_name("cub::DevicePartition::If")
.set_type_axes_names({"T{ct}", "OffsetT{ct}"})
.add_int64_power_of_two_axis("Elements{io}", nvbench::range(16, 28, 4))
.add_string_axis("Entropy", {"1.000", "0.544", "0.000"});
11 changes: 9 additions & 2 deletions cub/agent/agent_three_way_partition.cuh
Original file line number Diff line number Diff line change
Expand Up @@ -51,14 +51,20 @@ template <int _BLOCK_THREADS,
int _ITEMS_PER_THREAD,
BlockLoadAlgorithm _LOAD_ALGORITHM,
CacheLoadModifier _LOAD_MODIFIER,
BlockScanAlgorithm _SCAN_ALGORITHM>
BlockScanAlgorithm _SCAN_ALGORITHM,
class DelayConstructorT = detail::fixed_delay_constructor_t<350, 450>>
struct AgentThreeWayPartitionPolicy
{
constexpr static int BLOCK_THREADS = _BLOCK_THREADS;
constexpr static int ITEMS_PER_THREAD = _ITEMS_PER_THREAD;
constexpr static BlockLoadAlgorithm LOAD_ALGORITHM = _LOAD_ALGORITHM;
constexpr static CacheLoadModifier LOAD_MODIFIER = _LOAD_MODIFIER;
constexpr static BlockScanAlgorithm SCAN_ALGORITHM = _SCAN_ALGORITHM;

struct detail
{
using delay_constructor_t = DelayConstructorT;
};
};


Expand Down Expand Up @@ -112,8 +118,9 @@ struct AgentThreeWayPartition
cub::BlockScan<OffsetT, BLOCK_THREADS, PolicyT::SCAN_ALGORITHM>;

// Callback type for obtaining tile prefix during block scan
using DelayConstructorT = typename PolicyT::detail::delay_constructor_t;
using TilePrefixCallbackOpT =
cub::TilePrefixCallbackOp<OffsetT, cub::Sum, ScanTileStateT>;
cub::TilePrefixCallbackOp<OffsetT, cub::Sum, ScanTileStateT, 0, DelayConstructorT>;

// Item exchange type
using ItemExchangeT = InputT[TILE_ITEMS];
Expand Down

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