46 lines
1.6 KiB
Plaintext
46 lines
1.6 KiB
Plaintext
|
|
// SPDX-FileCopyrightText: Copyright (c) 2011-2023, NVIDIA CORPORATION. All rights reserved.
|
||
|
|
// SPDX-License-Identifier: BSD-3
|
||
|
|
|
||
|
|
#include <thrust/device_vector.h>
|
||
|
|
#include <thrust/execution_policy.h>
|
||
|
|
#include <thrust/partition.h>
|
||
|
|
|
||
|
|
#include "nvbench_helper.cuh"
|
||
|
|
|
||
|
|
template <typename T>
|
||
|
|
static void basic(nvbench::state& state, nvbench::type_list<T>)
|
||
|
|
{
|
||
|
|
using select_op_t = less_then_t<T>;
|
||
|
|
|
||
|
|
const auto elements = static_cast<std::size_t>(state.get_int64("Elements"));
|
||
|
|
const bit_entropy entropy = str_to_entropy(state.get_string("Entropy"));
|
||
|
|
|
||
|
|
const T val = lerp_min_max<T>(entropy_to_probability(entropy));
|
||
|
|
select_op_t select_op{val};
|
||
|
|
|
||
|
|
thrust::device_vector<T> input = generate(elements);
|
||
|
|
thrust::device_vector<T> output(elements);
|
||
|
|
|
||
|
|
state.add_element_count(elements);
|
||
|
|
state.add_global_memory_reads<T>(elements);
|
||
|
|
state.add_global_memory_writes<T>(elements);
|
||
|
|
|
||
|
|
caching_allocator_t alloc;
|
||
|
|
state.exec(nvbench::exec_tag::gpu | nvbench::exec_tag::no_batch | nvbench::exec_tag::sync,
|
||
|
|
[&](nvbench::launch& launch) {
|
||
|
|
thrust::partition_copy(
|
||
|
|
policy(alloc, launch),
|
||
|
|
input.cbegin(),
|
||
|
|
input.cend(),
|
||
|
|
output.begin(),
|
||
|
|
cuda::std::make_reverse_iterator(output.begin() + elements),
|
||
|
|
select_op);
|
||
|
|
});
|
||
|
|
}
|
||
|
|
|
||
|
|
NVBENCH_BENCH_TYPES(basic, NVBENCH_TYPE_AXES(fundamental_types))
|
||
|
|
.set_name("base")
|
||
|
|
.set_type_axes_names({"T{ct}"})
|
||
|
|
.add_int64_power_of_two_axis("Elements", nvbench::range(16, 28, 4))
|
||
|
|
.add_string_axis("Entropy", {"1.000", "0.544", "0.000"});
|