55 lines
2.0 KiB
Plaintext
55 lines
2.0 KiB
Plaintext
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// SPDX-FileCopyrightText: Copyright (c) 2011-2023, NVIDIA CORPORATION. All rights reserved.
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// SPDX-License-Identifier: BSD-3
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#pragma once
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#include <thrust/device_vector.h>
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#include <thrust/execution_policy.h>
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#include <thrust/set_operations.h>
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#include <thrust/sort.h>
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#include "nvbench_helper.cuh"
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template <typename T, typename OpT>
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static void basic(nvbench::state& state, nvbench::type_list<T>, OpT op)
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{
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const auto elements = static_cast<std::size_t>(state.get_int64("Elements"));
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const auto size_ratio = static_cast<std::size_t>(state.get_int64("SizeRatio"));
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const bit_entropy entropy = str_to_entropy(state.get_string("Entropy"));
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const auto elements_in_A = static_cast<std::size_t>(static_cast<double>(size_ratio * elements) / 100.0f);
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thrust::device_vector<T> input = generate(elements, entropy);
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thrust::device_vector<T> output(elements);
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thrust::sort(input.begin(), input.begin() + elements_in_A);
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thrust::sort(input.begin() + elements_in_A, input.end());
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caching_allocator_t alloc;
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// not a warm-up run, we need to run once to determine the size of the output
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const auto result_ends =
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op(policy(alloc),
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input.cbegin(),
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input.cbegin() + elements_in_A,
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input.cbegin() + elements_in_A,
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input.cend(),
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output.begin());
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const std::size_t elements_in_AB = ::cuda::std::distance(output.begin(), result_ends);
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state.add_element_count(elements);
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state.add_global_memory_reads<T>(elements);
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state.add_global_memory_writes<T>(elements_in_AB);
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state.exec(nvbench::exec_tag::gpu | nvbench::exec_tag::no_batch | nvbench::exec_tag::sync,
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[&](nvbench::launch& launch) {
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op(policy(alloc, launch),
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input.cbegin(),
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input.cbegin() + elements_in_A,
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input.cbegin() + elements_in_A,
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input.cend(),
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output.begin());
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});
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}
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using types = nvbench::type_list<int8_t, int16_t, int32_t, int64_t>;
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