56fd68e7dd
CCCL (CUDA C++ Core Libraries) provides: - CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk) - Thrust: high-level parallel algorithms (transform_reduce, sort, scan) - libcudacxx: CUDA C++ standard library (atomics, barriers, memory) - cudax: experimental features (memory resources, allocators) - Tuning policies: per-SM hardware-specific algorithm parameters Competition optimization vectors mapped to CCCL: - Output TPS (83% weight): warp_reduce, block_reduce, device_topk - Input TPS (14% weight): device_scan, block_load, prefetch - Cache TPS (3% weight): prefix caching strategy patterns - Memory (0.9 util): pooled/cached/buddy allocators Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only) License: Apache-2.0
45 lines
2.0 KiB
Plaintext
45 lines
2.0 KiB
Plaintext
//===----------------------------------------------------------------------===//
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//
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// Part of CUDA Experimental in CUDA C++ Core Libraries,
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// under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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// SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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#pragma once
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#include <cuda/std/cstdint>
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#include <vector>
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#include <nvbench/nvbench.cuh>
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#include <nvbench/range.cuh>
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namespace cuda::experimental::cuco::benchmark::defaults
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{
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//! Key types covered by the default CUCO benchmark type axes.
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using key_type_range = ::nvbench::type_list<::nvbench::int32_t, ::nvbench::int64_t>;
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//! Value types covered by the default CUCO benchmark type axes.
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using value_type_range = ::nvbench::type_list<::nvbench::int32_t, ::nvbench::int64_t>;
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//! Default number of inputs used when sweeping another benchmark axis.
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inline constexpr auto n = ::nvbench::int64_t{100'000'000};
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//! Default fixed-capacity map target occupancy.
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inline constexpr auto occupancy = 0.5;
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//! Default lookup matching rate for contains-style benchmarks.
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inline constexpr auto matching_rate = 1.0;
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//! Default deterministic seed used by benchmark data generators.
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inline constexpr auto seed = ::cuda::std::uint32_t{42};
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//! Input-size sweep that remains cacheable for direct comparisons with CUCO benchmarks.
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inline const auto n_range_cache = ::std::vector<::nvbench::int64_t>{8'000, 80'000, 800'000, 8'000'000, 80'000'000};
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//! Occupancy sweep used by fixed-capacity container benchmarks.
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inline const auto occupancy_range = ::nvbench::range(0.1, 0.9, 0.1);
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//! Average multiplicity sweep for duplicate-key distributions.
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inline const auto multiplicity_range = ::std::vector<double>{1.0, 2.0, 4.0, 8.0, 16.0};
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//! Matching-rate sweep used by contains-style benchmarks.
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inline const auto matching_rate_range = ::nvbench::range(0.1, 1.0, 0.1);
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} // namespace cuda::experimental::cuco::benchmark::defaults
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