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
61 lines
1.6 KiB
Plaintext
61 lines
1.6 KiB
Plaintext
// Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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//
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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#include <cuda/std/array>
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template <class T>
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[[gnu::noinline]] void keep_for_debugger(const T& value)
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{
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asm volatile("" : : "g"(&value) : "memory");
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}
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using array_alias = cuda::std::array<int, 4>;
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[[gnu::noinline]] void inspect_normal(const cuda::std::array<int, 3>& values)
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{
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keep_for_debugger(values);
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}
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[[gnu::noinline]] void inspect_empty(const cuda::std::array<int, 0>& values)
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{
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keep_for_debugger(values);
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}
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[[gnu::noinline]] void inspect_nested(const cuda::std::array<cuda::std::array<int, 2>, 2>& values)
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{
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keep_for_debugger(values);
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}
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[[gnu::noinline]] void inspect_alias(const array_alias& values)
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{
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keep_for_debugger(values);
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}
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[[gnu::noinline]] void inspect_before_update(const cuda::std::array<int, 3>& values)
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{
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keep_for_debugger(values);
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}
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[[gnu::noinline]] void inspect_after_update(const cuda::std::array<int, 3>& values)
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{
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keep_for_debugger(values);
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}
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int main()
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{
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const cuda::std::array<int, 3> normal = {-7, 0, 42};
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const cuda::std::array<int, 0> empty = {};
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const cuda::std::array<cuda::std::array<int, 2>, 2> nested = {{{13, -5}, {0, 88}}};
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const array_alias alias = {-31, 17, 8, -64};
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cuda::std::array<int, 3> updated_values = {6, -91, 52};
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inspect_normal(normal);
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inspect_empty(empty);
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inspect_nested(nested);
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inspect_alias(alias);
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inspect_before_update(updated_values);
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updated_values = {3, 85, -12};
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inspect_after_update(updated_values);
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}
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