dedf08166a
Added 863 files from NVIDIA/cccl sparse checkout: - c2h/ (27 files): Catch2 test helpers — generators, validators, runner - nvbench_helper/ (10 files): Benchmark harness utilities - cmake/ (29 files): CMake presets and build helpers - cudax/ (794 files): Experimental CUDA extensions - AGENTS.md: NVIDIA's official AI agent instructions for CCCL - CMakePresets.json: Standardized build configurations - cccl-version.json: Version tracking Also added CCCL_ASSET_MAP.md mapping all 4295 CCCL files to competition value and PRD items. cccl_upstream now covers 100% of competition-critical assets: - 27 tuning headers (SM80/90/100 benchmark data) - 32 dispatch headers (algorithm implementations) - 60 Thrust examples (correctness verification) - 217 CUB Catch2 tests (regression matrix) - 153 CUB benchmarks (parameter space search) - 18 CUB examples (API verification) - 27 test helpers + benchmark harness - 794 cudax experimental extensions
65 lines
1.8 KiB
Plaintext
65 lines
1.8 KiB
Plaintext
//===----------------------------------------------------------------------===//
|
|
//
|
|
// Part of CUDASTF in CUDA C++ Core Libraries,
|
|
// under the Apache License v2.0 with LLVM Exceptions.
|
|
// See https://llvm.org/LICENSE.txt for license information.
|
|
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
|
|
// SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES.
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
#include <cuda/experimental/__stf/stream/interfaces/hashtable_linearprobing.cuh>
|
|
#include <cuda/experimental/__stf/stream/stream_ctx.cuh>
|
|
|
|
using namespace cuda::experimental::stf;
|
|
|
|
// Iterate over every item in the hashtableA, and add them to B
|
|
|
|
__global__ void gpu_merge_hashtable(hashtable A, const hashtable B)
|
|
{
|
|
unsigned int threadid = blockIdx.x * blockDim.x + threadIdx.x;
|
|
while (threadid < reserved::kHashTableCapacity)
|
|
{
|
|
if (B.addr[threadid].key != reserved::kEmpty)
|
|
{
|
|
uint32_t value = B.addr[threadid].value;
|
|
if (value != reserved::kEmpty)
|
|
{
|
|
// printf("INSERTING key %d value %d\n", pHashTableB[threadid].key, value);
|
|
A.insert(B.addr[threadid]);
|
|
}
|
|
}
|
|
threadid += blockDim.x * gridDim.x;
|
|
}
|
|
}
|
|
|
|
int main()
|
|
{
|
|
stream_ctx ctx;
|
|
|
|
hashtable A;
|
|
A.insert(reserved::KeyValue(107, 4));
|
|
A.insert(reserved::KeyValue(108, 6));
|
|
|
|
hashtable B;
|
|
B.insert(reserved::KeyValue(7, 14));
|
|
B.insert(reserved::KeyValue(8, 16));
|
|
|
|
auto lA = ctx.logical_data(A);
|
|
auto lB = ctx.logical_data(B);
|
|
|
|
ctx.task(lA.rw(), lB.read())->*[](auto stream, auto hA, auto hB) {
|
|
gpu_merge_hashtable<<<32, 128, 0, stream>>>(hA, hB);
|
|
cuda_safe_call(cudaGetLastError());
|
|
};
|
|
|
|
ctx.host_launch(lA.read())->*[](auto hA) {
|
|
EXPECT(hA.get(107) == 4);
|
|
EXPECT(hA.get(108) == 6);
|
|
EXPECT(hA.get(7) == 14);
|
|
EXPECT(hA.get(8) == 16);
|
|
};
|
|
|
|
ctx.finalize();
|
|
}
|