Add initial project files including CMake configuration, Python extractor, and CUDA implementation

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2025-05-03 17:37:22 +09:00
commit 445cc63152
7 changed files with 305 additions and 0 deletions

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src/main.cu Normal file
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#include <vector>
#include <fstream>
#include <sstream>
#include <iostream>
#include <cuda_runtime.h>
#include <algorithm>
#include <chrono>
__global__ void find_nearest_B(
const float3 *__restrict__ A,
const float3 *__restrict__ B,
int *nearest_idx,
int N, int M)
{
int idx = blockDim.x * blockIdx.x + threadIdx.x;
if (idx >= N)
return;
float3 a = A[idx];
float min_dist = 1e30f;
int min_j = -1;
for (int j = 0; j < M; ++j)
{
float dx = a.x - B[j].x;
float dy = a.y - B[j].y;
float dz = a.z - B[j].z;
float dist = dx * dx + dy * dy + dz * dz;
if (dist < min_dist)
{
min_dist = dist;
min_j = j;
}
}
nearest_idx[idx] = min_j;
}
std::vector<float3> load_coords_from_file(const std::string &filename)
{
std::vector<float3> coords;
std::ifstream file(filename);
if (!file)
{
std::cerr << "Unable to open file: " << filename << std::endl;
return coords;
}
std::string line;
while (std::getline(file, line))
{
std::istringstream iss(line);
float x, y, z;
if (iss >> x >> y >> z)
{
coords.push_back(make_float3(x, y, z));
}
}
return coords;
}
void save_results_sorted(const std::string &filename,
const std::vector<float3> &h_A,
const std::vector<float3> &h_B,
const std::vector<int> &indices)
{
struct Entry
{
float ax, az;
float bx, bz;
float dist;
};
std::vector<Entry> entries;
for (size_t i = 0; i < indices.size(); ++i)
{
float3 a = h_A[i];
float3 b = h_B[indices[i]];
float dx = a.x - b.x;
float dy = a.y - b.y;
float dz = a.z - b.z;
float dist = sqrtf(dx * dx + dy * dy + dz * dz);
entries.push_back({a.x, a.z, b.x, b.z, dist});
}
std::sort(entries.begin(), entries.end(), [](const Entry &e1, const Entry &e2)
{ return e1.dist < e2.dist; });
std::ofstream file(filename);
for (const auto &e : entries)
{
file << e.ax << " " << e.az << " "
<< e.bx << " " << e.bz << " "
<< e.dist << std::endl;
}
}
int main()
{
auto t_start = std::chrono::high_resolution_clock::now();
std::vector<float3> h_A = load_coords_from_file("data/cities.txt");
std::vector<float3> h_B = load_coords_from_file("data/strongholds.txt");
int N = h_A.size();
int M = h_B.size();
if (N == 0 || M == 0)
{
std::cerr << "Coords empty." << std::endl;
return 1;
}
float3 *d_A;
float3 *d_B;
int *d_nearest_idx;
cudaMalloc(&d_A, sizeof(float3) * N);
cudaMalloc(&d_B, sizeof(float3) * M);
cudaMalloc(&d_nearest_idx, sizeof(int) * N);
cudaMemcpy(d_A, h_A.data(), sizeof(float3) * N, cudaMemcpyHostToDevice);
cudaMemcpy(d_B, h_B.data(), sizeof(float3) * M, cudaMemcpyHostToDevice);
int threads = 256;
int blocks = (N + threads - 1) / threads;
// ✅ CUDA 커널 시간 측정 시작
cudaEvent_t start, stop;
cudaEventCreate(&start);
cudaEventCreate(&stop);
cudaEventRecord(start);
find_nearest_B<<<blocks, threads>>>(d_A, d_B, d_nearest_idx, N, M);
cudaEventRecord(stop);
cudaEventSynchronize(stop);
float milliseconds = 0;
cudaEventElapsedTime(&milliseconds, start, stop);
std::cout << "CUDA kernel time: " << milliseconds << " ms" << std::endl;
std::vector<int> h_nearest_idx(N);
cudaMemcpy(h_nearest_idx.data(), d_nearest_idx, sizeof(int) * N, cudaMemcpyDeviceToHost);
save_results_sorted("output.txt", h_A, h_B, h_nearest_idx);
cudaFree(d_A);
cudaFree(d_B);
cudaFree(d_nearest_idx);
auto t_end = std::chrono::high_resolution_clock::now();
std::chrono::duration<double> elapsed = t_end - t_start;
std::cout << "Total time: " << elapsed.count() * 1000.0 << " ms" << std::endl;
std::cout << "Saved to output.txt." << std::endl;
return 0;
}