first version of kernel.cu
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2
.gitignore
vendored
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2
.gitignore
vendored
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*.out
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*.err
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@@ -10,6 +10,9 @@ sbatch run.script
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```bash
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scontrol show jobid <jobid>
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# или так, чтобы не выводить лишнюю информацию
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scontrol show jobid <jobid> | grep JobState
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```
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Отменить или завершить задачу досрочно.
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125
kernel.cu
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125
kernel.cu
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#include <stdio.h>
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#include <stdlib.h>
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#include <limits.h>
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#include <cuda_runtime.h>
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#include <device_launch_parameters.h>
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#define BLOCK_SIZE 16
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#define MATRIX_SIZE 32
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#define OBSTACLE_PROB 10
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#define INF UINT_MAX // Используем беззнаковый максимум
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__global__ void wave_step(int* P, unsigned int* dist, int n, bool* changed) {
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int i = blockIdx.y * blockDim.y + threadIdx.y;
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int j = blockIdx.x * blockDim.x + threadIdx.x;
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int idx = i * n + j;
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if (i >= n || j >= n || P[idx] == -1) return;
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unsigned int current_dist = dist[idx];
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unsigned int min_dist = current_dist;
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// Проверка соседей с защитой от переполнения
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if (i > 0 && dist[(i-1)*n + j] != INF)
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min_dist = min(min_dist, dist[(i-1)*n + j] + 1);
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if (i < n-1 && dist[(i+1)*n + j] != INF)
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min_dist = min(min_dist, dist[(i+1)*n + j] + 1);
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if (j > 0 && dist[i*n + (j-1)] != INF)
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min_dist = min(min_dist, dist[i*n + (j-1)] + 1);
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if (j < n-1 && dist[i*n + (j+1)] != INF)
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min_dist = min(min_dist, dist[i*n + (j+1)] + 1);
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if (min_dist < current_dist) {
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atomicMin(&dist[idx], min_dist);
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*changed = true;
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}
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}
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void generate_polygon(int* P, int n) {
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srand(42);
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for (int i = 0; i < n*n; i++) {
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P[i] = (rand() % 100 < OBSTACLE_PROB) ? -1 : 0;
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}
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P[0] = 0; // Гарантируем, что старт свободен
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P[n*n - 1] = 0; // Гарантируем, что финиш свободен
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}
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int main() {
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const int n = MATRIX_SIZE;
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const int block_size = BLOCK_SIZE;
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// Инициализация полигона
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int* P = (int*)malloc(n * n * sizeof(int));
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generate_polygon(P, n);
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// Выделение памяти на GPU
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int* d_P;
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unsigned int* d_dist;
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bool* d_changed;
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cudaMalloc(&d_P, n*n*sizeof(int));
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cudaMalloc(&d_dist, n*n*sizeof(unsigned int));
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cudaMalloc(&d_changed, sizeof(bool));
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// Инициализация расстояний
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unsigned int* dist = (unsigned int*)malloc(n*n*sizeof(unsigned int));
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for (int i = 0; i < n*n; i++) dist[i] = INF;
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dist[0] = 0; // Стартовая точка
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// Копирование данных на GPU
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cudaMemcpy(d_P, P, n*n*sizeof(int), cudaMemcpyHostToDevice);
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cudaMemcpy(d_dist, dist, n*n*sizeof(unsigned int), cudaMemcpyHostToDevice);
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// Настройка запуска ядра
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dim3 grid((n + block_size - 1)/block_size, (n + block_size - 1)/block_size);
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dim3 block(block_size, block_size);
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// Замер времени
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cudaEvent_t start, stop;
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cudaEventCreate(&start);
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cudaEventCreate(&stop);
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cudaEventRecord(start);
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// Основной цикл волны
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int iterations = 0;
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bool changed;
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do {
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changed = false;
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cudaMemcpy(d_changed, &changed, sizeof(bool), cudaMemcpyHostToDevice);
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wave_step<<<grid, block>>>(d_P, d_dist, n, d_changed);
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cudaDeviceSynchronize(); // Синхронизация после ядра
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cudaMemcpy(&changed, d_changed, sizeof(bool), cudaMemcpyDeviceToHost);
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iterations++;
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} while (changed && iterations < 2*n); // Защита от бесконечного цикла
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// Финализация времени
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cudaEventRecord(stop);
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cudaEventSynchronize(stop);
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float milliseconds = 0;
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cudaEventElapsedTime(&milliseconds, start, stop);
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// Проверка результата
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cudaMemcpy(dist, d_dist, n*n*sizeof(unsigned int), cudaMemcpyDeviceToHost);
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if (dist[n*n - 1] == INF) {
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printf("Path not found!\n");
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} else {
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printf("Success! Path length: %u\n", dist[n*n - 1]);
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}
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printf("Time: %.2f ms\n", milliseconds);
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printf("Matrix: %dx%d | Blocks: %dx%d | Obstacles: %d%%\n",
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n, n, block_size, block_size, OBSTACLE_PROB);
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// Освобождение памяти
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free(P);
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free(dist);
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cudaFree(d_P);
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cudaFree(d_dist);
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cudaFree(d_changed);
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cudaEventDestroy(start);
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cudaEventDestroy(stop);
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return 0;
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}
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