Initial commit: cuGenOpt GPU optimization solver

benchmark/experiments/e10_large_scale/large_tsp_problem.cuh

@@ -0,0 +1,87 @@
+#pragma once
+#include "types.cuh"
+#include "cuda_utils.cuh"
+#include "operators.cuh"
+
+// 支持大规模 TSP（最多 512 个城市）
+struct LargeTSPProblem : ProblemBase<LargeTSPProblem, 1, 512> {
+    const float* d_dist;
+    const float* h_dist;
+    int n;
+    
+    static constexpr ObjDef OBJ_DEFS[] = {
+        {ObjDir::Minimize, 1.0f, 0.0f}
+    };
+    
+    __device__ float compute_obj(int obj_idx, const Sol& s) const {
+        float total = 0;
+        for (int i = 0; i < n - 1; i++) {
+            int from = s.data[0][i];
+            int to = s.data[0][i + 1];
+            total += d_dist[from * n + to];
+        }
+        total += d_dist[s.data[0][n - 1] * n + s.data[0][0]];
+        return total;
+    }
+    
+    __device__ float compute_penalty(const Sol& s) const {
+        return 0.0f;
+    }
+    
+    ProblemConfig config() const {
+        ProblemConfig cfg;
+        cfg.encoding = EncodingType::Permutation;
+        cfg.dim1 = 1;
+        cfg.dim2_default = n;
+        fill_obj_config(cfg);
+        return cfg;
+    }
+    
+    // 可选：覆盖 working_set_bytes 用于 L2 cache 感知
+    size_t working_set_bytes() const {
+        return (size_t)n * n * sizeof(float);
+    }
+    
+    static LargeTSPProblem create(const float* h_dist_matrix, int num_cities) {
+        LargeTSPProblem prob;
+        prob.n = num_cities;
+        prob.h_dist = h_dist_matrix;
+        
+        size_t dist_size = (size_t)num_cities * num_cities * sizeof(float);
+        CUDA_CHECK(cudaMalloc(&prob.d_dist, dist_size));
+        CUDA_CHECK(cudaMemcpy((void*)prob.d_dist, h_dist_matrix, dist_size, cudaMemcpyHostToDevice));
+        
+        return prob;
+    }
+    
+    void destroy() {
+        if (d_dist) {
+            cudaFree((void*)d_dist);
+            d_dist = nullptr;
+        }
+    }
+    
+    // Multi-GPU support
+    LargeTSPProblem* clone_to_device(int target_gpu) const {
+        int orig_device;
+        CUDA_CHECK(cudaGetDevice(&orig_device));
+        CUDA_CHECK(cudaSetDevice(target_gpu));
+        
+        // 分配设备内存并拷贝距离矩阵到目标 GPU
+        float* dd;
+        size_t dist_size = (size_t)n * n * sizeof(float);
+        CUDA_CHECK(cudaMalloc(&dd, dist_size));
+        CUDA_CHECK(cudaMemcpy(dd, h_dist, dist_size, cudaMemcpyHostToDevice));
+        
+        // 恢复原设备
+        CUDA_CHECK(cudaSetDevice(orig_device));
+        
+        // 创建新的 Problem 实例（在 host 端）
+        LargeTSPProblem* new_prob = new LargeTSPProblem();
+        new_prob->n = n;
+        new_prob->h_dist = h_dist;
+        new_prob->d_dist = dd;
+        
+        return new_prob;
+    }
+};