下面是一个简单的 CUDA 内存池的实现示例:
#include <iostream>
#include <vector>
#include <cuda_runtime.h>
class CudaMemoryPool {
public:
CudaMemoryPool(size_t poolSize, size_t blockSize)
: poolSize(poolSize),
blockSize(blockSize),
availableBlocks(poolSize / blockSize)
{
cudaMalloc(&pool, poolSize);
initializeFreeList();
}
~CudaMemoryPool() {
cudaFree(pool);
}
void* allocate() {
if (freeList.empty()) {
std::cerr << "No available memory blocks in the pool" << std::endl;
return nullptr;
}
void* block = freeList.back();
freeList.pop_back();
availableBlocks--;
return block;
}
void deallocate(void* block) {
freeList.push_back(block);
availableBlocks++;
}
size_t getAvailableBlocks() const {
return availableBlocks;
}
private:
void initializeFreeList() {
for (size_t i = 0; i < availableBlocks; i++) {
void* block = static_cast<char*>(pool) + i * blockSize;
freeList.push_back(block);
}
}
size_t poolSize;
size_t blockSize;
size_t availableBlocks;
void* pool;
std::vector<void*> freeList;
};
int main() {
size_t poolSize = 1024 * 1024; // 1MB
size_t blockSize = 256; // 256 bytes
CudaMemoryPool memoryPool(poolSize, blockSize);
void* block1 = memoryPool.allocate();
if (block1 != nullptr) {
std::cout << "Allocated block1 at address: " << block1 << std::endl;
}
void* block2 = memoryPool.allocate();
if (block2 != nullptr) {
std::cout << "Allocated block2 at address: " << block2 << std::endl;
}
memoryPool.deallocate(block1);
std::cout << "Deallocated block1" << std::endl;
void* block3 = memoryPool.allocate();
if (block3 != nullptr) {
std::cout << "Allocated block3 at address: " << block3 << std::endl;
}
std::cout << "Available blocks in the pool: " << memoryPool.getAvailableBlocks() << std::endl;
return 0;
}