Dra*_*rax 7 c++ performance performance-testing boost-pool
所以我memory_pools基于boost池创建了这个容器分配器类:
memory_pools.hpp
#ifndef MEMORY_POOL_HPP
# define MEMORY_POOLS_HPP
// boost
# include <boost/pool/pool.hpp>
# include <boost/unordered_map.hpp>
template<typename ElementType>
class memory_pools
{
public:
template <typename>
friend class memory_pools;
private:
using pool = boost::pool<>;
public:
using value_type = ElementType;
using pointer = value_type*;
using const_pointer = const value_type*;
using reference = value_type&;
using const_reference = const value_type&;
using size_type = pool::size_type;
using difference_type = pool::difference_type;
public:
template<typename OtherElementType>
struct rebind
{
using other = memory_pools<OtherElementType>;
};
public:
memory_pools();
template<typename SourceElement>
memory_pools(const memory_pools<SourceElement>&);
public:
pointer allocate(const size_type n);
void deallocate(const pointer ptr, const size_type n);
template<typename... Args>
void construct(pointer, Args...);
void destroy(pointer);
public:
bool operator==(const memory_pools&);
bool operator!=(const memory_pools&);
private:
using pools_map = boost::unordered_map<std::size_t, std::shared_ptr<pool>>;
private:
std::shared_ptr<pools_map> pools_map_;
std::shared_ptr<pool> pool_;
};
# include <memory_pools.ipp>
#endif
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memory_pools.ipp
#ifndef MEMORY_POOLS_IPP
# define MEMORY_POOLS_IPP
template<typename ElementType>
memory_pools<ElementType>::memory_pools()
:
pools_map_(std::make_shared<pools_map>
(pools_map
{
std::make_pair
(sizeof(ElementType),
make_shared<pool>(sizeof(ElementType)))
})),
pool_(pools_map_->at(sizeof(ElementType)))
{
}
template<typename ElementType>
template<typename SourceElement>
memory_pools<ElementType>::memory_pools
(const memory_pools<SourceElement>& rebinded_from)
:
pools_map_(rebinded_from.pools_map_),
pool_(pools_map_->insert
(std::make_pair(sizeof(ElementType),
make_shared<pool>(sizeof(ElementType)))).first->second)
{
}
template<typename ElementType>
typename memory_pools<ElementType>::pointer memory_pools<ElementType>::allocate
(const size_type n)
{
pointer ret = static_cast<pointer>(pool_->ordered_malloc(n));
if ((!ret) && n)
throw std::bad_alloc();
return (ret);
}
template<typename ElementType>
void memory_pools<ElementType>::deallocate
(const pointer ptr, const size_type n)
{
pool_->ordered_free(ptr, n);
}
template<typename ElementType>
template<typename... Args>
void memory_pools<ElementType>::construct(pointer ptr, Args... args)
{
new (ptr) ElementType(std::forward<Args>(args)...);
}
template<typename ElementType>
void memory_pools<ElementType>::destroy(pointer ptr)
{
ptr->~ElementType();
}
template<typename ElementType>
bool memory_pools<ElementType>::operator==(const memory_pools& rhs)
{
return (pools_map_ == rhs.pools_map_);
}
template<typename ElementType>
bool memory_pools<ElementType>::operator!=(const memory_pools& rhs)
{
return (pools_map_ != rhs.pools_map_);
}
#endif
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然后我用它测试它:
#include <memory_pools.hpp>
int main(void)
{
using pools_type = memory_pools<std::pair<const int, int>>;
pools_type pools;
boost::unordered_map<int, int, boost::hash<int>, std::equal_to<int>, pools_type> map;
//boost::unordered_map<int, int, boost::hash<int>, std::equal_to<int>> map;
for (unsigned int i = 0; i < 20000; ++i)
{
map[i] = i + 1;
}
return (0);
}
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使用macOSX 10.10上的clang3.5,我得到了:
$ time ./a.out
real 0m1.873s
user 0m1.850s
sys 0m0.009s
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而我发布的时候:
#include <memory_pools.hpp>
int main(void)
{
using pools_type = memory_pools<std::pair<const int, int>>;
pools_type pools;
//boost::unordered_map<int, int, boost::hash<int>, std::equal_to<int>, pools_type> map;
boost::unordered_map<int, int, boost::hash<int>, std::equal_to<int>> map;
for (unsigned int i = 0; i < 20000; ++i)
{
map[i] = i + 1;
}
return (0);
}
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我有:
$ time ./a.out
real 0m0.019s
user 0m0.016s
sys 0m0.002s
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题
使用boost pool的内存分配应该是那么慢还是我的测试由于某种原因无效?
编辑
在Carmeron的评论之后,我添加了-O3和-DNDEBUG旗帜,现在我有:
$time ./a.out
real 0m0.438s
user 0m0.431s
sys 0m0.003s
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对于memory_pools版本,和:
$ time ./a.out
real 0m0.008s
user 0m0.006s
sys 0m0.002s
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对于标准分配器版本.
题
这个问题仍然存在,它是否正常更慢?
我从未使用过Boost的池代码,甚至没有使用它.但我一般都知道有关内存池的一些事情,我不希望测试中的内存池优于malloc.
要理解这一点,您必须首先了解如果您还没有实现malloc和free.这个问题的答案似乎提供了一个非常好的总结:malloc()和free()如何工作?
内存碎片是一个很难的问题malloc()和free(),而且也没有简单,快速的解决方案.但是,如果你可以保证所有的分配大小都相同,那就更容易了:这就是内存池可以获胜的方式.但是你的测试不涉及大量的内存碎片,并且可能根本没有释放大量内存.所以在这个测试中,malloc()胜利和池都输了.要优化您的测试,您可能会混合一堆删除,例如:
// Allocate 10,000 things
// Loop 10 times:
// Allocate 1,000 things
// Delete 1,000 things
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说了这么多,如果你真的想知道为什么一段特定的代码按照它的方式执行,你应该对它进行分析.思考一段代码为什么表现出某种特定方式的理论是有用的,但你也必须测试你的理论.