为什么 vector<int>比 vector<bool> 快在以下情况下 [英] Why vector<int> is faster than vector<bool> in the following case
问题描述
当我为 LeetCode 问题N-Queens编程时发现了这种现象.>
我有两个版本的接受代码,唯一的区别是我存储哈希表的方式,一个是使用 vector
,另一个是使用 vector
vector
,运行时间:4 msclass 解决方案 {民众:void dfs(vector<string>& crtrst, vector<vector<string>>& finalrsts, int row, vector<int>& mup, vector<int>& m45dgr, vector<int>& m135dgr){int n = crtrst.size();如果(行== n){finalrsts.push_back(crtrst);返回;}for (int j=0; jcrtrst(n,string(n,'.'));向量mup(n,1);向量m45dgr(2*n-1,1);//度数 45: '\'向量m135dgr(2*n-1,1);//度数 135: '/';整数行 = 0;dfs(crtrst,finalrsts,row,mup,m45dgr,m135dgr);返回决赛;}};
版本 2,vector
,运行时间:12 毫秒
class 解决方案 {民众:void dfs(vector<string>& crtrst, vector<vector<string>>& finalrsts, int row,向量<bool>&mup、vector<bool>&m45dgr,向量<bool>&m135dgr){int n = crtrst.size();如果(行== n){finalrsts.push_back(crtrst);返回;}for (int j=0; jcrtrst(n,string(n,'.'));向量mup(n,true);向量m45dgr(2*n-1,true);//度数 45: '\'向量m135dgr(2*n-1,true);//度数 135: '/';整数行 = 0;dfs(crtrst,finalrsts,row,mup,m45dgr,m135dgr);返回决赛;}};
据我所知,vector
使用 1 位而不是 bool
变量(可能是 2 个字节)存储每个元素,并且 vector<;int>
使用 4 个字节存储每个元素.所以 vector
看起来比 vector
更小.但是,为什么它比 vector
慢?
访问单个位通常比访问完整的可寻址单元(C++ 术语中的字节)慢.例如,要写入一个字节,您只需发出一条写入指令(x86 上的 mov).要写入位,您需要加载包含它的字节,使用按位运算符在字节中设置正确的位,然后存储生成的字节.
位向量的紧凑尺寸非常适合存储要求,但它会导致速度变慢,除非您的数据变得足够大以致缓存问题发挥作用.
如果您想获得速度并且仍然比每个值 4 个字节更有效率,请尝试使用 vector
.
This phenomenon is found when I programmed for the LeetCode problem N-Queens.
I have two versions of accepted code, the only difference between which is the way I stored the hash table, one is using vector<int>
and the other is using vector<bool>
. To be specific, the two versions of code are as follows:
vector<int>
, Running Time: 4 ms
class Solution {
public:
void dfs(vector<string>& crtrst, vector<vector<string>>& finalrsts, int row, vector<int>& mup, vector<int>& m45dgr, vector<int>& m135dgr)
{
int n = crtrst.size();
if (row == n)
{
finalrsts.push_back(crtrst);
return;
}
for (int j=0; j<n; j++)
{
if (mup[j] && m45dgr[j-row+n-1] && m135dgr[row+j])
{
crtrst[row][j] = 'Q';
mup[j] = m45dgr[j-row+n-1] = m135dgr[row+j] = 0;
dfs(crtrst,finalrsts,row+1,mup,m45dgr,m135dgr);
crtrst[row][j] = '.';
mup[j] = m45dgr[j-row+n-1] = m135dgr[row+j] = 1;
}
}
}
vector<vector<string>> solveNQueens(int n)
{
vector<vector<string>> finalrsts;
vector<string> crtrst(n,string(n,'.'));
vector<int> mup(n,1);
vector<int> m45dgr(2*n-1,1); // degree 45: '\'
vector<int> m135dgr(2*n-1,1); // degree 135: '/';
int row = 0;
dfs(crtrst,finalrsts,row,mup,m45dgr,m135dgr);
return finalrsts;
}
};
Version 2, vector<bool>
, Running time: 12 ms
class Solution {
public:
void dfs(vector<string>& crtrst, vector<vector<string>>& finalrsts, int row,
vector<bool>& mup, vector<bool>& m45dgr, vector<bool>& m135dgr)
{
int n = crtrst.size();
if (row == n)
{
finalrsts.push_back(crtrst);
return;
}
for (int j=0; j<n; j++)
{
if (mup[j] && m45dgr[j-row+n-1] && m135dgr[row+j])
{
crtrst[row][j] = 'Q';
mup[j] = m45dgr[j-row+n-1] = m135dgr[row+j] = false;
dfs(crtrst,finalrsts,row+1,mup,m45dgr,m135dgr);
crtrst[row][j] = '.';
mup[j] = m45dgr[j-row+n-1] = m135dgr[row+j] = true;
}
}
}
vector<vector<string>> solveNQueens(int n)
{
vector<vector<string>> finalrsts;
vector<string> crtrst(n,string(n,'.'));
vector<bool> mup(n,true);
vector<bool> m45dgr(2*n-1,true); // degree 45: '\'
vector<bool> m135dgr(2*n-1,true); // degree 135: '/';
int row = 0;
dfs(crtrst,finalrsts,row,mup,m45dgr,m135dgr);
return finalrsts;
}
};
As I know that, vector<bool>
stores each element using 1 bit rather than a bool
variable (may be 2 Bytes), and vector<int>
stores each element using 4 Bytes. So vector<bool>
seems tinier than vector<int>
. However, why it is slower than vector<int>
?
Access to single bits is usually slower than to complete addressable units (bytes in the lingo of C++). For example, to write a byte, you just issue a write instruction (mov on x86). To write a bit, you need to load the byte containing it, use bitwise operators to set the right bit within the byte, and then store the resulting byte.
The compact size of a bit vector is nice for storage requirements, but it will result in a slowdown except when your data becomes large enough that caching issues play a role.
If you want to have speed and still be more efficient than 4 bytes per value, try a vector<unsigned char>
.
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