并行化的一个常用技术是像这样融合嵌套的 for 循环
A common technique in parallelization is to fuse nested for loops like this
for(int i=0; i<n; i++) {
for(int j=0; j<n; j++) {
到
for(int x=0; x<n*n; x++) {
int i = x/n; int j = x%n;
我想知道如何才能融合这样的三角形循环
I'm wondering how I can do this to fuse a triangle loop like this
for(int i=0; i<n; i++) {
for(int j=0; j<i+1; j++) {
这有 n*(n+1)/2
次迭代.我们将融合迭代称为 x
.使用二次公式我想出了这个:
This has n*(n+1)/2
iterations. Let's call the fused iteration x
. Using the quadratic formula I have come up with this:
for(int x=0; x<(n*(n+1)/2); x++) {
int i = (-1 + sqrt(1.0+8.0*x))/2;
int j = x - i*(i+1)/2;
与融合方形循环不同,这需要使用 sqrt
函数以及从 int 到 float 以及从 float 到 int 的转换.
Unlike fusing the square loop this requires using the sqrt
function and conversions from int to float and from float to int.
我想知道是否有更简单或更有效的方法来做到这一点?例如,不需要 sqrt
函数或从 int 到 float 或 float 到 int 的转换的解决方案.
I'm wondering if there is a simpler or more efficient way of doing this? For example a solution which does not require the sqrt
function or conversions from int to float or float to int.
我不想要依赖于上一次或下一次迭代的解决方案.我只想要像 int i = funci(x) 和 int j = funcj(x,i)
以下是一些代码,表明这是有效的:
Here is some code showing that this works:
#include <stdio.h>
#include <math.h>
int main() {
int n = 5;
int cnt = 0;
for(int i=0; i<n; i++) {
for(int j=0; j<i+1; j++) {
printf("%d: %d %d
", cnt++, i,j);
}
} printf("
");
int nmax = n*(n+1)/2;
for(int x=0; x<nmax; x++) {
int i = (-1 + sqrt(1.0+8.0*x))/2;
int j = x - i*(i+1)/2;
printf("%d: %d %d
", x,i,j);
}
}
考虑到您试图融合一个三角形以实现并行化,非显而易见的解决方案是选择 x 到 (i,j):
Considering that you're trying to fuse a triangle with the intent of parallelizing, the non-obvious solution is to choose a non-trivial mapping of x to (i,j):
j | i ->
| ____
| | => |\ |
V |___ |_\__|
毕竟,您不会以任何特殊顺序处理它们,因此无需关心确切的映射.
After all, you're not processing them in any special order, so the exact mapping is a don't care.
所以像计算矩形一样计算 x->i,j
,但是如果 i >j
then { i=N-i, j = N-j }
(镜像Y轴,然后镜像X轴).
So calculate x->i,j
as you'd do for a rectangle, but if i > j
then { i=N-i, j = N-j }
(mirror Y axis, then mirror X axis).
____
|\ | | |
|_\__| ==> |_ __ => |
/ | |
/__| |___
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