删除排序列表中的条目:在 GPU 中有效
我正在尝试在 cuda/thrust 中编写以下问题的代码。我得到了一个键列表以及与每个键关联的三个值。我已经设法按字典顺序对它们进行排序。如果具有相同键的输入具有每个值关系,则现在需要减少输入。在下面的示例中,V1(a)<=V1(c)和V2(a)<=V2(c)并且V3(a)<=V3(c),意味着输入a<=V3(c)。输入 c,因此输入 c 从输出中删除。
输入示例:
Key V1 V2 V3
a. 1 2 5 3
b. 1 2 6 2
c. 1 2 7 4
d. 1 3 6 5
e. 2 8 8 8
f. 3 1 2 4
输出示例:
Key V1 V2 V3
a. 1 2 5 3
b. 1 2 6 2
e. 2 8 8 8
f. 3 1 2 4
- 输入 a <输入c==> c 删除
- 输入 a <输入d==> d 删除
我已经能够使用 for 循环和 if 语句解决上述问题。我目前正在尝试使用基于 GPU 的 cuda/thrust 来解决这个问题。这可以在 GPU 上完成(最好是推力)还是必须用 cuda 编写单独的内核?
我还没有使用 推力:删除重复项中讨论的 unique 来制定此问题键值数组
编辑以包含程序“stl/c++”程序来生成上述场景:“Reducing myMap”部分是我使用 for 循环和 if 语句的实现。
#include <iostream>
#include <tr1/array>
#include <vector>
#include <algorithm>
struct mapItem {
mapItem(int k, int v1, int v2, int v3){
key=k;
std::tr1::array<int,3> v = {v1, v2, v3};
values=v;
};
int key;
std::tr1::array<int,3> values;
};
struct sortLexiObj{
bool operator()(const mapItem& lhs, const mapItem& rhs){
return lhs.values < rhs.values;
}
};
struct sortKey{
bool operator()(const mapItem& lhs, const mapItem& rhs){
return lhs.key < rhs.key;
}
};
int main(int argc, char** argv){
std::vector<mapItem> myMap;
// Set up initial matrix:
myMap.push_back(mapItem(3, 1, 2, 4));
myMap.push_back(mapItem(1, 2, 6, 2));
myMap.push_back(mapItem(1, 2, 5, 3));
myMap.push_back(mapItem(1, 3, 6, 5));
myMap.push_back(mapItem(2, 8, 8, 8));
myMap.push_back(mapItem(1, 2, 7, 4));
std::sort(myMap.begin(), myMap.end(), sortLexiObj());
std::stable_sort(myMap.begin(), myMap.end(), sortKey());
std::cout << "\r\nOriginal sorted Map" << std::endl;
for(std::vector<mapItem>::iterator mt=myMap.begin(); mt!=myMap.end(); ++mt){
std::cout << mt->key << "\t";
for(std::tr1::array<int,3>::iterator it=(mt->values).begin(); it!=(mt->values).end(); ++it){
std::cout << *it << " ";
}
std::cout << std::endl;
}
/////////////////////////
// Reducing myMap
for(std::vector<mapItem>::iterator it=myMap.begin(); it!=myMap.end(); ++it){
std::vector<mapItem>::iterator jt=it; ++jt;
for (; jt != myMap.end();) {
if ( (it->key == jt->key)){
if ( it->values.at(0) <= jt->values.at(0) &&
it->values.at(1) <= jt->values.at(1) &&
it->values.at(2) <= jt->values.at(2) ) {
jt = myMap.erase(jt);
}
else ++jt;
}
else break;
}
}
std::cout << "\r\nReduced Map" << std::endl;
for(std::vector<mapItem>::iterator mt=myMap.begin(); mt!=myMap.end(); ++mt){
std::cout << mt->key << "\t";
for(std::tr1::array<int,3>::iterator it=(mt->values).begin(); it!=(mt->values).end(); ++it){
std::cout << *it << " ";
}
std::cout << std::endl;
}
return 0;
}
I am trying to code the following problem in cuda/thrust. I am given a list of key and three values associated with each keys. I have managed to sort them in lexicographic order. The input now needs to be reduced if inputs with same key have each value-wise relation. In example below, V1(a)<=V1(c) and V2(a)<=V2(c) and V3(a)<=V3(c), implies that Input a < Input c, and hence, Input c is removed from output.
Example Input:
Key V1 V2 V3
a. 1 2 5 3
b. 1 2 6 2
c. 1 2 7 4
d. 1 3 6 5
e. 2 8 8 8
f. 3 1 2 4
Example Output:
Key V1 V2 V3
a. 1 2 5 3
b. 1 2 6 2
e. 2 8 8 8
f. 3 1 2 4
- Input a < Input c ==> c removed
- Input a < Input d ==> d removed
I’ve been able to solve the above problem using for-loops, and if-statements. I am currently trying to solve this using gpu based cuda/thrust. Could this be done on the gpu (preferably thrust) or an individual kernel has to be written in cuda ?
I have not been to formulate this problem using unique as discussed in Thrust: Removing duplicates in key-value arrays
Edited to include program "stl/c++" program to generate above scenario: section "Reducing myMap" is my implementation using for-loops and if-statements.
#include <iostream>
#include <tr1/array>
#include <vector>
#include <algorithm>
struct mapItem {
mapItem(int k, int v1, int v2, int v3){
key=k;
std::tr1::array<int,3> v = {v1, v2, v3};
values=v;
};
int key;
std::tr1::array<int,3> values;
};
struct sortLexiObj{
bool operator()(const mapItem& lhs, const mapItem& rhs){
return lhs.values < rhs.values;
}
};
struct sortKey{
bool operator()(const mapItem& lhs, const mapItem& rhs){
return lhs.key < rhs.key;
}
};
int main(int argc, char** argv){
std::vector<mapItem> myMap;
// Set up initial matrix:
myMap.push_back(mapItem(3, 1, 2, 4));
myMap.push_back(mapItem(1, 2, 6, 2));
myMap.push_back(mapItem(1, 2, 5, 3));
myMap.push_back(mapItem(1, 3, 6, 5));
myMap.push_back(mapItem(2, 8, 8, 8));
myMap.push_back(mapItem(1, 2, 7, 4));
std::sort(myMap.begin(), myMap.end(), sortLexiObj());
std::stable_sort(myMap.begin(), myMap.end(), sortKey());
std::cout << "\r\nOriginal sorted Map" << std::endl;
for(std::vector<mapItem>::iterator mt=myMap.begin(); mt!=myMap.end(); ++mt){
std::cout << mt->key << "\t";
for(std::tr1::array<int,3>::iterator it=(mt->values).begin(); it!=(mt->values).end(); ++it){
std::cout << *it << " ";
}
std::cout << std::endl;
}
/////////////////////////
// Reducing myMap
for(std::vector<mapItem>::iterator it=myMap.begin(); it!=myMap.end(); ++it){
std::vector<mapItem>::iterator jt=it; ++jt;
for (; jt != myMap.end();) {
if ( (it->key == jt->key)){
if ( it->values.at(0) <= jt->values.at(0) &&
it->values.at(1) <= jt->values.at(1) &&
it->values.at(2) <= jt->values.at(2) ) {
jt = myMap.erase(jt);
}
else ++jt;
}
else break;
}
}
std::cout << "\r\nReduced Map" << std::endl;
for(std::vector<mapItem>::iterator mt=myMap.begin(); mt!=myMap.end(); ++mt){
std::cout << mt->key << "\t";
for(std::tr1::array<int,3>::iterator it=(mt->values).begin(); it!=(mt->values).end(); ++it){
std::cout << *it << " ";
}
std::cout << std::endl;
}
return 0;
}
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我认为您可以将
thrust::unique
与谓词一起使用,如 推力:删除键值数组中的重复项。事实上,我们可以做到这一点,因为
unique
具有以下特性:,您应该定义一个谓词来测试伪-相等性,对于具有相同键且第一个元组中所有值都较小的元组,它将返回
true
:因此 必须将其应用于排序集合。这样,只有第一个元组(最小的)不会被删除。
在 V1、V2 或 V3 中具有相同键和较大值的元组将产生
false
,因此不会被删除。I think that you can use
thrust::unique
with a predicate as it's shown in Thrust: Removing duplicates in key-value arrays.Actually, we can do it because of the following characteristic of
unique
:So, you should define a predicate to test for pseudo-equality that will return
true
for tuples that have the same key and all values are smaller in the first tuple:And you have to apply it to a sorted collection. In this way, only the first tuple (the smallest) will not be removed.
A tuple with the same key and a bigger value in V1, V2 or V3 will yield
false
so it won't be removed.