Reputation: 1081
I want to generate pairs from a given large pool of numbers. I am using two for loops and threads. My function getAllPairs() in the code generates apairs with a given array of numbers.
I have an array of length 1000. With one thread, output time is nearly 15 sec. Now I want to use 5-6 threads and reduce this output time.I am stuck at dividing this task equally to five threads.If not threads,how to decrease the output time?
Solution with threads is appreciated since I put a lot of time learning multithreading. I would like to implement it.
import java.util.*;
class Pair {
public int x, y;
public Pair(int x, int y) {
this.x = x;
this.y = y;
}
@Override
public String toString(){
return " ( " + x + " ," + y + " ) " ;
}
}
class selectPairs{
private int[] array;
private List<Pair> totalPairs ;
public selectPairs(int[] arr){
array = arr;
}
//set Method
public void settotalPairs(List<Pair> pieces){
totalPairs = pieces;
}
//get Method
public List<Pair> gettotalPairs(){
return totalPairs;
}
// Method to generate pairs
public List<Pair> getAllPairs() {
List<Pair> pairs = new ArrayList<Pair>();
int total = array.length;
for(int i=0; i < total; i++) {
int num1 = array[i];
for(int j=i+1; j < total; j++) {
int num2 = array[j];
pairs.add(new Pair(num1,num2));
}
}
return pairs;
}
}
// Thread class
class ThreadPairs extends Thread {
private Thread t;
selectPairs SP;
ThreadPairs(selectPairs sp){
SP = sp;
}
public void run() {
synchronized(SP) {
List<Pair> PAIRS = SP.getAllPairs();
SP.settotalPairs(PAIRS);
}
}
}
public class TestThread {
public static void main(String args[]) {
int[] a = new int[1000];
for (int i = 0; i < a.length; i++) {
a[i] = i ;
}
selectPairs ob = new selectPairs(a);
ThreadPairs T = new ThreadPairs( ob );
T.start();
while (true) {
try {
T.join();
break;
}
catch(Exception e){
}
}
List<Pair> Total = new ArrayList<Pair>() ;
List<Pair> Temp1 = ob.gettotalPairs();
Total.addAll(Temp1);
System.out.println(Total);
}
}
Upvotes: 1
Views: 5689
Reputation: 5048
A solution with a thread-pool, a task split strategy and it collects all results:
public class SelectPairs {
private static final int NUM_THREADS = 8;
private int[] array;
public SelectPairs(int[] arr) {
array = arr;
}
// A splitting task strategy
public List<Pair> getPartialPairs(int threadIndex, int numThreads) {
List<Pair> pairs = new ArrayList<Pair>();
int total = array.length;
for (int i = threadIndex; i < total; i += numThreads) {
int num1 = array[i];
for (int j = i + 1; j < total; j++) {
int num2 = array[j];
pairs.add(new Pair(num1, num2));
}
}
return pairs;
}
// To use Callables or Runnables are better than extends a Thread.
public static class PartialPairsCall implements Callable<List<Pair>> {
private int thread;
private int totalThreads;
private SelectPairs selectPairs;
public PartialPairsCall(int thread, int totalThreads, SelectPairs selectPairs) {
this.thread = thread;
this.totalThreads = totalThreads;
this.selectPairs = selectPairs;
}
@Override
public List<Pair> call() throws Exception {
return selectPairs.getPartialPairs(thread, totalThreads);
}
}
public static void main(String[] args) throws Exception {
int[] a = new int[1000];
for (int i = 0; i < a.length; i++) {
a[i] = i;
}
SelectPairs sp = new SelectPairs(a);
// Create a thread pool
ExecutorService es = Executors.newFixedThreadPool(NUM_THREADS);
List<Future<List<Pair>>> futures = new ArrayList<>(NUM_THREADS);
// Submit task to every thread:
for (int i = 0; i < NUM_THREADS; i++) {
futures.add(es.submit(new PartialPairsCall(i, NUM_THREADS, sp)));
}
// Collect the results:
List<Pair> result = new ArrayList<>(a.length * (a.length - 1));
for (Future<List<Pair>> future : futures) {
result.addAll(future.get());
}
// Shutdown thread pool
es.shutdown();
System.out.println("result: " + result.size());
}
}
Upvotes: 1
Reputation: 14328
regarding the framework of multithreading, you can implement ThreadPoolExecutor as was suggested in a comment.
Regarding splitting the workload, it seems that the key is splitting the iteration on the array which is achievable if you give the Runnable
task a start and end index to iterate over.
Upvotes: 0