Reputation: 23
Suppose there are n tasks to complete and k parallel processors that can complete the task. Each processor can only run 1 task at a time and each processor takes a different amount of time to complete each task (we can represent the time it takes for each processor to complete each task in an n X k matrix)
What's the optimal algorithm to allocate the n tasks to the k processors to minimize the total time to complete all tasks?
Very similar to this problem: Algorithm to find the most efficient way to distribute non-identical work tasks between workers
But with non-identical workers!
Thanks.
Upvotes: 1
Views: 180
Reputation: 23
Ok after some more searching I learned this is integer linear programming problem.
Upvotes: 0