I'm looking for methods and algorithms for solving linear programming algorithms, characterized by up to 20 variables but up to thousands of constraints in a parallel way. There are several approaches for solving LP problems in a parallel way, but I wonder if there are specific methods which are efficient for such (real-world, by the way) systems.  Thanks in advance.
Linear programming optimization problems using parallel algorithms
linear programming;convex optimization;parallel