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...With a focus on the MILP methods we implement a load balancing and speed up the solving process in a multiplicative way. Sometimes we have super-linear speedup with a small set of hardware. With a splitting of problems, parallelcomputing and distributing the actual best solution to all running processes we solve CBP much faster than a sequential processing can do.
The project is a data-parallel C++ library to teach parallel programming concepts. We intend to make this library portable, small, and easy to extend to work with real parallel message passing systems such as MPI and PVM.
Darrell Raymond Ulm