Decentralized Optimal Power Pricing: The Development of a Parallel Program

Many programming systems available on massively parallel processors (MPPs) today neglect the significance of time spent fixing an algorithm during development. Those systems which do address the fix time commonly demand drastic sacrifices in execution speed. Aiming for the middle ground between these two extremes, the authors have implemented a new algorithm to solve an optimization problem for an electrical power system, a problem large enough to require significant computational resources. To help abstract the communication and layout requirements of the problem away from the main algorithm, they have developed a small object system library. The results are an efficient and easily modifiable solution to the problem and a general approach to solving this class of problems.