Before now, a parallel computer was required to achieve this computational rate. The greater the available horsepower, the larger can be the volume, depth and scope of the data being evaluated, thereby improving the achievable results. For example, typical high-ROI results of optimization within enterprise applications are reducing costs, improving product margins, lowering inventories and increasing output.
More power means increased efficiencies.
Scientific Applications Many assume that applications like finite element analysis or computational fluid dynamics are the most demanding of compute horsepower. The basic measure is Moore s Law, which states that microprocessor speed usually doubles every 18 months. A key reason hardware outpaces software is because production processes can be more easily refined than core software algorithms, which might have existed for decades. Optimization techniques are used within strategic resource allocation applications in a wide range of industries, including manufacturing, transportation, telecommunications, finance, defense and health services. As business continues to move online, optimization will play a key role in improving efficiency in real time within complex environments.