Profit-effective parallel computing
Yong Yan, Xiaodong Zhang · IEEE Concurrency · 1999
Researchers widely use speedup, efficiency, and scalability to assess parallel computing performance. These metrics encourage researchers to use any novel technique to design or improve a parallel system, without paying enough attention to the cost increase that such a technique incurs. However, as national-defense applications are downsizing, commercial applications are the dominant users of parallel systems. Customers and vendors are particularly concerned with whether a parallel system can make a profit. Our major goal is to investigate financially justified parallel computing. To evaluate parallel computing's effectiveness, we use a simple profitup metric to measure how performance, cost, and business production affect profit. We focus on investigating the relationship between cost-effective parallel computing and profit-effective parallel computing.