Measuring High Performance Computing Productivity

Stuart Faulk, John Gustafson, Philip Johnson, Adam Porter, Walter Tichy, Lawrence Votta
2004 The international journal of high performance computing applications  
One key to improving high performance computing (HPC) productivity is to find better ways to measure it. We define productivity in terms of mission goals, i.e. greater productivity means that more science is accomplished with less cost and effort. Traditional software productivity metrics and computing benchmarks have proven inadequate for assessing or predicting such end-to-end productivity. In this paper we introduce a new approach to measuring productivity in HPC applications that addresses
more » ... oth development time and execution time. Our goal is to develop a public repository of effective productivity benchmarks that anyone in the HPC community can apply to assess or predict productivity.
doi:10.1177/1094342004048539 fatcat:owxhfoi4anfbzatjnkfhkqs2t4