Performance prediction method for parallel software based on single program multiple data
Zhaoxin Zhang · Journal of Tsinghua University(Science and Technology) · 2005
A performance prediction and development method for single program multiple data (SPMD) parallel software was developed based on parallel software modularization technology to enhance performance analyses of parallel software algorithms. The method addresses several problems, such as module designs, modeling, module combinations, and communication overlapps. Test results show that this method can improve the development efficiency of parallel software and enhance the parallel software performance.