Abstract: Nowadays, many HPC systems use the multi-core system as a computational node. Predicting the communication performance of multi-core cluster systems is complicated job, but finding out it is important to use multi-core system efficiently. In the previous study, we introduced the simple linear regression models for predicting the communication costs in collective I/O. In the models, however, because it is important to get the communication characteristics of the given system, we designed cFireworks, an MPI application to measure the communication costs of HPC systems. In this paper, we explain the detail concept and experimental results of cFireworks. The performance evaluation showed that the expected communication costs with the linear regression models generated by using the output of cFireworks are reasonable to use.

Kwangho Cha, “cFireworks: a Tool for Measuring the Communication Costs in Collective I/O” International Journal of Advanced Computer Science and Applications(IJACSA), 5(8), 2014. http://dx.doi.org/10.14569/IJACSA.2014.050828

@article{Cha2014,
title = {cFireworks: a Tool for Measuring the Communication Costs in Collective I/O},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2014.050828},
url = {http://dx.doi.org/10.14569/IJACSA.2014.050828},
year = {2014},
publisher = {The Science and Information Organization},
volume = {5},
number = {8},
author = {Kwangho Cha}
}