LNCS: | Lecture Notes in Computer Science (LNCS), vol. 10773, pages 122–131, 2018. |

JSSPP: | Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), 2017. |

LNCS | |

DOI: | 10.1007/978-3-319-77398-8_7 |

We describe an in situ system for solving iterative problems. We specifically target inverse problems, where expensive simulations are approximated using a surrogate model. The model explores the parameter space of the simulation through iterative trials, each of which becomes a job managed by a parallel scheduler. Our work extends Henson [1], a cooperative multi-tasking system for in situ execution of loosely coupled codes.

[1]

D. Morozov and Z. Lukic. Master of Puppets: Cooperative Multitasking for In Situ Processing. Proceedings of the Symposium on High-Performance Parallel and Distributed Computing (HPDC), pages 285-288, 2016.