Programmable In Situ System for Iterative Workflows
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. |
Abstract
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.