Session: ESPM2 2020: Fifth International Workshop on Extreme Scale Programming Models and Middleware

Benesh: a Programming Model for Coupled Scientific Workflows

Wednesday, November 11, 2020

1:00 PM – 1:30 PM ET

Channel: Track 2

Author/Presenter(s)

PD

Philip E. Davis

Rutgers University, Discovery Informatics Institute, United States of America
PS

Pradeep Subedi

Rutgers University, Discovery Informatics Institute, United States of America
SD

Shaohua Duan

Rutgers University, Discovery Informatics Institute, United States of America
LR

Lee Ricketson

Lawrence Livermore National Laboratory, United States of America
JH

Jeffrey A. F. Hittinger

Lawrence Livermore National Laboratory, United States of America
Manish Parashar

Rutgers University
Piscataway, United States of America

As scientific applications strive toward increasingly realistic modeling of complex phenomenon, they are integrating multiple models and simulations into complex, coupled scientific workflows. As a result, ensuring that existing codes can be combined and recombined correctly and flexibly as part of these workflows is essential. In this paper, we propose Benesh, a programming system for creating in-situ scientific workflows. Benesh provides a domain-specific abstraction that enables a programmer to instrument an existing simulation code to be used as a building block in composing complex workflows. Using Benesh, developers define a workflow-level shared specification of data objects over common or partitioned data domains. This permits dependency-based execution to be specified at the workflow level, distinct from the independent operation of the component simulations. We additionally describe features of a scalable runtime that builds on a composed, distributed data services layer to implement the Benesh programming system.