TY  - CONF
AU  - Klijn, Wouter
AU  - Diaz, Sandra
AU  - Morrison, Abigail
AU  - Peyser, Alexander
TI  - Staged deployment of interactive multi-application HPC workflows
PB  - IEEE
M1  - FZJ-2019-04310
SP  - 305-311
PY  - 2020
AB  - Running scientific workflows on a supercomputer can be a daunting task for a scientific domain specialist. Workflow management solutions (WMS) are a standard method for reducing the complexity of application deployment on high performance computing (HPC) infrastructure. We introduce the design for a middleware system that extends and combines the functionality from existing solutions in order to create a high-level, staged user-centric operation/deployment model. This design addresses the requirements of several use cases in the life sciences, with a focus on neuroscience. In this manuscript we focus on two use cases: 1) three coupled neuronal simulators (for three different space/time scales) with in-transit visualization and 2) a closed-loop workflow optimized by machine learning, coupling a robot with a neural network simulation. We provide a detailed overview of the application-integrated monitoring in relationship with the HPC job. We present here a novel usage model for large scale interactive multi-application workflows running on HPC systems which aims at reducing the complexity of deployment and execution, thus enabling new science.
T2  - The 2019 International Conference on High Performance Computing & Simulation
CY  - 15 Jul 2019 - 19 Jul 2019, Dublin (Ireland)
Y2  - 15 Jul 2019 - 19 Jul 2019
M2  - Dublin, Ireland
LB  - PUB:(DE-HGF)8
DO  - DOI:10.1109/HPCS48598.2019.9188104
UR  - https://juser.fz-juelich.de/record/864600
ER  -