%0 Conference Paper
%A Klijn, Wouter
%A Diaz, Sandra
%A Morrison, Abigail
%A Peyser, Alexander
%T Staged deployment of interactive multi-application HPC workflows
%I IEEE
%M FZJ-2019-04310
%P 305-311
%D 2020
%X 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.
%B The 2019 International Conference on High Performance Computing & Simulation
%C 15 Jul 2019 - 19 Jul 2019, Dublin (Ireland)
Y2 15 Jul 2019 - 19 Jul 2019
M2 Dublin, Ireland
%F PUB:(DE-HGF)8
%9 Contribution to a conference proceedings
%R 10.1109/HPCS48598.2019.9188104
%U https://juser.fz-juelich.de/record/864600