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| Paper: |
Deterministic and Statistical Parameter Space Sampling: an Autonomous Driver for ScientificWorkflows |
| Volume: |
376, Astronomical Data Analysis Software and Systems XVI |
| Page: |
417 |
| Authors: |
Hovest, W.; Stojceska, G.; Saverchenko, I.; Adorf, H.-M.; Ensslin, T.; Riller, Th. |
| Abstract: |
Scientific workflows are usually controlled by many parameters, and assigning near-optimal values to these is often critical for efficiently finding solutions to goal-oriented problems. Such problems are typically solved by running sophisticated simulation or data analysis workflows. We present a novel sampling framework which is integrated into the Process Coordinator (ProC) – the general purpose scientific workflow engine originally developed for the Planck Surveyor satellite mission. The framework supports the exploration of high-dimensional parameter spaces for function representation, optimization, or integration purposes. Complemented by one of several pluggable sampling algorithms, a Sampler Control Element (SCE) drives the exploration process in multiple cycles. The whole sampling framework has been tested with different sampling algorithm plug-ins, and is ready for use in astrophysical research. |
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