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Abstract
Real-world scientific applications often encompass end-to-end data processing pipelines composed of a large number of interconnected computational tasks of various granularity. We introduce HyperLoom, an open source platform for defining and executing such pipelines in distributed environments and providing a Python interface for defining tasks. HyperLoom is a self-contained system that does not use an external scheduler for the actual execution of the task. We have successfully employed HyperLoom for executing chemogenomics pipelines used in pharmaceutic industry for novel drug discovery. 6 1
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The different versions of the original document can be found in:
- http://dx.doi.org/10.1145/3183767.3183768 under the license http://www.acm.org/publications/policies/copyright_policy#Background
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Published on 01/01/2018
Volume 2018, 2018
DOI: 10.1145/3183767.3183768
Licence: Other
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