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2017 GTC San Jose

S7405 - Bifrost: A Python/C++ Framework for Easy High-Throughput Computing

Session Speakers
Session Description

Bogged down trying to build a fast GPU processing pipeline? We'll present a solution: Bifrost, a framework for rapidly composing real-time data collection and analysis pipelines. Real-time data processing lies at the heart of most modern radio telescopes, and while hardware capabilities and data collection rates advance to the petascale regime, development of efficient real-time processing codes remains difficult and time-consuming. Bifrost solves this problem by combining a TensorFlow-like Python API with a library of common algorithms and highly efficient data transport. We'll describe the design and implementation of this framework, and demonstrate its use as the backend for a large radio telescope.


Additional Session Information
Intermediate
Talk
Astronomy and Astrophysics Tools and Libraries
Government / National Labs Higher Education / Research
25 minutes
Session Schedule