Scalable Interferometric Imaging in the Big Data Era
Abstract:
With the development and deployment of LOFAR2.0, SKA and ngVLA, radio interferometry is entering the Big Data Era. To keep up with the data deluge that will be generated by these instruments with an acceptable costing envelope for computing hardware and energy consumption, at least an order of magnitude improvement in computational performance needs to be realized. Also, data processing pipelines will need to scale well and use processing components optimized for energy efficiency. These challenges require us to rethink the way we process radio interferometric data, opening opportunities for exploration of new avenues. This session aims to present an overview of the challenges and provide a forum for discussion of new ways to process radio interferometric data.
Organiser & chair: Stefan Wijnholds
Session Schedule
- 17:30 - 17:50
- Invited talk
- Stefan Wijnholds
- 17:50 - 18:10
- Invited talk
- Amir Aghabiglou
- 18:10 - 18:30
- Invited talk
- Michael Kriele
- 18:30 - 18:50
- Invited talk
- Oleg Smirnov
- 18:50 - 19:10
- Invited talk
- Joshua Albert
- 19:10 - 20:30
- Invited poster
- Laurent Jacques
- 19:10 - 20:30
- Invited poster
- Nithyanandan Thyagarajan
- 19:10 - 20:30
- Contributed poster
- TBC
- 19:10 - 20:30
- Contributed poster
- TBC
- 19:10 - 20:30
- Contributed poster
- TBC