Details
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Enabler
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Not Assigned
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None
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Data Processing
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- Create SKA GitLab repo for leap-accelerate and adjust documentation if needed
- Setup initial CI pipeline
- explore scope for parallellization with an initial focus on directions and baselines
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2
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3
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5.5
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Team_YANDA
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Sprint 5
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14.2
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Outcomes Reviewed, Satisfies Acceptance Criteria
Description
LEAP (Rioja, Dodson & Franzen 2018; MN 478, 2337) is a method for evaluating delays for a grid of sources across the sky, from which solutions can be interpolated to arbitrary directions and provided to CSP for beam-forming. The goal is to run it on ionospheric variation timescales, at least for compact configurations. This calls for a high performance implementation, that exploits data parallelism to suffice the real time constraint.
Following the CUDA implementation it is now possible to explore the scope for parallelization as well as workflow integration.