Comments (2)
This turns out to not be useful for polcal
:
- A
StructOfArrays(JonesMatrix, dims...)
creates 4Array{Complex64}
s. What we really want is 8Array{Float32}
s. - I experimented with a
SplayedJonesMatrix
type that stores the real and imaginary components of the elements separately (to fix the previous problem). However this makes the code pretty ugly. - Furthermore, I couldn't get the inner calibration loop to vectorize. Possibly because expanding the complex matrix multiplies in terms of real operations spooks the compiler with too much complexity. Not 100% sure though (I did make sure as much as possible was getting inlined..)
This may still be useful for the unpolarized calibration.
from ttcal.jl.
Closing because I no longer think this is the right thing to do to get SIMD vectorization. My current thinking is that maybe SIMD.jl might be helpful for this, but it will require some work that I don't think is terribly important right now.
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Related Issues (20)
- Identify and flag bad antennas
- double check `polcal` HOT 1
- error message for using out of date sources.json
- build in a beam model HOT 1
- decide what to do with channels that don't converge
- use xy and yx correlations in `gaincal` and `ampcal`
- make peeling more reliable HOT 3
- create a manual
- more sensible feedback
- correctly propagate antenna flags to calibration solutions
- make calibration more reliable
- add support for using multiple integrations to solve for gains
- devel branch uses too much memory
- docs: index of refraction in plasma is wrong
- error in stefcal step for polarized calibration HOT 2
- use NLopt for fitvis HOT 1
- shave error when not specifying low enough frequency in source model HOT 1
- don't deploy a new version of TTCal until Julia v0.5.1 lands HOT 2
- Use the cis function instead of exp(im)
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