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benchmark.ccsfbi4nl - Function



Package utility
Module benchmark
Tool benchmark


Run the Clark Clean, single-field, BIMA, 139M vis, uncompressed, continuum benchmarks


Synopsis
ccsfbi4nl(imsizes, stokes, weight, spwid, niter, mode, nchan, start, step, fieldid, facets, tile, cache)


Description
Run the Clark Clean, single-field imaging benchmarks defined for the BIMA dataset of 139M uncompressed continuum visibilities.



Returns
Bool



Arguments

imsizes   List of image sizes to be used for benchmarking
    Allowed: Vector of ints
    Default: [256]
stokes   List of stokes parameters to be used for benchmarking
    Allowed: Vector of 'I' and/or 'IQUV'
    Default: ['I']
weight   List of weighting schemes to be used for benchmarking
    Allowed: Vector of 'uniform' and/or 'natural'
    Default: ['natural']
spwid   List of spectral windows to be used for benchmarking
    Allowed: Vector of ints
    Default: [1]
niter   The number of CLEAN iterations to be used
    Allowed: Integer
    Default: 1000
mode   Imaging mode
    Allowed: 'mfs' or 'channel'
    Default: 'channel'
nchan   Number of frequency channels to use
    Allowed: Integer
    Default: 20
start   Start channel number
    Allowed: Integer
    Default: 40
step   Step to use for stepping through channels
    Allowed: Integer
    Default: 1
fieldid   Field ID parameter of imager
    Allowed: Integer
    Default: 1
facets   Number of facets to be used for imaging
    Allowed: Integer
    Default: 1
tile   Tile size used internally by imager for PagedArrays
    Allowed: Integer
    Default: 16
cache   The cache size internally by imager for PagedArrays
    Allowed: Integer
    Default: 4194304 (4MB)



Example
bench:=benchmark()      
bench.ccsfbi4nL()
bench.done()





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