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Version 1.9 Build 1556

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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()