profitBenchmarkResultBest: Return best integration/convolution method from a...
In ProFit: Fit Projected 2D Profiles to Galaxy Images

Description Usage Arguments Value Author(s) See Also Examples

This function will return the best method from a benchmark result returned by profitBenchmark.

1	profitBenchmarkResultBest(result, precision="double")

`result`	A benchmarking result returned from `profitBenchmark`.
`precision`	The desired floating-point precision; either "single" or "double" (the default).

List; complex structure containing:

convolver: Pointer to the best profitConvolver; see profitMakeConvolver.
dev_name: The name of the best device.
name: The name of the best method and/or OpenCL environment.
openclenv: Pointer to the best OpenCL environment; see profitOpenCLEnv.
precision: The floating point precision (from precision).
time: The time per operation for the best method in ms.
usecalcregion: Logical; whether the optimal method uses the calcregion matrix or not; see profitSetupData.

Dan Taranu

profitBenchmark, profitSetupData

## Not run: 
img = profitMakeGaussianPSF()
bench=profitBenchmark(img, psf=img, nbench=1L, methods=profitAvailableConvolvers())
print(profitBenchmarkResultStripPointers(bench$result)[
  c("name","env_name","version","dev_name",paste0("tinms.mean_",c("single","double")))])
best = profitBenchmarkResultBest(bench$result)
print(paste('Name:',best$name,'time:',best$time))

## End(Not run)