Although we do have the standard miriad benchmark, which you can run via the command
time $MIR/install/mir.bench ... 23.441u 2.364s 0:27.10 95.2%
where you will need to look at the user space CPu (23.44 sec in this case) and the elapsed time (27.10 sec in this case). Background and a compilation of older results can be found in BIMA memo #xx.
A more realistic CPU intensive test is a mosaiced clean. The test takes a 7 field BIMA and 16 field CARMA mosaic of NGC 4736 and cleans one channel to 10,000 components. You can obtain a tar file with a script to run the benchmark from our ] and run the benchmark, roughly as follows:
wget ftp://ftp.astro.umd.edu/pub/bima/mirbench3.tar tar xf mirbench3.tar cd mirbench3 ./do1 ..... Steer Iterations: 10022 Resid min,max,rms,max sigma: -1.362 1.271 0.356 2.511 Total CLEANed flux: 1.710E+00 41.185u 0.870s 0:42.11 99.8% 0+0k 0+0io 50pf+0w <<<---------- 41.2 / 42.1 sec Maths: version 1.0 17-Oct-00
where the benchmark only counts the CPU spent in mossdi2.
Some numbers to compare with:
MACH GHZ/CPU CPU-SEC OS COMMENTS
akash 3.4 x 2 49" mdk10 78" when two run in parallel on both CPUs, very odd everto 2.2 71" mdk10 chara 3.0 52" mdk10 gcc chara 3.0 40" mdk10 intel 9.0 compiler (about 20% speed increase) perseus 2.4 x 2 30" mdk10 core 2 duo
MacMini 1.66 51" osx10.4 mmwave 2.6 x 2 ? 27" osx10.4
An example script was written to run mirbench3 in parallel on multi-cpu/core machines. Overall performance scales nearly linear. This is achieves in the most simple way: each cpu/core gets a proportional part of the channels to clean and are catenated after the run. Details will follow.