Compmake is a non-obtrusive module that provides:
make--like facilities to your Python computations (
clean, etc.), including caching of temporary results (that is, you can interrupt your program, and restart it without losing (much) data.)
- A console for inspecting failures and partial completion.
- Single-host (using the
multiprocessingmodule) and multiple-host parallelization (using ssh-spawned slaves).
- Peace of mind!
To use Compmake, you have to minimally modify your Python program, such that it can understand the processing layout and the opportunities for parallelization.
You would run the modified program using:
$ compmake example -c make # runs locally $ compmake example -c parmake # runs locally in parallel $ compmake example -c clustmake # runs on a cluster
You can selectively remake part of the computations. For example,
suppose that you modify the
draw() function, and you want to
rerun only the last step. You can achieve that by:
$ compmake example -c "remake draw*"
Compmake will reuse part of the computations (
but it will redo the last step.
Moreover, by running
compmake example only, you have access to a
console that allows you to inspect the status of the computations,
cleaning/remaking jobs, etc.
Compmake has been designed primarily for handling long computational-intensive batch processes. It assumes that the computational layout is fixed and that all intermediate results can be cached to disk. If these two conditions are met, you can use Compmake to gain considerable peace of mind.
Still not convinced? Read why you should use Compmake.