tree: 105d16f0c36b7189b6d7288143ca701b8692881e [path history] [tgz]
  1. .gitignore
  2. Android.bp
  3. Makefile
  4. Makefile.test
  6. makeparallel.cpp


makeparallel communicates with the GNU make jobserver in order claim all available jobs, and then passes the number of jobs claimed to a subprocess with -j<jobs>.

The number of available jobs is determined by reading tokens from the jobserver until a read would block. If the makeparallel rule is the only one running the number of jobs will be the total size of the jobserver pool, i.e. the value passed to make with -j. Any jobs running in parallel with with the makeparellel rule will reduce the measured value, and thus reduce the parallelism available to the subprocess.

To run a multi-thread or multi-process binary inside GNU make using makeparallel, add

	+makeparallel subprocess arguments

to a rule. For example, to wrap ninja in make, use something like:

	+makeparallel ninja -f

To determine the size of the jobserver pool, add

	+makeparallel echo >

to a rule that is guarantee to run alone (i.e. all other rules are either dependencies of the makeparallel rule, or the depend on the makeparallel rule. The output file will contain the -j<num> flag passed to the parent make process, or -j1 if no flag was found. Since GNU make will run makeparallel during the execution phase, after all variables have been set and evaluated, it is not possible to get the output of makeparallel into a make variable. Instead, use a shell substitution to read the output file directly in a recipe. For example:

	echo Make was started with $$(cat