This drastically reduces lit test execution startup time on Windows. Our
previous strategy was to manually create one Process per job and manage
the worker pool ourselves. Instead, let's use the worker pool provided
by multiprocessing. multiprocessing.Pool(jobs) returns almost
immediately, and initializes the appropriate number of workers, so they
can all start executing tests immediately. This avoids the ramp-up
period that the old implementation suffers from. This appears to speed
up small test runs.
Here are some timings of the llvm-readobj tests on Windows using the
various execution strategies:
# multiprocessing.Pool: $ for i in `seq 1 3`; do tim python ./bin/llvm-lit.py -sv ../llvm/test/tools/llvm-readobj/ --use-process-pool |& grep real: ; done real: 0m1.156s real: 0m1.078s real: 0m1.094s # multiprocessing.Process: $ for i in `seq 1 3`; do tim python ./bin/llvm-lit.py -sv ../llvm/test/tools/llvm-readobj/ --use-processes |& grep real: ; done real: 0m6.062s real: 0m5.860s real: 0m5.984s # threading.Thread: $ for i in `seq 1 3`; do tim python ./bin/llvm-lit.py -sv ../llvm/test/tools/llvm-readobj/ --use-threads |& grep real: ; done real: 0m9.438s real: 0m10.765s real: 0m11.079s
I kept the old code to launch processes in case this change doesn't work
on all platforms that LLVM supports, but at some point I would like to
remove both the threading and old multiprocessing execution strategies.
self.parallelism_semaphores are not defined in this context.