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Try building with environment variable
CC="ccache gcc", that will speed up build significantly when the source has not changed. (strangely, distutils usesCCalso for c++ source files). Install the ccache package, of course. -
Since you have a single extension which is assembled from multiple compiled object files, you can monkey-patch distutils to compile those in parallel (they are independent) – put this into your setup.py (adjust the
N=2as you wish):# monkey-patch for parallel compilation def parallelCCompile(self, sources, output_dir=None, macros=None, include_dirs=None, debug=0, extra_preargs=None, extra_postargs=None, depends=None): # those lines are copied from distutils.ccompiler.CCompiler directly macros, objects, extra_postargs, pp_opts, build = self._setup_compile(output_dir, macros, include_dirs, sources, depends, extra_postargs) cc_args = self._get_cc_args(pp_opts, debug, extra_preargs) # parallel code N=2 # number of parallel compilations import multiprocessing.pool def _single_compile(obj): try: src, ext = build[obj] except KeyError: return self._compile(obj, src, ext, cc_args, extra_postargs, pp_opts) # convert to list, imap is evaluated on-demand list(multiprocessing.pool.ThreadPool(N).imap(_single_compile,objects)) return objects import distutils.ccompiler distutils.ccompiler.CCompiler.compile=parallelCCompile -
For the sake of completeness, if you have multiple extensions, you can use the following solution:
import os import multiprocessing try: from concurrent.futures import ThreadPoolExecutor as Pool except ImportError: from multiprocessing.pool import ThreadPool as LegacyPool # To ensure the with statement works. Required for some older 2.7.x releases class Pool(LegacyPool): def __enter__(self): return self def __exit__(self, *args): self.close() self.join() def build_extensions(self): """Function to monkey-patch distutils.command.build_ext.build_ext.build_extensions """ self.check_extensions_list(self.extensions) try: num_jobs = os.cpu_count() except AttributeError: num_jobs = multiprocessing.cpu_count() with Pool(num_jobs) as pool: pool.map(self.build_extension, self.extensions) def compile( self, sources, output_dir=None, macros=None, include_dirs=None, debug=0, extra_preargs=None, extra_postargs=None, depends=None, ): """Function to monkey-patch distutils.ccompiler.CCompiler""" macros, objects, extra_postargs, pp_opts, build = self._setup_compile( output_dir, macros, include_dirs, sources, depends, extra_postargs ) cc_args = self._get_cc_args(pp_opts, debug, extra_preargs) for obj in objects: try: src, ext = build[obj] except KeyError: continue self._compile(obj, src, ext, cc_args, extra_postargs, pp_opts) # Return *all* object filenames, not just the ones we just built. return objects from distutils.ccompiler import CCompiler from distutils.command.build_ext import build_ext build_ext.build_extensions = build_extensions CCompiler.compile = compile