Revision 1856
Added by Aaron Marcuse-Kubitza over 12 years ago
bin/map | ||
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72 | 72 |
# Optimization |
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if test: cpus_default = 0 |
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else: cpus_default = None |
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cpus = util.cast(int, opts.get_env_var('cpus', cpus_default, env_names)) |
|
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cpus = util.cast(int, util.none_if(opts.get_env_var('cpus', cpus_default, |
|
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env_names), u'')) |
|
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|
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# Debugging |
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debug = opts.env_flag('debug', False, env_names) |
... | ... | |
113 | 114 |
ex_tracker = exc.ExPercentTracker(iter_text='row') |
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profiler = profiling.ItersProfiler(start_now=True, iter_text='row') |
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|
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# Parallel processing |
|
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if cpus != 0: |
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try: import pp |
|
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try: |
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import multiprocessing |
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import multiprocessing.pool |
|
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except ImportError: pass |
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else: |
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if cpus != None: args = [cpus] |
|
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else: args = [] |
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job_server = pp.Server(*args) |
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log_start('Using '+str(job_server.get_ncpus())+' CPUs') |
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if cpus == None: cpus = multiprocessing.cpu_count() |
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job_server = multiprocessing.pool.Pool(processes=cpus) |
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log_start('Using '+str(cpus)+' CPUs') |
|
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|
125 | 128 |
doc = xml_dom.create_doc() |
126 | 129 |
root = doc.documentElement |
Also available in: Unified diff
bin/map: Use multiprocessing instead of pp for parallel processing because it's easier to use (it uses the Python threading API and doesn't require providing all the functions a task calls). Allow the user to set the cpus option to to use all system CPUs (needed because in test mode, the default is 0 CPUs to turn off parallel processing).