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Commit ed581644 authored by John Zhang's avatar John Zhang
Browse files

refactor fibonacci out into files

parent 371fb8c7
......@@ -3,7 +3,7 @@ Performance comparison
from time import time
from tempfile import mkdtemp
import py, os
import py, os, sys
import subprocess as subp
import ctypes
......@@ -12,24 +12,29 @@ from rpython.config.translationoption import set_opt_level
from util import libext, preload_libmu
perf_target_dir = py.path.local(__file__).dirpath().join('perftarget')
CPYTHON = os.environ.get('CPYTHON', 'python')
PYPY = os.environ.get('PYPY', 'pypy')
RPYTHON = os.environ.get('RPYTHON', None)
CC = os.environ.get('CC', 'clang')
perf_target_dir = py.path.local(__file__).join('perf_target')
def run(cmd):
# print ' '.join(cmd)
print ' '.join(cmd)
p = subp.Popen(cmd, stdout=subp.PIPE, stderr=subp.PIPE)
return p.communicate()
def get_c_function(lib, f):
from ctypes import CDLL
name = f.__name__
return getattr(CDLL(lib.strpath), 'pypy_g_' + name)
def perf_fibonacci():
from perftarget.fibonacci import fib
tmpdir = py.path.local(mkdtemp())
print tmpdir
......@@ -49,7 +54,6 @@ def perf_fibonacci():
return float(out)
def compile_rpython_c():
from perf_target.fibonacci import fib
t = Translation(fib, [int],
set_opt_level(t.config, '3')
......@@ -59,7 +63,6 @@ def perf_fibonacci():
return fnp
def compile_rpython_c_jit():
from perf_target.fibonacci import fib
t = Translation(fib, [int],
set_opt_level(t.config, 'jit')
......@@ -76,8 +79,6 @@ def perf_fibonacci():
def compile_rpython_mu():
from perf_target.fibonacci import fib
t = Translation(fib, [int],
backend='mu', muimpl='fast', mucodegen='api', mutestjit=True)
set_opt_level(t.config, '3')
......@@ -108,15 +109,16 @@ def perf_fibonacci():
return get_average_time(lambda *a: run_funcptr(fnp, *a), args, warmup, iterations)
N = 30
iterations = 10
t_cpython = get_average_time(run_cpython, [N], iterations=iterations)
t_pypy_nojit = get_average_time(run_pypy_nojit, [N], iterations=iterations)
t_pypy = get_average_time(run_pypy, [N], iterations=iterations)
t_rpyc = get_average_time_compiled(compile_rpython_c, [N], iterations=iterations)
t_rpyc_jit = get_average_time_compiled(compile_rpython_c_jit, [N], iterations=iterations)
t_rpyc_mu = get_average_time_compiled(compile_rpython_mu, [N], iterations=iterations)
t_c = get_average_time_compiled(compile_c, [N], iterations=iterations)
warmup = 0
iterations = 1
t_cpython = get_average_time(run_cpython, [N], warmup, iterations=iterations)
t_pypy_nojit = get_average_time(run_pypy_nojit, [N], warmup, iterations=iterations)
t_pypy = get_average_time(run_pypy, [N], warmup, iterations=iterations)
t_rpyc = get_average_time_compiled(compile_rpython_c, [N], warmup, iterations=iterations)
t_rpyc_jit = get_average_time_compiled(compile_rpython_c_jit, [N], warmup, iterations=iterations)
t_rpyc_mu = get_average_time_compiled(compile_rpython_mu, [N], warmup, iterations=iterations)
t_c = get_average_time_compiled(compile_c, [N], warmup, iterations=iterations)
print "CPython:", t_cpython
print "PyPy (no JIT):", t_pypy_nojit
print "PyPy:", t_pypy
......@@ -21,7 +21,7 @@ def rpy_entry(N):
if __name__ == '__main__':
import sys
t0, t1 = measure(int(sys.argv[1]))
print '%.15df' % (t1 - t0)
print '%.15f' % (t1 - t0)
def target(*args):
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