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- # StarPU --- Runtime system for heterogeneous multicore architectures.
- #
- # Copyright (C) 2020 Université de Bordeaux, CNRS (LaBRI UMR 5800), Inria
- #
- # StarPU is free software; you can redistribute it and/or modify
- # it under the terms of the GNU Lesser General Public License as published by
- # the Free Software Foundation; either version 2.1 of the License, or (at
- # your option) any later version.
- #
- # StarPU is distributed in the hope that it will be useful, but
- # WITHOUT ANY WARRANTY; without even the implied warranty of
- # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
- #
- # See the GNU Lesser General Public License in COPYING.LGPL for more details.
- #
- import starpu
- import time
- import asyncio
- from math import sqrt
- from math import log10
- import numpy as np
- #generate a list to store functions
- g_func=[]
- #function no input no output print hello world
- def hello():
- print ("Example 1: Hello, world!")
- g_func.append(starpu.joblib.delayed(hello)())
- #function no input no output
- def func1():
- print ("Example 2: This is a function no input no output")
- g_func.append(starpu.joblib.delayed(func1)())
- #function no input return a value
- def func2():
- print ("Example 3:")
- return 12
- g_func.append(starpu.joblib.delayed(func2)())
-
- #function has 2 int inputs and 1 int output
- def multi(a,b):
- res_multi=a*b
- print("Example 4: The result of ",a,"*",b,"is",res_multi)
- return res_multi
- g_func.append(starpu.joblib.delayed(multi)(2, 3))
- #function has 4 float inputs and 1 float output
- def add(a,b,c,d):
- res_add=a+b+c+d
- print("Example 5: The result of ",a,"+",b,"+",c,"+",d,"is",res_add)
- return res_add
- g_func.append(starpu.joblib.delayed(add)(1.2, 2.5, 3.6, 4.9))
- #function has 2 int inputs 1 float input and 1 float output 1 int output
- def sub(a,b,c):
- res_sub1=a-b-c
- res_sub2=a-b
- print ("Example 6: The result of ",a,"-",b,"-",c,"is",res_sub1,"and the result of",a,"-",b,"is",res_sub2)
- return res_sub1, res_sub2
- g_func.append(starpu.joblib.delayed(sub)(6, 2, 5.9))
- #the size of generator
- N=100
- # a=np.array([1,2,3,4,5,6,7,8,9,10])
- # print(type(a))
- def scal(a, t):
- return t*a
- A=np.arange(N)
- #starpu.joblib.Parallel(mode="normal", n_jobs=2, perfmodel="log")(starpu.joblib.delayed(log10)(i+1)for i in range(N))
- # for x in [10, 100, 1000, 10000, 100000, 1000000]:
- # for X2 in range(x, x*10, x):
- # starpu.joblib.Parallel(mode="normal", n_jobs=2, perfmodel="log")(starpu.joblib.delayed(log10)(i+1)for i in range(X2))
- # print(range(X2))
- print("************************")
- print("parallel Normal version:")
- print("************************")
- print("--input is iterable argument list, example 1")
- starpu.joblib.Parallel(mode="normal", n_jobs=-2, perfmodel="first")(starpu.joblib.delayed(sqrt)(i**2)for i in range(N))
- #################scikit test###################
- DEFAULT_JOBLIB_BACKEND = starpu.joblib.get_active_backend()[0].__class__
- class MyBackend(DEFAULT_JOBLIB_BACKEND): # type: ignore
- def __init__(self, *args, **kwargs):
- self.count = 0
- super().__init__(*args, **kwargs)
- def start_call(self):
- self.count += 1
- return super().start_call()
- starpu.joblib.register_parallel_backend('testing', MyBackend)
- with starpu.joblib.parallel_backend("testing") as (ba, n_jobs):
- print("backend and n_jobs is", ba, n_jobs)
- ###############################################
- print("--input is iterable argument list, example 2, with multi input")
- a=np.arange(10)
- b=np.arange(10)
- starpu.joblib.Parallel(mode="normal", n_jobs=-2, perfmodel="first")(starpu.joblib.delayed(multi)(i,j) for i,j in zip(a,b))
- print("--input is iterable function list")
- starpu.joblib.Parallel(mode="normal", n_jobs=3, perfmodel="third")(g_func)
- print("--input is numpy array")
- starpu.joblib.Parallel(mode="normal", n_jobs=2, perfmodel="array")(starpu.joblib.delayed(scal)(2,A))
- print("************************")
- print("parallel Future version:")
- print("************************")
- async def main():
- print("--input is iterable argument list, example 1")
- fut1=starpu.joblib.Parallel(mode="future", n_jobs=-3, perfmodel="first")(starpu.joblib.delayed(sqrt)(i**2)for i in range(N))
- res1=await fut1
- #print(res1)
- print("--input is iterable argument list, example 2, with multi input")
- a=np.arange(10)
- b=np.arange(10)
- fut2=starpu.joblib.Parallel(mode="future", n_jobs=-3, perfmodel="second")(starpu.joblib.delayed(multi)(i,j) for i,j in zip(a,b))
- res2=await fut2
- #print(res2)
- print("--input is iterable function list")
- fut3=starpu.joblib.Parallel(mode="future", n_jobs=2)(g_func)
- res3=await fut3
- #print(res3)
- print("--input is numpy array")
- fut4=starpu.joblib.Parallel(mode="future", n_jobs=2, perfmodel="array")(starpu.joblib.delayed(scal)(2,A))
- res4=await fut4
- #print(res4)
- asyncio.run(main())
- starpu.perfmodel_plot(perfmodel="first",view=False)
- starpu.perfmodel_plot(perfmodel="second",view=False)
- starpu.perfmodel_plot(perfmodel="third",view=False)
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