parallel-processing

问题 I have a website and I am also exploring Parallel Processing in C# and I thought it would be a good idea to see if I could write my own DDOS test script to see how the site would handle a DDOS attack. However when I run it, there only seems to be 13 threads in use and they always return 200 status codes, never anything to suggest the response wasn't quick and accurate and when going to the site and refreshing at the same time as the script runs the site loads quickly. I know there are tools

问题 I have a website and I am also exploring Parallel Processing in C# and I thought it would be a good idea to see if I could write my own DDOS test script to see how the site would handle a DDOS attack. However when I run it, there only seems to be 13 threads in use and they always return 200 status codes, never anything to suggest the response wasn't quick and accurate and when going to the site and refreshing at the same time as the script runs the site loads quickly. I know there are tools

问题 I have a website and I am also exploring Parallel Processing in C# and I thought it would be a good idea to see if I could write my own DDOS test script to see how the site would handle a DDOS attack. However when I run it, there only seems to be 13 threads in use and they always return 200 status codes, never anything to suggest the response wasn't quick and accurate and when going to the site and refreshing at the same time as the script runs the site loads quickly. I know there are tools

问题 I have a website and I am also exploring Parallel Processing in C# and I thought it would be a good idea to see if I could write my own DDOS test script to see how the site would handle a DDOS attack. However when I run it, there only seems to be 13 threads in use and they always return 200 status codes, never anything to suggest the response wasn't quick and accurate and when going to the site and refreshing at the same time as the script runs the site loads quickly. I know there are tools

问题 Once I have divided the tasks to 4 independent tasks and make them run in parallel. Is it possible to further make each task run in parallel ? (says, each task, there are lots of for each loop - that could be implemented as parallel code) 回答1: You definitely could, but it doesn't guarantee thread safety. You have to take into account multiple factors though What's the size of your iterations (The more, the better) How many concurrent threads can your CPU handle The amount of cores in your

问题 I need to run an embarrassingly parallel for loop. After a quick search, I found package joblib for python. I did a simple test as posted on the package's website. Here is the test from math import sqrt from joblib import Parallel, delayed import multiprocessing %timeit [sqrt(i ** 2) for i in range(10)] result: 3.89 µs ± 38.9 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each) num_cores = multiprocessing.cpu_count() %timeit Parallel(n_jobs=num_cores)(delayed(sqrt)(i ** 2) for i in

问题 I need to run an embarrassingly parallel for loop. After a quick search, I found package joblib for python. I did a simple test as posted on the package's website. Here is the test from math import sqrt from joblib import Parallel, delayed import multiprocessing %timeit [sqrt(i ** 2) for i in range(10)] result: 3.89 µs ± 38.9 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each) num_cores = multiprocessing.cpu_count() %timeit Parallel(n_jobs=num_cores)(delayed(sqrt)(i ** 2) for i in

问题 The snippet of my serial code is shown below. Program main use omp_lib Implicit None Integer :: i, my_id Real(8) :: t0, t1, t2, t3, a = 0.0d0 !$ t0 = omp_get_wtime() Call CPU_time(t2) ! ------------------------------------------ ! Do i = 1, 100000000 a = a + Real(i) End Do ! ------------------------------------------ ! Call CPU_time(t3) !$ t1 = omp_get_wtime() ! ------------------------------------------ ! Write (*,*) "a = ", a Write (*,*) "The wall time is ", t1-t0, "s" Write (*,*) "The CPU

问题 I have a very weird problem while creating a Python extension with Cython that uses joblib.Parallel . The following code works as expected: from joblib import Parallel, delayed from math import sqrt print(Parallel(n_jobs=4)(delayed(sqrt)(x) for x in range(4))) The following code hangs forever: from joblib import Parallel, delayed def mult(x): return x*3 print(Parallel(n_jobs=4)(delayed(mult)(x) for x in range(4))) I have no clues why. I use the following setup.py : from distutils.core import

问题 I have a very weird problem while creating a Python extension with Cython that uses joblib.Parallel . The following code works as expected: from joblib import Parallel, delayed from math import sqrt print(Parallel(n_jobs=4)(delayed(sqrt)(x) for x in range(4))) The following code hangs forever: from joblib import Parallel, delayed def mult(x): return x*3 print(Parallel(n_jobs=4)(delayed(mult)(x) for x in range(4))) I have no clues why. I use the following setup.py : from distutils.core import