Part of the confusion here I think comes down to terminology. What GPU people often call cores, aren’t really, and what GPU people often call threads are only in a certain sense. Cores A core, in GPU marketing terms may refer to something like a CPU core, or it may refer to a single lane … Read more
Almost any scientific code — finite differences, finite elements, etc. Which kind of leads to the circular answer, that any distributed program which doesn’t easily map to MapReduce would be better implemented with a more general MPI model. Not sure that’s much help to you, I’ll downvote this answer right after I post it.
So your code is executing Dictionary.FindEntry. It’s not a deadlock – a deadlock happens when two threads block in a way which makes them wait for one another to release a resource, but in your case you’re getting two seemingly infinite loops. The threads aren’t locked. Let’s take a look at this method in the … Read more
There is a map method in multiprocessing.Pool. That does multiple processes. And if multiple processes aren’t your dish, you can use multiprocessing.dummy which uses threads. import urllib import multiprocessing.dummy p = multiprocessing.dummy.Pool(5) def f(post): return urllib.urlopen(‘http://stackoverflow.com/questions/%u’ % post) print p.map(f, range(3329361, 3329361 + 5))
In Map-Reduce for Machine Learning on Multicore Chu et al describe “algorithms that fit the Statistical Query model can be written in a certain “summation form,” which allows them to be easily parallelized on multicore computers.” They specifically implement 10 algorithms including e.g. weighted linear regression, k-Means, Naive Bayes, and SVM, using a map-reduce framework. … Read more
Since Django 1.9 it’s possible to run the tests in parallel by Django with its built-in unit-test features. Django Docs: https://docs.djangoproject.com/en/3.0/ref/django-admin/#cmdoption-test-parallel
Yes, GHC’s RTS uses thunks to implement non-strict evaluation, and they use mutation under the hood, so they require some synchronisation. However, this is simplified due to the fact that most heap objects are immutable and functions are referentially transparent. In a multithreaded program, evaluation of a thunk proceeds as follows: The thunk is atomically† … Read more