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Joined 1 year ago
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Cake day: June 21st, 2023

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  • Wikpedia puts it nicely:

    "The concept of concurrent computing is frequently confused with the related but distinct concept of parallel computing,[3][4] although both can be described as “multiple processes executing during the same period of time”. In parallel computing, execution occurs at the same physical instant: for example, on separate processors of a multi-processor machine, with the goal of speeding up computations—parallel computing is impossible on a (one-core) single processor, as only one computation can occur at any instant (during any single clock cycle).[a] By contrast, concurrent computing consists of process lifetimes overlapping, but execution does not happen at the same instant. "


  • A cpu (core) can only do one thing at a time. When you have multiple cores you can do multiple things at the same time. Multitasking in programming sense is a bad term, it’s a term more for the masses.

    Bit simplified:

    • concurrency: you seem to be doing multiple things at the same time. In reality they are run little by little one after another. Doesn’t really speed things up.
    • parallelism: you actually run multiple things at the same time (multiple cpus/cpu cores required). If the code scales properly or is designed to truly run in parallel the speed up is relative to the number of cpus available.

    Edit: It’s much more complex subject then I’ve presented here.
















  • They didn’t use very comprehensive research methods. Also they only used Github.

    First, from the GHTorrent data set, we extract the email addresses of GitHub users. Second, for each email address, we use the search engine in the Google+ social network to search for users with that email address. Third, we parse the returned users’ ‘About’ page to scrape their gender.

    a bias against men exists, that is, a form of reverse discrimination.

    How is it reverse discrimination. It’s still plain old discrimination. I’m starting to smell a biased research here. Or at least the researchers have a bias.