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Posts
4
Comments
326
Joined
2 yr. ago

  • Having emotions based on facts is not necessarily bias. If what's happening is revolting it is a natural and I'd say positive way of going about things by acting on this feeling by trying to end whatever is causing the feeling.

  • I remembered incorrectly, what I was thinking about was the percentage of people relying on international aid which is/was between 75% and 80%. I didn't find anything on how the unemployment rates are calculated, are women even included in the total potential workforce? I'd guess so, because they are interested in reporting a number that's as high as possible, but on the other hand they might not do that out of bigotry?

    Edit: Apparently yes women are counted towards the total and they are around 60% unemployed

  • I think that xenophobia is also not a "real" phobia. It's not like people described as xenophobes are panicking at the sight of coloured people like people with arachnophobia are. Calling someone a xenophobe is just another way of calling them a racist it's just more fancy

  • No they didn't. They clearly stated that we need to take political action which is the only way to force the companies to align with our goals. Policies that drastic need a lot of backup in the society that legitimises these policies, which is what they meant by "we are all raindrops"

  • Hi Not the guy of the above comment but I'd like to chip in :)

    I don't know about the cache, I think I heard something about this and the answer being basically that yes more distance just makes it slower.

    About the multithreading:

    If the cost of creating Threads is becoming an issue look into the concept of threadpools. They are a neat way of reusing ressources and ensuring you don't try to have more parallelism than is actually possible.

    Edit: if your work is CPU bound, so the cores are actually computing all the time and not waiting on IO or networking, the rule of thumb is to not let the number of threads exceed the number of cores.

    As for usecases for servers with these many cores: shared computing for example VM hosts. The amount of VMs you can sensibly host on a server is limited by the amount of cores you have. Depending on the kind of hypervisor you are using you can share cores between VMs but that's going to make the VMs slower.

    Another example of shared computing are HPC clusters where many people schedule some kind of work, the cluster allocates the ressources executes the task and returns the results to you. Having more cores allows more of these tasks to run in parallel effectively increasing the throughput of the cluster.