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@seaQueue@lemmy.world to Programmer Humor@lemmy.ml • 1 year ago

50 million rendered polygons vs one spicy 4.2MB boi

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50 million rendered polygons vs one spicy 4.2MB boi

lemmy.world

@seaQueue@lemmy.world to Programmer Humor@lemmy.ml • 1 year ago
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  • @themoonisacheese@sh.itjust.works
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    292•1 year ago

    Maybe it’s time we invent JPUs (json processing units) to equalize the playing field.

    • @seaQueue@lemmy.worldOP
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      221•1 year ago

      The best I can do is an ML model running on an NPU that parses JSON in subtly wrong and impossible to debug ways

      • @Aceticon@lemmy.world
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        58•1 year ago

        Just make it a LJM (Large JSON Model) capable of predicting the next JSON token from the previous JSON tokens and you would have massive savings in file storagre and network traffic from not having to store and transmit full JSON documents all in exchange for an “acceptable” error rate.

        • @seaQueue@lemmy.worldOP
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          14•1 year ago

          Hardware accelerated JSON Markov chain operations when?

      • @AeroLemming@lemm.ee
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        55•
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        8 months ago

        deleted by creator

        • @knorke3@lemm.ee
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          5•1 year ago

          Did you know? By indiscriminately removing every 3rd letter, you can ethically decrease input size by up to 33%!

      • Terrasque
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        8•1 year ago

        So you’re saying it’s already feature complete with most json libraries out there?

    • Trailblazing Braille Taser
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      17•1 year ago

      Until then, we have simdjson https://github.com/simdjson/simdjson

    • @ApeNo1@lemm.ee
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      9•1 year ago

      JSON and the Argonaut RISC processors

    • @NigelFrobisher@aussie.zone
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      34•
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      1 year ago

      Latest Nvidia co-processor can perform 60 million curly brace instructions a second.

      • I Cast Fist
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        5•1 year ago

        Finally, something to process “databases” that ditched excel for json!

      • JackbyDev
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        4•1 year ago

        60 million CLOPS? No way!

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