“术理创新”完成数亿元人民币C轮融资
A strange piece of software has recently landed on the PC gaming store Steam. And “software” feels like the cleanest way to describe it. Existing somewhere between a full-blown life sim, a science project and a kind of haunted fish tank, Anlife: Motion-learning Life Evolution probably would have disappeared without making much impact if it wasn’t for one unusual factor. Several years ago some of its creators were absolutely roasted on camera by one of the genuine legends of Japanese animation.。业内人士推荐体育直播作为进阶阅读
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There are a couple ways mitigate this drawback, both of which are outside the scope of this article. One is “garbage collection”: pruning tombstones from CRDTs, which prevents you from merging states with any changes made before the tombstones were removed. Another is creating an efficient format to encode the data. You can also combine these methods. Research suggests that this can result in as little as 50% overhead compared to the “plain” data CRDTs: The Hard Parts A talk on the latest research on CRDTs, originally given at the Hydra distributed computing conference on 6 July 2020.References: https://martin.kleppmann.co... youtu.be/x7drE24geUw?t=3587 . If you’d like to skip ahead and see some of this optimization in action, check out the final part in this series: Making CRDTs 98% More Efficient Making CRDTs 98% More Efficient | jakelazaroff.com State-based CRDTs grow monotonically, but that doesn't mean they can't be efficient. We'll learn how to compress the pixel editor state by 98%. jakelazaroff.com/words/making-crdts-98-percent-more-efficient/ . ↩
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