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1. chmike+(OP)[view] [source] 2024-01-24 08:12:24
I would have tried parallelism just by curiosity. Split and spread the computation over multiple cores. If you have n cores you could get close to a factor n increase minus the cost of spreading the data and combining the results. That's an easy optimization right out of the box with go (no assembly required).
replies(1): >>camden+ec2
2. camden+ec2[view] [source] 2024-01-24 22:16:26
>>chmike+(OP)
Oh, we do also heavily parallelize. This blog post is just focusing on the single-core perf.
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