gildasch / hashcode-2017

Our solution for Google's Hashcode 2017 Qualification Round (score 2.4M)

Repository from Github https://github.comgildasch/hashcode-2017Repository from Github https://github.comgildasch/hashcode-2017

This is algorithm of team Gildas2000 for Google's HashCode 2017, Qualification Round (which we didn't pass).

We've had 2 approachs, the first is to start by selecting the caches one after the other, selecting the best vids for each. All caches are filled in sequence and we never go back on our decisions, which make it very time efficient (kittens is less than 2 minutes. This is the one that gave us the best scores (on kittens at least).

The second one is to sort the predictions in term of impact on latency and to try to solve the biggest demands by adding the video into a cache. It is necessary to go back on some decisions frequently so this algorithm is much longer to run.

The 2 last commits during the contest are 45ecd08 and 91fa879, our score at that point was 1584833. The rest was added during the Extended Round, the final score is 2414834.

Final score

Thanks to @Ripounet for the input/output helpers ;)

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Our solution for Google's Hashcode 2017 Qualification Round (score 2.4M)


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