The MulticoreBSP Forums
A place to discuss the MulticoreBSP library and its applications, and for discussing the use of the Bulk Synchronous Parallel model on shared-memory architectures, or hybrid distributed/shared architectures.
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#1 2022-01-19 08:17:28
- Archimedes
- Participant
- Registered: 2022-01-18
- Posts: 3
leaderboard visibility
Hi,
I'm curious if the current leaderboard is visible to us just to understand if
1- you were able to run our code
2- how good or bad we positioned wrt others in the meantime
3- if on the leadeboard there are the scores you are judging against all your target runs
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#2 2022-01-19 15:46:23
- Filip Pawlowski
- Coach
- Registered: 2022-01-18
- Posts: 1
Re: leaderboard visibility
Dear Archimedes,
The leaderboard is available online, please see https://challenge.huaweirc.ch/
1./2. If we have received your submission, you should have received an email with the position of your Team that indicates how well you did with respect to others.
3. The scores are relative with respect to the random partitioner available in the starter kit. That is, random partitioner's score is 0.0; a negative score means being worse than random. The total quality score is calculated as described in Section 6 of https://challenge.huaweirc.ch/HYPER_Challenge.pdf
Best regards,
Filip
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#3 2022-01-23 10:35:19
- Archimedes
- Participant
- Registered: 2022-01-18
- Posts: 3
Re: leaderboard visibility
Hi,
a nice observation I got from the mistake we did in maximazing instead of minimizing is that, given the quality score definition, because in maximizing the aim is mainly to diversify as much as possible the colors of the vertices of a hyperedge, the strategy we found is on average worst than your random partitioner that means we were able to diversify even more than the random partitioner achieving so our "wrong" objective 
... now let's try to address the real challenge otpimization goal
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