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Improve the accuracy and cost of evaluations on the GPU #92

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ulysseB opened this issue Jul 30, 2018 · 1 comment
Open

Improve the accuracy and cost of evaluations on the GPU #92

ulysseB opened this issue Jul 30, 2018 · 1 comment
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enhancement New feature or request

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ulysseB commented Jul 30, 2018

We currently run each candidate 20 times on the GPU if it has an execution time within 3X of the current best candidate. Better accuracy and performance could be achieved by exiting after a few evaluations if the performance is too bad and evaluating more if the performance is close the best candidate (e.g <3%).
@ulysseB ulysseB added the enhancement New feature or request label Aug 19, 2018
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ulysseB commented Aug 22, 2018

In particular, the evaluation of the performance model is too slow.

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