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This repository has been archived by the owner on Jan 17, 2022. It is now read-only.
We can implement a naive model of gas metering that doesn't try to minimize the number of gas metering statements and collary is going to be very simple.
Then we can try to generate random wasm binaries, process them with either of models and then compare the amount of consumed gas of each.
For generation of random cases we can use binaryen's translate-to-fuzz.
The text was updated successfully, but these errors were encountered:
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We can implement a naive model of gas metering that doesn't try to minimize the number of gas metering statements and collary is going to be very simple.
Then we can try to generate random wasm binaries, process them with either of models and then compare the amount of consumed gas of each.
For generation of random cases we can use binaryen's translate-to-fuzz.
The text was updated successfully, but these errors were encountered: