We didn't finish the implementation that would use SCEV for all loops. We should use LLVM's scalar evolution to generate expressions describing the iteration count of loop and make it taint sink instead of checking loop exit conditions in every iteration.
It has to be enabled with a switch to allow for future benchmarking.
This python package provides various tools to predict energy expenditure and recovery dynamics of an athlete. The name pypermod stands for Python Performance Modeling.
A generalized interpretation and formalization of the three component hydraulic model that removes its ties to concrete metabolic measures and allows to use evolutionary computation to fit its parameters to an athlete.
We didn't finish the implementation that would use SCEV for all loops. We should use LLVM's scalar evolution to generate expressions describing the iteration count of loop and make it taint sink instead of checking loop exit conditions in every iteration.
It has to be enabled with a switch to allow for future benchmarking.