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View Code? Open in Web Editor NEWEvolutionary optimization of student programming assignments
Evolutionary optimization of student programming assignments
Student Program Optimization DESCRIPTION: Use the Genetic Optimization Algorithm (GOA) [1] to optimize student programs. This repository is used to perform reproducible experiments across multiple; - implementations (by multiple students) - languages (C, OCaml, Cool...) - optimization targets (runtime, executable size...) - compilers, compiler flags, machines, and architectures (TODO). [1] https://github.com/eschulte/goa USAGE: Optimize $ make evolve-c-cycles Collect results from a remote machine $ make collect REMOTE_DIR=host:/experiments/stuop Graph and print the results of an optimization pass $ make graph-cycle-stats $ make print-cycle-reduction Evaluate the success of a series of runs $ find results/cycles/* -name "*.store" \ |sed 's/store$/stats/' \ |xargs make
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