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Found 2 papers, 1 papers with code
GEVO-ML: Optimizing Machine Learning Code with Evolutionary Computation
For the training workloads, GEVO-ML finds a 4. 88% improvement in model accuracy, from 91% to 96%, without sacrificing training or testing speed.
GEVO: GPU Code Optimization using Evolutionary Computation
If kernel output accuracy is relaxed to tolerate up to 1% error, GEVO can find kernel variants that outperform the baseline version by an average of 51. 08%.
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