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Crowdtuning: systematizing auto-tuning using predictive modeling and crowdsourcing.

, and . PARCO, volume 25 of Advances in Parallel Computing, page 656-667. IOS Press, (2013)

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Crowdtuning: systematizing auto-tuning using predictive modeling and crowdsourcing., and . PARCO, volume 25 of Advances in Parallel Computing, page 656-667. IOS Press, (2013)Rapidly Selecting Good Compiler Optimizations using Performance Counters., , , , , and . CGO, page 185-197. IEEE Computer Society, (2007)Collective mind: Towards practical and collaborative auto-tuning., , , , , , , , and . Scientific Programming, 22 (4): 309-329 (2014)Deconstructing iterative optimization., , , , , , and . TACO, 9 (3): 21:1-21:30 (2012)Collective Mind: cleaning up the research and experimentation mess in computer engineering using crowdsourcing, big data and machine learning.. CoRR, (2013)Automatic performance model construction for the fast software exploration of new hardware designs., , , , , , and . CASES, page 24-34. ACM, (2006)Multi-objective autotuning of MobileNets across the full software/hardware stack., , , and . ReQuEST@ASPLOS, page 6. ACM, (2018)PANEL: Open panel and discussion on tackling complexity, reproducibility and tech transfer challenges in a rapidly evolving AI/ML/systems research., , , , , and . ReQuEST@ASPLOS, page 7. ACM, (2018)Milepost GCC: Machine Learning Enabled Self-tuning Compiler., , , , , , , , , and 7 other author(s). International Journal of Parallel Programming, 39 (3): 296-327 (2011)Proceedings of the 5th International Workshop on Adaptive Self-tuning Computing Systems 2015 (ADAPT'15)., and . CoRR, (2014)