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Rapidly Selecting Good Compiler Optimizations using Performance Counters., , , , , and . CGO, page 185-197. IEEE Computer Society, (2007)Automatic performance model construction for the fast software exploration of new hardware designs., , , , , , and . CASES, page 24-34. ACM, (2006)Crowdtuning: systematizing auto-tuning using predictive modeling and crowdsourcing., and . PARCO, volume 25 of Advances in Parallel Computing, page 656-667. IOS Press, (2013)Collective Mind: cleaning up the research and experimentation mess in computer engineering using crowdsourcing, big data and machine learning.. CoRR, (2013)Deconstructing iterative optimization., , , , , , and . TACO, 9 (3): 21:1-21:30 (2012)Collective mind: Towards practical and collaborative auto-tuning., , , , , , , , and . Scientific Programming, 22 (4): 309-329 (2014)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)Community-driven reviewing and validation of publications., and . TRUST@PLDI, page 5:1-5:4. ACM, (2014)Optimizing convolutional neural networks on embedded platforms with OpenCL., and . IWOCL, page 10:1-10:4. ACM, (2016)