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Increasing Utilization in Modern Warehouse-Scale Computers Using Bubble-Up.

, , , , and . IEEE Micro, 32 (3): 88-99 (2012)

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Understanding Application Contentiousness and Sensitivity on Modern Multicores., and . Advances in Computers, (2013)Input responsiveness: using canary inputs to dynamically steer approximation., , , , , and . PLDI, page 161-176. ACM, (2016)Data Collection for Dialogue System: A Startup Perspective., , , , and . NAACL-HLT (3), page 33-40. Association for Computational Linguistics, (2018)ReQoS: reactive static/dynamic compilation for QoS in warehouse scale computers., , , , and . ASPLOS, page 89-100. ACM, (2013)Thermal time shifting: leveraging phase change materials to reduce cooling costs in warehouse-scale computers., , , , , , and . ISCA, page 439-449. ACM, (2015)Bubble-flux: precise online QoS management for increased utilization in warehouse scale computers., , , and . ISCA, page 607-618. ACM, (2013)Adrenaline: Pinpointing and reining in tail queries with quick voltage boosting., , , , , , , and . HPCA, page 271-282. IEEE Computer Society, (2015)Understanding the Impact of Socket Density in Density Optimized Servers., , , , , , and . HPCA, page 687-700. IEEE, (2019)Explanation Exploration: Exploring Emergent Behavior., , , and . PADS, page 113-122. IEEE Computer Society, (2007)Gist: Efficient Data Encoding for Deep Neural Network Training., , , , and . ISCA, page 776-789. IEEE Computer Society, (2018)