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Octopus-Man: QoS-driven task management for heterogeneous multicores in warehouse-scale computers.

, , , , , , and . HPCA, page 246-258. IEEE Computer Society, (2015)

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Architectural support for convolutional neural networks on modern CPUs., , , , and . PACT, page 16:1-16:13. ACM, (2018)Whare-map: heterogeneity in "homogeneous" warehouse-scale computers., and . ISCA, page 619-630. ACM, (2013)Continuous shape shifting: Enabling loop co-optimization via near-free dynamic code rewriting., , , and . MICRO, page 23:1-23:12. IEEE Computer Society, (2016)SMiTe: Precise QoS Prediction on Real-System SMT Processors to Improve Utilization in Warehouse Scale Computers., , , and . MICRO, page 406-418. IEEE Computer Society, (2014)Understanding Application Contentiousness and Sensitivity on Modern Multicores., and . Advances in Computers, (2013)Data Collection for Dialogue System: A Startup Perspective., , , , and . NAACL-HLT (3), page 33-40. Association for Computational Linguistics, (2018)Bubble-flux: precise online QoS management for increased utilization in warehouse scale computers., , , and . ISCA, page 607-618. ACM, (2013)Thermal time shifting: leveraging phase change materials to reduce cooling costs in warehouse-scale computers., , , , , , and . ISCA, page 439-449. ACM, (2015)Input responsiveness: using canary inputs to dynamically steer approximation., , , , , and . PLDI, page 161-176. ACM, (2016)ReQoS: reactive static/dynamic compilation for QoS in warehouse scale computers., , , , and . ASPLOS, page 89-100. ACM, (2013)