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PEBIL: binary instrumentation for practical data-intensive program analysis., , , , , and . Cluster Computing, 18 (1): 1-14 (2015)DjiNN and Tonic: DNN as a service and its implications for future warehouse scale computers., , , , , , , , and . ISCA, page 27-40. ACM, (2015)Sirius: An Open End-to-End Voice and Vision Personal Assistant and Its Implications for Future Warehouse Scale Computers., , , , , , , , , and 1 other author(s). ASPLOS, page 223-238. ACM, (2015)SMiTe: Precise QoS Prediction on Real-System SMT Processors to Improve Utilization in Warehouse Scale Computers., , , and . MICRO, page 406-418. IEEE, (2014)Continuous shape shifting: Enabling loop co-optimization via near-free dynamic code rewriting., , , and . MICRO, page 1-12. IEEE Computer Society, (2016)Architectural support for convolutional neural networks on modern CPUs., , , , and . PACT, page 16:1-16:13. ACM, (2018)AREP: Adaptive Resource Efficient Prefetching for Maximizing Multicore Performance., , , , and . PACT, page 367-378. IEEE Computer Society, (2015)Modeling the Impact of Reduced Memory Bandwidth on HPC Applications., , , , and . Euro-Par, volume 8632 of Lecture Notes in Computer Science, page 63-74. Springer, (2014)Characterizing the Performance-Energy Tradeoff of Small ARM Cores in HPC Computation., , , , , , and . Euro-Par, volume 8632 of Lecture Notes in Computer Science, page 124-137. Springer, (2014)Adrenaline: Pinpointing and reining in tail queries with quick voltage boosting., , , , , , , and . HPCA, page 271-282. IEEE Computer Society, (2015)