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Treadmill: Attributing the Source of Tail Latency through Precise Load Testing and Statistical Inference.

, , , and . ISCA, page 456-468. IEEE Computer Society, (2016)

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Increasing Utilization in Modern Warehouse-Scale Computers Using Bubble-Up., , , , and . IEEE Micro, 32 (3): 88-99 (2012)Heterogeneity in "Homogeneous" Warehouse-Scale Computers: A Performance Opportunity., , and . IEEE Comput. Archit. Lett., 10 (2): 29-32 (2011)Evaluating indirect branch handling mechanisms in software dynamic translation systems., , , , , and . ACM Trans. Archit. Code Optim., 8 (2): 9:1-9:28 (2011)Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's GPT-4 with Self-Hosted Open Source SLMs in Production., , , , , , , and . CoRR, (2023)The Jaseci Programming Paradigm and Runtime Stack: Building Scale-out Production Applications Easy and Fast., , , , , , and . CoRR, (2023)Baymax: QoS Awareness and Increased Utilization for Non-Preemptive Accelerators in Warehouse Scale Computers., , , and . ASPLOS, page 681-696. ACM, (2016)Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge., , , , , , and . ASPLOS, page 615-629. ACM, (2017)Treadmill: Attributing the Source of Tail Latency through Precise Load Testing and Statistical Inference., , , and . ISCA, page 456-468. IEEE Computer Society, (2016)GrandSLAm: Guaranteeing SLAs for Jobs in Microservices Execution Frameworks., , , , , and . EuroSys, page 34:1-34:16. ACM, (2019)PowerChief: Intelligent Power Allocation for Multi-Stage Applications to Improve Responsiveness on Power Constrained CMP., , , , , and . ISCA, page 133-146. ACM, (2017)