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Jarvis: Large-scale Server Monitoring with Adaptive Near-data Processing., , , , and . ICDE, page 1408-1422. IEEE, (2022)Quantifying the Mismatch between Emerging Scale-Out Applications and Modern Processors., , , , , , , , , and . ACM Trans. Comput. Syst., 30 (4): 15:1-15:24 (2012)Streaming Analytics with Adaptive Near-data Processing., , , , and . WWW (Companion Volume), page 563-566. ACM, (2022)A Case for Specialized Processors for Scale-Out Workloads., , , , , , , , , and . IEEE Micro, 34 (3): 31-42 (2014)DC-DRF: Adaptive Multi-Resource Sharing at Public Cloud Scale., , and . SoCC, page 374-385. ACM, (2018)COCOAEXPO: Confidential Containers via Attested Execution Policies., , , , , , , and . CoRR, (2023)CCNoC: Specializing On-Chip Interconnects for Energy Efficiency in Cache-Coherent Servers., , , , , and . NOCS, page 67-74. IEEE Computer Society, (2012)Die-stacked DRAM caches for servers: hit ratio, latency, or bandwidth? have it all with footprint cache., , and . ISCA, page 404-415. ACM, (2013)Graviton: Trusted Execution Environments on GPUs., , and . OSDI, page 681-696. USENIX Association, (2018)Scale-out processors, , , , , , , , , and . volume 40 of 3, IEEE Computer Society, (2012)