Dynamic Fine-Grain Scheduling of Pipeline Parallelism. - Daniel Sánchez 003; David Lo 003; Richard M. Yoo; Jeremy Sugerman; Christos Kozyrakis (PACT, 2011)

Dynamic management of TurboMode in modern multi-core chips. - David Lo 003; Christos Kozyrakis (HPCA, 2014)

Towards energy proportionality for large-scale latency-critical workloads. - David Lo 003; Liqun Cheng; Rama Govindaraju; Luiz André Barroso; Christos Kozyrakis (ISCA, 2014)

Heracles: improving resource efficiency at scale. - David Lo 003; Liqun Cheng; Rama K. Govindaraju; Parthasarathy Ranganathan; Christos Kozyrakis (ISCA, 2015)

Improving Resource Efficiency at Scale with Heracles. - David Lo 003; Liqun Cheng; Rama K. Govindaraju; Parthasarathy Ranganathan; Christos Kozyrakis (ACM Trans. Comput. Syst., 2016)

Kelp: QoS for Accelerated Machine Learning Systems. - Haishan Zhu; David Lo 003; Liqun Cheng; Rama K. Govindaraju; Parthasarathy Ranganathan; Mattan Erez (HPCA, 2019)

Leveraging application classes to save power in highly-utilized data centers. - Kostis Kaffes; Dragos Sbirlea; Yiyan Lin; David Lo 003; Christos Kozyrakis (SoCC, 2020)

Autonomous Warehouse-Scale Computers. - Sundar Dev; David Lo 003; Liqun Cheng; Parthasarathy Ranganathan (DAC, 2020)

Thunderbolt: Throughput-Optimized, Quality-of-Service-Aware Power Capping at Scale. - Shaohong Li; Xi Wang; Xiao Zhang; Vasileios Kontorinis; Sreekumar Kodakara; David Lo 003; Parthasarathy Ranganathan (OSDI, 2020)

Sage: practical and scalable ML-driven performance debugging in microservices. - Yu Gan 002; Mingyu Liang; Sundar Dev; David Lo 003; Christina Delimitrou (ASPLOS, 2021)

Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices. - Yu Gan 002; Mingyu Liang; Sundar Dev; David Lo 003; Christina Delimitrou (CoRR, 2021)

Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices. - Yu Gan 002; Mingyu Liang; Sundar Dev; David Lo 003; Christina Delimitrou (CoRR, 2021)

Practical and Scalable ML-Driven Cloud Performance Debugging With Sage. - Yu Gan 002; Mingyu Liang; Sundar Dev; David Lo 003; Christina Delimitrou (IEEE Micro, 2022)

Enabling Practical Cloud Performance Debugging with Unsupervised Learning. - Yu Gan 002; Mingyu Liang; Sundar Dev; David Lo 003; Christina Delimitrou (ACM SIGOPS Oper. Syst. Rev., 2022)

The Importance of Generalizability in Machine Learning for Systems. - Varun Gohil; Sundar Dev; Gaurang Upasani; David Lo 003; Parthasarathy Ranganathan; Christina Delimitrou (IEEE Comput. Archit. Lett., 2024)