David Lo

According to our database, David Lo authored at least 15 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Importance of Generalizability in Machine Learning for Systems.

Varun Gohil, Sundar Dev, Gaurang Upasani, David Lo, Parthasarathy Ranganathan, Christina Delimitrou

IEEE Comput. Archit. Lett., 2024

2022

Enabling Practical Cloud Performance Debugging with Unsupervised Learning.

Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou

ACM SIGOPS Oper. Syst. Rev., 2022

Practical and Scalable ML-Driven Cloud Performance Debugging With Sage.

Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou

IEEE Micro, 2022

2021

Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices.

Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou

CoRR, 2021

Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices.

Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou

CoRR, 2021

Sage: practical and scalable ML-driven performance debugging in microservices.

Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020

Thunderbolt: Throughput-Optimized, Quality-of-Service-Aware Power Capping at Scale.

Shaohong Li, Xi Wang, Xiao Zhang, Vasileios Kontorinis, Sreekumar Kodakara, David Lo, Parthasarathy Ranganathan

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Autonomous Warehouse-Scale Computers.

Sundar Dev, David Lo, Liqun Cheng, Parthasarathy Ranganathan

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Leveraging application classes to save power in highly-utilized data centers.

Kostis Kaffes, Dragos Sbirlea, Yiyan Lin, David Lo, Christos Kozyrakis

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019

Kelp: QoS for Accelerated Machine Learning Systems.

Haishan Zhu, David Lo, Liqun Cheng, Rama Govindaraju, Parthasarathy Ranganathan, Mattan Erez

Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

2016

Improving Resource Efficiency at Scale with Heracles.

David Lo, Liqun Cheng, Rama Govindaraju, Parthasarathy Ranganathan, Christos Kozyrakis

ACM Trans. Comput. Syst., 2016

2015

Heracles: improving resource efficiency at scale.

David Lo, Liqun Cheng, Rama Govindaraju, Parthasarathy Ranganathan, Christos Kozyrakis

Proceedings of the 42nd Annual International Symposium on Computer Architecture, 2015

2014

Towards energy proportionality for large-scale latency-critical workloads.

David Lo, Liqun Cheng, Rama Govindaraju, Luiz André Barroso, Christos Kozyrakis

Proceedings of the ACM/IEEE 41st International Symposium on Computer Architecture, 2014

Dynamic management of TurboMode in modern multi-core chips.

David Lo, Christos Kozyrakis

Proceedings of the 20th IEEE International Symposium on High Performance Computer Architecture, 2014

2011

Dynamic Fine-Grain Scheduling of Pipeline Parallelism.

Daniel Sánchez, David Lo, Richard M. Yoo, Jeremy Sugerman, Christos Kozyrakis

Proceedings of the 2011 International Conference on Parallel Architectures and Compilation Techniques, 2011