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ORCIDDavid Lo 0003
Person information
- affiliation: Google Inc., Mountain View, CA, USA
- affiliation: Stanford University, CA, USA
Other persons with the same name
- David Lo 0001
![[0000-0002-4367-7201]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-4367-7201")
— Singapore Management University, School of Information Systems, Singapore (and 1 more) - David Lo 0002 — Carleton University, Department of System and Computer Engineering, Ottawa, ON, Canada
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2020 – today
- 2024
[j4]Varun Gohil, Sundar Dev, Gaurang Upasani, David Lo, Parthasarathy Ranganathan, Christina Delimitrou:
The Importance of Generalizability in Machine Learning for Systems. IEEE Comput. Archit. Lett. 23(1): 95-98 (2024)- 2022
- [j3]Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou:
Practical and Scalable ML-Driven Cloud Performance Debugging With Sage. IEEE Micro 42(4): 27-36 (2022) - [j2]Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou:
Enabling Practical Cloud Performance Debugging with Unsupervised Learning. ACM SIGOPS Oper. Syst. Rev. 56(1): 34-41 (2022) - 2021
- [c9]Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou:
Sage: practical and scalable ML-driven performance debugging in microservices. ASPLOS 2021: 135-151 - [i2]Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou:
Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices. CoRR abs/2101.00267 (2021) - [i1]Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou:
Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices. CoRR abs/2112.06263 (2021) - 2020
- [c8]Kostis Kaffes, Dragos Sbirlea, Yiyan Lin, David Lo, Christos Kozyrakis:
Leveraging application classes to save power in highly-utilized data centers. SoCC 2020: 134-149 - [c7]Sundar Dev, David Lo, Liqun Cheng, Parthasarathy Ranganathan:
Autonomous Warehouse-Scale Computers. DAC 2020: 1-6 - [c6]Shaohong Li, Xi Wang, Xiao Zhang, Vasileios Kontorinis, Sreekumar Kodakara, David Lo, Parthasarathy Ranganathan:
Thunderbolt: Throughput-Optimized, Quality-of-Service-Aware Power Capping at Scale. OSDI 2020: 1241-1255
2010 – 2019
- 2019
- [c5]Haishan Zhu, David Lo, Liqun Cheng, Rama Govindaraju, Parthasarathy Ranganathan, Mattan Erez:
Kelp: QoS for Accelerated Machine Learning Systems. HPCA 2019: 172-184 - 2016
- [j1]David Lo, Liqun Cheng, Rama Govindaraju, Parthasarathy Ranganathan, Christos Kozyrakis:
Improving Resource Efficiency at Scale with Heracles. ACM Trans. Comput. Syst. 34(2): 6:1-6:33 (2016) - 2015
- [c4]David Lo, Liqun Cheng, Rama Govindaraju, Parthasarathy Ranganathan, Christos Kozyrakis:
Heracles: improving resource efficiency at scale. ISCA 2015: 450-462 - 2014
- [c3]David Lo, Christos Kozyrakis:
Dynamic management of TurboMode in modern multi-core chips. HPCA 2014: 603-613 - [c2]David Lo, Liqun Cheng, Rama Govindaraju, Luiz André Barroso, Christos Kozyrakis:
Towards energy proportionality for large-scale latency-critical workloads. ISCA 2014: 301-312 - 2011
- [c1]Daniel Sánchez, David Lo, Richard M. Yoo, Jeremy Sugerman, Christos Kozyrakis:
Dynamic Fine-Grain Scheduling of Pipeline Parallelism. PACT 2011: 22-32
Coauthor Index
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