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David Lo
ORCID
Publication Activity (10 Years)
Years Active: 2011-2024
Publications (10 Years): 11
Top Topics
Machine Learning Systems
Electrical Energy
Packet Delay
Unsupervised Learning
Top Venues
CoRR
ISCA
HPCA
IEEE Micro
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Publications
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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) (2024)
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) (2022)
Yu Gan
,
Mingyu Liang
,
Sundar Dev
,
David Lo
,
Christina Delimitrou
Practical and Scalable ML-Driven Cloud Performance Debugging With Sage.
IEEE Micro
42 (4) (2022)
Yu Gan
,
Mingyu Liang
,
Sundar Dev
,
David Lo
,
Christina Delimitrou
Sage: practical and scalable ML-driven performance debugging in microservices.
ASPLOS
(2021)
Yu Gan
,
Mingyu Liang
,
Sundar Dev
,
David Lo
,
Christina Delimitrou
Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices.
CoRR
(2021)
Yu Gan
,
Mingyu Liang
,
Sundar Dev
,
David Lo
,
Christina Delimitrou
Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices.
CoRR
(2021)
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)
Kostis Kaffes
,
Dragos Sbirlea
,
Yiyan Lin
,
David Lo
,
Christos Kozyrakis
Leveraging application classes to save power in highly-utilized data centers.
SoCC
(2020)
Sundar Dev
,
David Lo
,
Liqun Cheng
,
Parthasarathy Ranganathan
Autonomous Warehouse-Scale Computers.
DAC
(2020)
Haishan Zhu
,
David Lo
,
Liqun Cheng
,
Rama Govindaraju
,
Parthasarathy Ranganathan
,
Mattan Erez
Kelp: QoS for Accelerated Machine Learning Systems.
HPCA
(2019)
David Lo
,
Liqun Cheng
,
Rama Govindaraju
,
Parthasarathy Ranganathan
,
Christos Kozyrakis
Improving Resource Efficiency at Scale with Heracles.
ACM Trans. Comput. Syst.
34 (2) (2016)
David Lo
,
Liqun Cheng
,
Rama Govindaraju
,
Parthasarathy Ranganathan
,
Christos Kozyrakis
Heracles: improving resource efficiency at scale.
ISCA
(2015)
David Lo
,
Liqun Cheng
,
Rama Govindaraju
,
Luiz André Barroso
,
Christos Kozyrakis
Towards energy proportionality for large-scale latency-critical workloads.
ISCA
(2014)
David Lo
,
Christos Kozyrakis
Dynamic management of TurboMode in modern multi-core chips.
HPCA
(2014)
Daniel Sánchez
,
David Lo
,
Richard M. Yoo
,
Jeremy Sugerman
,
Christos Kozyrakis
Dynamic Fine-Grain Scheduling of Pipeline Parallelism.
PACT
(2011)