Thunderbolt: Throughput-Optimized, Quality-of-Service-Aware Power Capping at Scale
Shaohong Li , Xi Wang , Faria Kalim , Xiao Zhang
operating systems design and implementation 1241 -1255
2020
Sage: practical and scalable ML-driven performance debugging in microservices
Christina Delimitrou , David Lo , Yu Gan , Sundar Dev
architectural support for programming languages and operating systems 135 -151
2021
Improving Resource Efficiency at Scale with Heracles
David Lo , Liqun Cheng , Rama Govindaraju , Parthasarathy Ranganathan
ACM Transactions on Computer Systems 34 ( 2) 6
28
2016
Autonomous Warehouse-Scale Computers
Sundar Dev , David Lo , Liqun Cheng , Parthasarathy Ranganathan
design automation conference 1 -6
2020
Leveraging application classes to save power in highly-utilized data centers
Kostis Kaffes , Dragos Sbirlea , Yiyan Lin , David Lo
symposium on cloud computing 134 -149
1
2020
Dynamic management of TurboMode in modern multi-core chips
David Lo , Christos Kozyrakis
high-performance computer architecture 603 -613
32
2014
Kelp: QoS for Accelerated Machine Learning Systems
Haishan Zhu , David Lo , Liqun Cheng , Rama Govindaraju
high-performance computer architecture 172 -184
8
2019
Rethinking DRAM Power Modes for Energy Proportionality
Krishna T. Malladi , Ian Shaeffer , Liji Gopalakrishnan , David Lo
international symposium on microarchitecture 131 -142
88
2012
Heracles: improving resource efficiency at scale
David Lo , Liqun Cheng , Rama Govindaraju , Parthasarathy Ranganathan
international symposium on computer architecture 43 ( 3) 450 -462
538
2015
Towards energy proportionality for large-scale latency-critical workloads
David Lo , Liqun Cheng , Rama Govindaraju , Luiz André Barroso
international symposium on computer architecture 42 ( 3) 301 -312
351
2014
Managing processing system efficiency
Liqun Cheng , Rama Krishna Govindaraju , Haishan Zhu , David Lo
2021
Sage: Leveraging ml to diagnose unpredictable performance in cloud microservices
Yu Gan , Mingyu Liang , Sundar Dev , David Lo
arXiv preprint arXiv:2112.06263
21
2021
Sage: Using unsupervised learning for scalable performance debugging in microservices
Yu Gan , Mingyu Liang , Sundar Dev , David Lo
arXiv preprint arXiv:2101.00267
5
2021
Enabling practical cloud performance debugging with unsupervised learning
Yu Gan , Mingyu Liang , Sundar Dev , David Lo
ACM SIGOPS Operating Systems Review 56 ( 1) 34 -41
1
2022
Practical and Scalable ML-Driven Cloud Performance Debugging With Sage
Yu Gan , Mingyu Liang , Sundar Dev , David Lo
IEEE Micro 42 ( 4) 27 -36
1
2022
Dynamic service level objective power control in distributed process
David Lo , Liqun Cheng , Rama Krishna Govindaraju
2
2016
Reconciling High Efficiency with Low Latency in the Datacenter
David Lo
Stanford University
3
2015