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David Lo
David Lo
Google
Zweryfikowany adres z alumni.stanford.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Heracles: Improving resource efficiency at scale
D Lo, L Cheng, R Govindaraju, P Ranganathan, C Kozyrakis
Proceedings of the 42nd Annual International Symposium on Computer …, 2015
5322015
Towards energy proportionality for large-scale latency-critical workloads
D Lo, L Cheng, R Govindaraju, LA Barroso, C Kozyrakis
ACM SIGARCH Computer Architecture News 42 (3), 301-312, 2014
3482014
Rethinking DRAM power modes for energy proportionality
KT Malladi, I Shaeffer, L Gopalakrishnan, D Lo, BC Lee, M Horowitz
2012 45th Annual IEEE/ACM International Symposium on Microarchitecture, 131-142, 2012
872012
Dynamic fine-grain scheduling of pipeline parallelism
D Sanchez, D Lo, RM Yoo, J Sugerman, C Kozyrakis
2011 International Conference on Parallel Architectures and Compilation …, 2011
732011
Improving resource efficiency at scale with Heracles
D Lo, L Cheng, R Govindaraju, P Ranganathan, C Kozyrakis
ACM Transactions on Computer Systems (TOCS) 34 (2), 6, 2016
702016
Dynamic management of TurboMode in modern multi-core chips
D Lo, C Kozyrakis
2014 IEEE 20th International Symposium on High Performance Computer …, 2014
682014
Sage: practical and scalable ML-driven performance debugging in microservices
Y Gan, M Liang, S Dev, D Lo, C Delimitrou
Proceedings of the 26th ACM International Conference on Architectural …, 2021
472021
Kelp: Qos for accelerated machine learning systems
H Zhu, D Lo, L Cheng, R Govindaraju, P Ranganathan, M Erez
2019 IEEE International Symposium on High Performance Computer Architecture …, 2019
232019
Thunderbolt: Throughput-optimized, quality-of-service-aware power capping at scale
S Li, X Wang, X Zhang, V Kontorinis, S Kodakara, D Lo, P Ranganathan
162020
Leveraging application classes to save power in highly-utilized data centers
K Kaffes, D Sbirlea, Y Lin, D Lo, C Kozyrakis
Proceedings of the 11th ACM Symposium on Cloud Computing, 134-149, 2020
142020
Sage: Leveraging ml to diagnose unpredictable performance in cloud microservices
Y Gan, M Liang, S Dev, D Lo, C Delimitrou
arXiv preprint arXiv:2112.06263, 2021
102021
Autonomous warehouse-scale computers
S Dev, D Lo, L Cheng, P Ranganathan
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
32020
Reconciling High Efficiency with Low Latency in the Datacenter
D Lo
Stanford University, 2015
32015
Dynamic service level objective power control in distributed process
D Lo, L Cheng, RK Govindaraju
US Patent 9,436,258, 2016
22016
Sage: Using unsupervised learning for scalable performance debugging in microservices
Y Gan, M Liang, S Dev, D Lo, C Delimitrou
arXiv preprint arXiv:2101.00267, 2021
12021
Managing processing system efficiency
L Cheng, RK Govindaraju, H Zhu, D Lo, P Ranganathan, N Patil
US Patent 10,908,964, 2021
2021
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