David Lo
David is a performance engineer at Google. His interests include energy efficiency and resource isolation for latency-critical workloads. He joined Google after graduating from Stanford with a Ph.D. in Electrical Engineering. David also received a B.S. and M.S. in Electrical Engineering from Stanford.
Authored Publications
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Autonomous Warehouse-Scale Computers
Proceedings of the 57th Annual Design Automation Conference 2020, Association for Computing Machinery, New York, NY United States
Thunderbolt: Throughput-Optimized, Quality-of-Service-Aware Power Capping at Scale
Shaohong Li
Sreekumar Kodakara
14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20), {USENIX} Association (2020), pp. 1241-1255
Kelp: QoS for Accelerators in Machine Learning Platforms
Haishan Zhu
Rama Govindaraju
Mattan Erez
International Symposium on High Performance Computer Architecture (2019)
Improving Resource Efficiency at Scale with Heracles
Rama Govindaraju
Christos Kozyrakis
ACM Transactions on Computer Systems (TOCS), 34 (2016), 6:1-6:33
Heracles: Improving Resource Efficiency at Scale
Rama Govindaraju
Christos Kozyrakis
Proceedings of the 42th Annual International Symposium on Computer Architecture (2015)
Towards Energy Proportionality for Large-Scale Latency-Critical Workloads
Rama Govindaraju
Luiz André Barroso
Christos Kozyrakis
Proceedings of the 41th Annual International Symposium on Computer Architecture, ACM (2014)
