The personal website and blog of Ryan Marcus, a graduate student at Brandeis University. Previously worked at HPE Vertica and Los Alamos National Laboratory.
      
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Portfolio

Heavy usageModerate usageNo usageJavaSQLCPythonMachine LearningOpenCLJSGoObjCRubyHadoopClojure2008200920102011201220132014201520162017

Works

Publications

Ryan Marcus, Sofiya Semenova, and Olga Papaemmanouil. “A Learning-based Service for Cost and Performance Management of Cloud Databases (Demonstration).” IEEE International Conference on Data Engineering (ICDE) 2017. (pdf)

Ryan Marcus and Olga Papaemmanouil. “Releasing Cloud Databases from the Chains of Performance Prediction Models.” Conference on Innovative Data Systems Research (CIDR) 2017. (pdf)

Ryan Marcus and Olga Papaemmanouil. “WiSeDB: a learning-based workload management advisor for cloud databases.” Proceedings of the VLDB Endowment, Volume 9, Issue 10, June 2016. (pdf)

Ryan Marcus and Olga Papaemmanouil. “Workload Management for Cloud Databases via Machine Learning.” Workshop on Cloud Data Management and the IEEE International Conference on Data Engineering, CloudDM 2016. (pdf)

Ryan Marcus and Shaughan Lavine. “An Efficient Algorithm and Monte Carlo Methods for Inferring Functional Dependencies.” Tech. Rep. University of Arizona, 2014. (pdf)

Ryan Marcus. “Techniques for Automated Performance Analysis.” Tech. Rep. LA-UR-14-26577, Los Alamos National Laboratory, 2014. (pdf)

Ryan Marcus and William Ward. “DP: A fast median filter approximation.” Tech. Rep. LA-UR-13-25331, Los Alamos National Laboratory, 2013. (pdf)

Ryan Marcus. “MCMini: Monte Carlo on GPGPU.” Tech. Rep. LA-UR-12-23206, Los Alamos National Laboratory, 2012. (pdf)

Lawrence Cox and Ryan Marcus. “Developing a Monte Carlo mini-app for exascale co-design.” Tech. Rep. LA-UR-11-06085, Los Alamos National Laboratory, 2011. (pdf)

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