Tight Coupling of R and Distributed Linear Algebra for High-Level Programming with Big Data. - Drew Schmidt; George Ostrouchov; Wei-Chen Chen; Pragneshkumar B. Patel (SC Companion, 2012)

Introducing a New Client/Server Framework for Big Data Analytics with the R Language. - Drew Schmidt; Wei-Chen Chen; George Ostrouchov (XSEDE, 2016)

Programming with BIG Data in R: Scaling Analytics from One to Thousands of Nodes. - Drew Schmidt; Wei-Chen Chen; Michael A. Matheson; George Ostrouchov (Big Data Res., 2017)

The design, deployment, and evaluation of the CORAL pre-exascale systems. - Sudharshan S. Vazhkudai; Bronis R. de Supinski; Arthur S. Bland; Al Geist; James C. Sexton; Jim Kahle; Christopher Zimmer 001; Scott Atchley; Sarp Oral; Don E. Maxwell; Verónica G. Vergara Larrea; Adam Bertsch; et al. (SC, 2018)

Defining Big Data Analytics Benchmarks for Next Generation Supercomputers. - Drew Schmidt; Junqi Yin; Michael A. Matheson; Bronson Messer; Mallikarjun Shankar (CoRR, 2018)

A Scalable Graph Analytics Framework for Programming with Big Data in R (pbdR). - S. M. Shamimul Hasan; Drew Schmidt; Ramakrishnan Kannan; Neena Imam (IEEE BigData, 2019)

A Survey of Singular Value Decomposition Methods for Distributed Tall/Skinny Data. - Drew Schmidt (ScalA@SC, 2020)

Towards the Development of Entropy-Based Anomaly Detection in an Astrophysics Simulation. - Drew Schmidt; Bronson Messer; M. Todd Young; Michael A. Matheson (CoRR, 2020)