Drew Schmidt

According to our database1, Drew Schmidt authored at least 8 papers between 2012 and 2020.

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Bibliography

2020
Towards the Development of Entropy-Based Anomaly Detection in an Astrophysics Simulation.
CoRR, 2020

A Survey of Singular Value Decomposition Methods for Distributed Tall/Skinny Data.
Proceedings of the 11th IEEE/ACM Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2020

2019
A Scalable Graph Analytics Framework for Programming with Big Data in R (pbdR).
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Defining Big Data Analytics Benchmarks for Next Generation Supercomputers.
CoRR, 2018


2017
Programming with BIG Data in R: Scaling Analytics from One to Thousands of Nodes.
Big Data Res., 2017

2016
Introducing a New Client/Server Framework for Big Data Analytics with the R Language.
Proceedings of the XSEDE16 Conference on Diversity, 2016

2012
Tight Coupling of R and Distributed Linear Algebra for High-Level Programming with Big Data.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012


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