1 citations · 2 across the 3 of their papers we have counts for
4 papers
Towards the Development of Entropy-Based Anomaly Detection in an Astrophysics Simulation
Drew Schmidt, Bronson Messer, M. Todd Young +1
The use of AI and ML for scientific applications is currently a very exciting and dynamic field. Much of this excitement for HPC has focused on ML applications whose analysis and c…
A Survey of Singular Value Decomposition Methods for Distributed Tall/Skinny Data
Drew Schmidt
The Singular Value Decomposition (SVD) is one of the most important matrix factorizations, enjoying a wide variety of applications across numerous application domains. In statistic…
Defining Big Data Analytics Benchmarks for Next Generation Supercomputers
Drew Schmidt, Junqi Yin, Michael Matheson +2
The design and construction of high performance computing (HPC) systems relies on exhaustive performance analysis and benchmarking. Traditionally this activity has been geared excl…
Parallel Statistical Computing with R: An Illustration on Two Architectures
George Ostrouchov, Wei-Chen Chen, Drew Schmidt
To harness the full benefit of new computing platforms, it is necessary to develop software with parallel computing capabilities. This is no less true for statisticians than for as…