Algorithm 1012: DELAUNAYSPARSE: Interpolation via a sparse subset of the Delaunay triangulation in medium to high dimensions

TH Chang, LT Watson, TCH Lux, AR Butt… - ACM Transactions on …, 2020 - dl.acm.org
DELAUNAYSPARSE contains both serial and parallel codes written in Fortran 2003 (with
OpenMP) for performing medium-to high-dimensional interpolation via the Delaunay …

Modeling I/O performance variability in high-performance computing systems using mixture distributions

L Xu, Y Wang, T Lux, T Chang, J Bernard, B Li… - Journal of Parallel and …, 2020 - Elsevier
Performance variability is an important factor of high-performance computing (HPC)
systems. HPC performance variability is often complex because its sources interact and are …

Prediction for distributional outcomes in high-performance computing input/output variability

L Xu, Y Hong, MD Morris… - Journal of the Royal …, 2024 - academic.oup.com
Although high-performance computing (HPC) systems have been scaled to meet the
exponentially growing demand for scientific computing, HPC performance variability …

Crystallization learning with the Delaunay triangulation

J Gu, G Yin - International Conference on Machine Learning, 2021 - proceedings.mlr.press
Based on the Delaunay triangulation, we propose the crystallization learning to estimate the
conditional expectation function in the framework of nonparametric regression. By …

Prediction for Distributional Outcomes in High-Performance Computing I/O Variability

L Xu, Y Hong, MD Morris, KW Cameron - arXiv preprint arXiv:2205.09879, 2022 - arxiv.org
Although high-performance computing (HPC) systems have been scaled to meet the
exponentially-growing demand for scientific computing, HPC performance variability …

Mathematical Software for Multiobjective Optimization Problems

TH Chang - 2020 - vtechworks.lib.vt.edu
In this thesis, two distinct problems in data-driven computational science are considered.
The main problem of interest is the multiobjective optimization problem, where the tradeoff …