Iulian R. Grindeanu

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 14

Top Topics

Adaptive Regularization

Mesh Refinement

Scientific Data

Top Venues

J. Comput. Sci.

Publications

Vijay Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka
Accelerating multivariate functional approximation computation with domain decomposition techniques. J. Comput. Sci. 78 (2024)
David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka
Customizable adaptive regularization techniques for B-spline modeling. J. Comput. Sci. 71 (2023)
Tom Peterka, David Lenz, Iulian R. Grindeanu, Vijay S. Mahadevan
Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data. LDAV (2023)
David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka
Customizable Adaptive Regularization Techniques for B-Spline Modeling. CoRR (2023)
Vijay Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka
Accelerating Multivariate Functional Approximation Computation with Domain Decomposition Techniques. ICCS (1) (2023)
Vijay S. Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka
Parallel Domain Decomposition techniques applied to Multivariate Functional Approximation of discrete data. CoRR (2022)
David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka
Adaptive Regularization of B-Spline Models for Scientific Data. CoRR (2022)
David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka
Adaptive Regularization of B-Spline Models for Scientific Data. ICCS (1) (2022)
Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking. IEEE Trans. Vis. Comput. Graph. 27 (8) (2021)
Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking. CoRR (2020)
Iulian R. Grindeanu, Tom Peterka, Vijay S. Mahadevan, Youssef S. G. Nashed
Scalable, High-Order Continuity Across Block Boundaries of Functional Approximations Computed in Parallel. CLUSTER (2019)
Youssef S. G. Nashed, Tom Peterka, Vijay Mahadevan, Iulian R. Grindeanu
Rational Approximation of Scientific Data. ICCS (1) (2019)
Tom Peterka, Youssef S. G. Nashed, Iulian R. Grindeanu, Vijay S. Mahadevan, Raine Yeh, Xavier Tricoche
Foundations of Multivariate Functional Approximation for Scientific Data. LDAV (2018)
Navamita Ray, Iulian R. Grindeanu, Xinglin Zhao, Vijay Mahadevan, Xiangmin Jiao
Array-based, parallel hierarchical mesh refinement algorithms for unstructured meshes. Comput. Aided Des. 85 (2017)
Robert L. Jacob, Jayesh Krishna, Xiabing Xu, Tim Tautges, Iulian R. Grindeanu, Robert Latham, Kara Peterson, Pavel B. Bochev, Mary Haley, David Brown, Richard Brownrigg, Dennis G. Shea, Wei Huang, Don Middleton
ParNCL and ParGAL: Data-parallel Tools for Postprocessing of Large-scale Earth Science Data. ICCS (2013)
Iulian R. Grindeanu, Nam Ho Kim, Kung K. Choi, Jiun-Shyan Chen
CAD-Based Shape Optimization Using a Meshfree Method. Concurr. Eng. Res. Appl. 10 (1) (2002)