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ORCIDIulian R. Grindeanu
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- affiliation: Argonne National Laboratory, Lemont, IL, USA
- affiliation (PhD): University of Iowa, Center for Computer-Aided Design, Iowa City, IA, USA
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2020 – today
- 2024
[j5]Vijay Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka:
Accelerating multivariate functional approximation computation with domain decomposition techniques. J. Comput. Sci. 78: 102268 (2024)- 2023
- [j4]David Lenz
, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
Customizable adaptive regularization techniques for B-spline modeling. J. Comput. Sci. 71: 102037 (2023) - [c7]Vijay Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka:
Accelerating Multivariate Functional Approximation Computation with Domain Decomposition Techniques. ICCS (1) 2023: 89-103 - [c6]Tom Peterka, David Lenz, Iulian R. Grindeanu, Vijay S. Mahadevan:
Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data. LDAV 2023: 32-41 - [i4]David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
Customizable Adaptive Regularization Techniques for B-Spline Modeling. CoRR abs/2301.01209 (2023) - 2022
- [c5]David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
Adaptive Regularization of B-Spline Models for Scientific Data. ICCS (1) 2022: 150-163 - [i3]David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
Adaptive Regularization of B-Spline Models for Scientific Data. CoRR abs/2203.12730 (2022) - [i2]Vijay S. Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka:
Parallel Domain Decomposition techniques applied to Multivariate Functional Approximation of discrete data. CoRR abs/2210.06528 (2022) - 2021
- [j3]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): 3463-3480 (2021) - 2020
- [i1]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 abs/2011.08697 (2020)
2010 – 2019
- 2019
- [c4]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: 1-9 - [c3]Youssef S. G. Nashed, Tom Peterka, Vijay Mahadevan, Iulian R. Grindeanu:
Rational Approximation of Scientific Data. ICCS (1) 2019: 18-31 - 2018
- [c2]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: 61-71 - 2017
- [j2]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: 68-82 (2017) - 2013
- [c1]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: 1245-1254
2000 – 2009
- 2002
- [j1]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): 55-66 (2002)
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