Iulian R. Grindeanu

17 papers C 1Misc 1Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
REMORA: Regional Modeling of Oceans Refined Adaptively (built on AMReX).
J. Open Source Softw.
Hannah Klion, Robert D. Hetland, Jean M. Sexton, Ann S. Almgren, Iulian R. Grindeanu, Kyle Hinson, Vijay Mahadevan
2024 J jnl
Accelerating multivariate functional approximation computation with domain decomposition techniques.
J. Comput. Sci.
Vijay Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka
2023 — conf
Accelerating Multivariate Functional Approximation Computation with Domain Decomposition Techniques.
ICCS (1)
Vijay Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka
2023 J jnl
Customizable Adaptive Regularization Techniques for B-Spline Modeling.
CoRR
David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka
2023 J jnl
Customizable adaptive regularization techniques for B-spline modeling.
J. Comput. Sci.
David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka
2023 — conf
Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data.
LDAV
Tom Peterka, David Lenz, Iulian R. Grindeanu, Vijay S. Mahadevan
2022 — conf
Adaptive Regularization of B-Spline Models for Scientific Data.
ICCS (1)
David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka
2022 J jnl
Adaptive Regularization of B-Spline Models for Scientific Data.
CoRR
David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka
2022 J jnl
Parallel Domain Decomposition techniques applied to Multivariate Functional Approximation of discrete data.
CoRR
Vijay S. Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka
2021 J jnl
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking.
IEEE Trans. Vis. Comput. Graph.
Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
2020 J jnl
FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking.
CoRR
Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
2019 — conf
Rational Approximation of Scientific Data.
ICCS (1)
Youssef S. G. Nashed, Tom Peterka, Vijay Mahadevan, Iulian R. Grindeanu
2019 C conf
Scalable, High-Order Continuity Across Block Boundaries of Functional Approximations Computed in Parallel.
CLUSTER
Iulian R. Grindeanu, Tom Peterka, Vijay S. Mahadevan, Youssef S. G. Nashed
2018 — conf
Foundations of Multivariate Functional Approximation for Scientific Data.
LDAV
Tom Peterka, Youssef S. G. Nashed, Iulian R. Grindeanu, Vijay S. Mahadevan, Raine Yeh, Xavier Tricoche
2017 J jnl
Array-based, parallel hierarchical mesh refinement algorithms for unstructured meshes.
Comput. Aided Des.
Navamita Ray, Iulian R. Grindeanu, Xinglin Zhao, Vijay Mahadevan, Xiangmin Jiao
2013 Misc conf
ParNCL and ParGAL: Data-parallel Tools for Postprocessing of Large-scale Earth Science Data.
ICCS
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
2002 J jnl
CAD-Based Shape Optimization Using a Meshfree Method.
Concurr. Eng. Res. Appl.
Iulian R. Grindeanu, Nam Ho Kim, Kung K. Choi, Jiun-Shyan Chen