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ORCIDDanesh K. Tafti
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- affiliation: Virginia Tech, Blacksburg VA, USA
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2020 – today
- 2021
[c8]Nikhil Muralidhar, Jie Bu, Ze Cao, Neil Raj, Naren Ramakrishnan
, Danesh K. Tafti, Anuj Karpatne:
PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields. ICDM 2021: 1246-1251- 2020
- [j8]Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne:
Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems. Big Data 8(5): 431-449 (2020) - [c7]Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne:
PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly. SDM 2020: 559-567
2010 – 2019
- 2019
- [i2]Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne:
Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids. CoRR abs/1911.04240 (2019) - 2015
- [j7]Amit Amritkar, Eric de Sturler, Katarzyna Swirydowicz, Danesh K. Tafti, Kapil Ahuja:
Recycling Krylov subspaces for CFD applications and a new hybrid recycling solver. J. Comput. Phys. 303: 222-237 (2015) - [i1]Amit Amritkar, Eric de Sturler, Katarzyna Swirydowicz, Danesh K. Tafti, Kapil Ahuja:
Recycling Krylov subspaces for CFD applications. CoRR abs/1501.03358 (2015) - 2014
- [j6]Amit Amritkar, Surya Deb, Danesh K. Tafti:
Efficient parallel CFD-DEM simulations using OpenMP. J. Comput. Phys. 256: 501-519 (2014) - [j5]Krishnamurthy Nagendra, Danesh K. Tafti, Kamal Viswanath:
A new approach for conjugate heat transfer problems using immersed boundary method for curvilinear grid based solvers. J. Comput. Phys. 267: 225-246 (2014) - 2012
- [j4]Pilsung Kang, Naresh K. C. Selvarasu, Naren Ramakrishnan, Calvin J. Ribbens, Danesh K. Tafti, Yang Cao, Srinidhi Varadarajan:
Implementing modular adaptation of scientific software. J. Comput. Sci. 3(1-2): 28-45 (2012) - [j3]Amit Amritkar, Danesh K. Tafti, Rui Liu, Rick Kufrin, Barbara M. Chapman:
OpenMP parallelism for fluid and fluid-particulate systems. Parallel Comput. 38(9): 501-517 (2012) - 2010
- [c6]Pilsung Kang, Naresh K. C. Selvarasu, Naren Ramakrishnan, Calvin J. Ribbens, Danesh K. Tafti, Srinidhi Varadarajan:
Dynamic tuning of algorithmic parameters of parallel scientific codes. ICCS 2010: 145-153
2000 – 2009
- 2009
- [c5]Pilsung Kang, Naresh K. C. Selvarasu, Naren Ramakrishnan, Calvin J. Ribbens, Danesh K. Tafti, Srinidhi Varadarajan:
Modular, Fine-Grained Adaptation of Parallel Programs. ICCS (1) 2009: 269-279 - 2007
- [c4]Pilsung Kang, Mike Heffner, Joy Mukherjee, Naren Ramakrishnan, Srinidhi Varadarajan, Calvin J. Ribbens, Danesh K. Tafti:
The Adaptive Code Kitchen: Flexible Tools for Dynamic Application Composition. IPDPS 2007: 1-8 - [c3]Van Bui, Oscar R. Hernandez, Barbara M. Chapman, Rick Kufrin, Danesh K. Tafti, Pradeep Gopalkrishnan:
Towards an Implementation of the OpenMP Collector API. PARCO 2007: 573-580 - 2004
- [j2]Weicheng Huang, Danesh K. Tafti:
A Parallel Adaptive Mesh Refinement Algorithm for Solving Nonlinear Dynamical Systems. Int. J. High Perform. Comput. Appl. 18(2): 171-181 (2004) - 2001
- [c2]Randy W. Heiland, M. Pauline Baker, Danesh K. Tafti:
VisBench: A Framework for Remote Data Visualization and Analysis. International Conference on Computational Science (2) 2001: 718-727
1990 – 1999
- 1999
- [j1]G. Wang, Danesh K. Tafti:
Performance Enhancement on Microprocessors with Hierarchical Memory Systems for Solving Large Sparse Linear Systems. Int. J. High Perform. Comput. Appl. 13(1): 63-79 (1999) - 1995
- [c1]Danesh K. Tafti:
High-Order Finite Difference Formulations for the Incompressible Navier-Stokes Equations on the CM-5. PP 1995: 155-160
Coauthor Index
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