Danesh K. Tafti

According to our database, Danesh K. Tafti authored at least 18 papers between 1995 and 2021.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2021

PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields.

Nikhil Muralidhar, Jie Bu, Ze Cao, Neil Raj, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems.

Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne

Big Data, 2020

PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly.

Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

2019

Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids.

Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne

CoRR, 2019

2015

Recycling Krylov subspaces for CFD applications and a new hybrid recycling solver.

Amit Amritkar, Eric de Sturler, Katarzyna Swirydowicz, Danesh K. Tafti, Kapil Ahuja

J. Comput. Phys., 2015

Recycling Krylov subspaces for CFD applications.

Amit Amritkar, Eric de Sturler, Katarzyna Swirydowicz, Danesh K. Tafti, Kapil Ahuja

CoRR, 2015

2014

A new approach for conjugate heat transfer problems using immersed boundary method for curvilinear grid based solvers.

Krishnamurthy Nagendra, Danesh K. Tafti, Kamal Viswanath

J. Comput. Phys., 2014

Efficient parallel CFD-DEM simulations using OpenMP.

Amit Amritkar, Surya Deb, Danesh K. Tafti

J. Comput. Phys., 2014

2012

OpenMP parallelism for fluid and fluid-particulate systems.

Amit Amritkar, Danesh K. Tafti, Rui Liu, Rick Kufrin, Barbara M. Chapman

Parallel Comput., 2012

Implementing modular adaptation of scientific software.

Pilsung Kang, Naresh K. C. Selvarasu, Naren Ramakrishnan, Calvin J. Ribbens, Danesh K. Tafti, Yang Cao, Srinidhi Varadarajan

J. Comput. Sci., 2012

2010

Dynamic tuning of algorithmic parameters of parallel scientific codes.

Pilsung Kang, Naresh K. C. Selvarasu, Naren Ramakrishnan, Calvin J. Ribbens, Danesh K. Tafti, Srinidhi Varadarajan

Proceedings of the International Conference on Computational Science, 2010

2009

Modular, Fine-Grained Adaptation of Parallel Programs.

Pilsung Kang, Naresh K. C. Selvarasu, Naren Ramakrishnan, Calvin J. Ribbens, Danesh K. Tafti, Srinidhi Varadarajan

Proceedings of the Computational Science, 2009

2007

Towards an Implementation of the OpenMP Collector API.

Van Bui, Oscar R. Hernandez, Barbara M. Chapman, Rick Kufrin, Danesh K. Tafti, Pradeep Gopalkrishnan

Proceedings of the Parallel Computing: Architectures, 2007

The Adaptive Code Kitchen: Flexible Tools for Dynamic Application Composition.

Pilsung Kang, Mike Heffner, Joy Mukherjee, Naren Ramakrishnan, Srinidhi Varadarajan, Calvin J. Ribbens, Danesh K. Tafti

Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

2004

A Parallel Adaptive Mesh Refinement Algorithm for Solving Nonlinear Dynamical Systems.

Weicheng Huang, Danesh K. Tafti

Int. J. High Perform. Comput. Appl., 2004

2001

VisBench: A Framework for Remote Data Visualization and Analysis.

Randy W. Heiland, M. Pauline Baker, Danesh K. Tafti

Proceedings of the Computational Science - ICCS 2001, 2001

1999

Performance Enhancement on Microprocessors with Hierarchical Memory Systems for Solving Large Sparse Linear Systems.

G. Wang, Danesh K. Tafti

Int. J. High Perform. Comput. Appl., 1999

1995

High-Order Finite Difference Formulations for the Incompressible Navier-Stokes Equations on the CM-5.

Danesh K. Tafti

Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, 1995