Navjot Kukreja

According to our database, Navjot Kukreja authored at least 16 papers between 2016 and 2023.

Collaborative distances:

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

2023

LVDIF: a framework for real-time interaction with large volume data.

Jialin Wang, Nan Xiang, Navjot Kukreja, Lingyun Yu, Hai-Ning Liang

Vis. Comput., August, 2023

2020

Architecture and Performance of Devito, a System for Automated Stencil Computation.

Fabio Luporini, Mathias Louboutin, Michael Lange, Navjot Kukreja, Philipp A. Witte, Jan Hückelheim, Charles Yount, Paul H. J. Kelly, Felix J. Herrmann, Gerard J. Gorman

ACM Trans. Math. Softw., 2020

Lossy Checkpoint Compression in Full Waveform Inversion.

Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, John Washbourne, Paul H. J. Kelly, Gerard J. Gorman

CoRR, 2020

2019

Towards automatically building starting models for full-waveform inversion using global optimization methods: A PSO approach via DEAP + Devito.

Oscar F. Mojica, Navjot Kukreja

CoRR, 2019

Training on the Edge: The why and the how.

Navjot Kukreja, Alena Shilova, Olivier Beaumont, Jan Hückelheim, Nicola J. Ferrier, Paul D. Hovland, Gerard Gorman

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Automatic Differentiation for Adjoint Stencil Loops.

Jan Hückelheim, Navjot Kukreja, Sri Hari Krishna Narayanan, Fabio Luporini, Gerard Gorman, Paul D. Hovland

Proceedings of the 48th International Conference on Parallel Processing, 2019

Combining Checkpointing and Data Compression to Accelerate Adjoint-Based Optimization Problems.

Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Paul D. Hovland, Gerard Gorman

Proceedings of the Euro-Par 2019: Parallel Processing, 2019

2018

Combining checkpointing and data compression for large scale seismic inversion.

Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Kaiyuan Hou, Fabio Luporini, Paul D. Hovland, Gerard Gorman

CoRR, 2018

Devito: an embedded domain-specific language for finite differences and geophysical exploration.

Mathias Louboutin, Michael Lange, Fabio Luporini, Navjot Kukreja, Philipp A. Witte, Felix J. Herrmann, Paulius Velesko, Gerard J. Gorman

CoRR, 2018

Backpropagation for long sequences: beyond memory constraints with constant overheads.

Navjot Kukreja, Jan Hückelheim, Gerard J. Gorman

CoRR, 2018

High-level python abstractions for optimal checkpointing in inversion problems.

Navjot Kukreja, Jan Hückelheim, Michael Lange, Mathias Louboutin, Andrea Walther, Simon W. Funke, Gerard Gorman

CoRR, 2018

2017

Performance prediction of finite-difference solvers for different computer architectures.

Mathias Louboutin, Michael Lange, Felix J. Herrmann, Navjot Kukreja, Gerard Gorman

Comput. Geosci., 2017

Optimised finite difference computation from symbolic equations.

Michael Lange, Navjot Kukreja, Fabio Luporini, Mathias Louboutin, Charles Yount, Jan Hückelheim, Gerard J. Gorman

Proceedings of the 16th Python in Science Conference 2017, 2017

Towards Self-Verification in Finite Difference Code Generation.

Jan Hückelheim, Ziqing Luo, Fabio Luporini, Navjot Kukreja, Michael Lange, Gerard Gorman, Stephen F. Siegel, Matthew B. Dwyer, Paul D. Hovland

Proceedings of the First International Workshop on Software Correctness for HPC Applications, 2017

2016

Devito: Towards a Generic Finite Difference DSL Using Symbolic Python.

Michael Lange, Navjot Kukreja, Mathias Louboutin, Fabio Luporini, Felippe Vieira, Vincenzo Pandolfo, Paulius Velesko, Paulius Kazakas, Gerard Gorman

Proceedings of the 6th Workshop on Python for High-Performance and Scientific Computing, 2016

Devito: Automated Fast Finite Difference Computation.

Navjot Kukreja, Mathias Louboutin, Felippe Vieira, Fabio Luporini, Michael Lange, Gerard Gorman

Proceedings of the Sixth International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing, 2016