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Navjot Kukreja
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2020 – today
- 2024
- [c8]João Speglich, Navjot Kukreja, George Bisbas
, Átila Saraiva, Jan Hückelheim, Fabio Luporini, John Washbourne:
Optimizing Forward Wavefield Storage Leveraging High-Speed Storage Media. IPDPS (Workshops) 2024: 431-438 - 2023
- [j3]Jialin Wang
LVDIF: a framework for real-time interaction with large volume data. Vis. Comput. 39(8): 3373-3386 (2023) - 2020
- [j2]Fabio Luporini
Architecture and Performance of Devito, a System for Automated Stencil Computation. ACM Trans. Math. Softw. 46(1): 6:1-6:28 (2020) - [i13]Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, John Washbourne, Paul H. J. Kelly, Gerard J. Gorman:
Lossy Checkpoint Compression in Full Waveform Inversion. CoRR abs/2009.12623 (2020)
2010 – 2019
- 2019
- [c7]Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Paul D. Hovland, Gerard Gorman:
Combining Checkpointing and Data Compression to Accelerate Adjoint-Based Optimization Problems. Euro-Par 2019: 87-100 - [c6]Jan Hückelheim, Navjot Kukreja, Sri Hari Krishna Narayanan
Automatic Differentiation for Adjoint Stencil Loops. ICPP 2019: 83:1-83:10 - [c5]Navjot Kukreja, Alena Shilova, Olivier Beaumont
Training on the Edge: The why and the how. IPDPS Workshops 2019: 899-903 - [i12]Navjot Kukreja, Alena Shilova, Olivier Beaumont, Jan Hückelheim, Nicola J. Ferrier, Paul D. Hovland, Gerard Gorman:
Training on the Edge: The why and the how. CoRR abs/1903.03051 (2019) - [i11]Oscar F. Mojica, Navjot Kukreja:
Towards automatically building starting models for full-waveform inversion using global optimization methods: A PSO approach via DEAP + Devito. CoRR abs/1905.12795 (2019) - [i10]Jan Hückelheim, Navjot Kukreja, Sri Hari Krishna Narayanan, Fabio Luporini, Gerard Gorman, Paul D. Hovland:
Automatic Differentiation for Adjoint Stencil Loops. CoRR abs/1907.02818 (2019) - 2018
- [i9]Navjot Kukreja, Jan Hückelheim, Michael Lange, Mathias Louboutin, Andrea Walther, Simon W. Funke, Gerard Gorman:
High-level python abstractions for optimal checkpointing in inversion problems. CoRR abs/1802.02474 (2018) - [i8]Navjot Kukreja, Jan Hückelheim, Gerard J. Gorman:
Backpropagation for long sequences: beyond memory constraints with constant overheads. CoRR abs/1806.01117 (2018) - [i7]Fabio Luporini, Michael Lange, Mathias Louboutin, Navjot Kukreja, Jan Hückelheim, Charles Yount, Philipp A. Witte, Paul H. J. Kelly, Gerard J. Gorman, Felix J. Herrmann:
Architecture and performance of Devito, a system for automated stencil computation. CoRR abs/1807.03032 (2018) - [i6]Mathias Louboutin, Michael Lange, Fabio Luporini, Navjot Kukreja, Philipp A. Witte, Felix J. Herrmann, Paulius Velesko, Gerard J. Gorman:
Devito: an embedded domain-specific language for finite differences and geophysical exploration. CoRR abs/1808.01995 (2018) - [i5]Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Kaiyuan Hou, Fabio Luporini, Paul D. Hovland, Gerard Gorman:
Combining checkpointing and data compression for large scale seismic inversion. CoRR abs/1810.05268 (2018) - 2017
- [j1]Mathias Louboutin
Performance prediction of finite-difference solvers for different computer architectures. Comput. Geosci. 105: 148-157 (2017) - [c4]Jan Hückelheim
Towards Self-Verification in Finite Difference Code Generation. CORRECTNESS@SC 2017: 42-49 - [c3]Michael Lange, Navjot Kukreja, Fabio Luporini, Mathias Louboutin, Charles Yount, Jan Hückelheim, Gerard J. Gorman:
Optimised finite difference computation from symbolic equations. SciPy 2017: 89-97 - [i4]Michael Lange, Navjot Kukreja, Fabio Luporini, Mathias Louboutin, Charles Yount, Jan Hückelheim, Gerard J. Gorman:
Optimised finite difference computation from symbolic equations. CoRR abs/1707.03776 (2017) - 2016
- [c2]Navjot Kukreja, Mathias Louboutin
Devito: Automated Fast Finite Difference Computation. WOLFHPC@SC 2016: 11-19 - [c1]Michael Lange, Navjot Kukreja, Mathias Louboutin
Devito: Towards a Generic Finite Difference DSL Using Symbolic Python. PyHPC@SC 2016: 67-75 - [i3]Mathias Louboutin, Michael Lange, Felix J. Herrmann, Navjot Kukreja, Gerard Gorman:
Performance prediction of finite-difference solvers for different computer architectures. CoRR abs/1608.03984 (2016) - [i2]Navjot Kukreja, Mathias Louboutin, Felippe Vieira, Fabio Luporini, Michael Lange, Gerard Gorman:
Devito: automated fast finite difference computation. CoRR abs/1608.08658 (2016) - [i1]Michael Lange, Navjot Kukreja, Mathias Louboutin, Fabio Luporini, Felippe Vieira, Vincenzo Pandolfo, Paulius Velesko, Paulius Kazakas, Gerard Gorman:
Devito: Towards a generic Finite Difference DSL using Symbolic Python. CoRR abs/1609.03361 (2016)
Coauthor Index
aka: Gerard J. Gorman
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