Russell J. Hewett

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 12

Top Topics

Top Venues

Comput. Math. Appl.

SIAM J. Sci. Comput.

J. Comput. Phys.

Publications

Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR (2024)
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, Felix J. Herrmann
Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs. Comput. Geosci. 178 (2023)
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, Felix J. Herrmann
Towards Large-Scale Learned Solvers for Parametric PDEs with Model-Parallel Fourier Neural Operators. CoRR (2022)
Philipp A. Witte, Russell J. Hewett, Kumar Saurabh, AmirHossein Sojoodi, Ranveer Chandra
SciAI4Industry - Solving PDEs for industry-scale problems with deep learning. CoRR (2022)
Matthias Taus, Leonardo Zepeda-Núñez, Russell J. Hewett, Laurent Demanet
L-Sweeps: A scalable, parallel preconditioner for the high-frequency Helmholtz equation. J. Comput. Phys. 420 (2020)
Russell J. Hewett, Thomas J. Grady II
A Linear Algebraic Approach to Model Parallelism in Deep Learning. CoRR (2020)
Stuart Mumford, Nabil Freij, Steven Christe, Jack Ireland, Florian Mayer, V. Keith Hughitt, Albert J. Shih, Daniel Ryan, Simon Liedtke, David Pérez-Suárez, Pritish Chakraborty, Vishnunarayan K, Andrew Inglis, Punyaslok Pattnaik, Brigitta M. Sipocz, Rishabh Sharma, Andrew Leonard, David Stansby, Russell J. Hewett, Alex Hamilton, Laura Hayes, Asish Panda, Matt Earnshaw, Nitin Choudhary, Ankit Kumar, Prateek Chanda, Md. Akramul Haque, Michael Kirk, Michael Mueller, Sudarshan Konge, Rajul Srivastava, Yash Jain, Samuel Bennett, Ankit Baruah, Will Barnes, Michael Charlton, Shane A. Maloney, Nicky Chorley, Himanshu, Sanskar Modi, James Mason, Jose Rozo, Larry Manley, Agneet Chatterjee, John Evans, Michael Malocha, Monica G. Bobra, Sourav Ghosh, Dominik Stanczak, Ruben De Visscher, Shresth Verma, Ankit Agrawal, Dumindu Buddhika, Swapnil Sharma, Jongyeob Park, Matt Bates, Dhruv Goel, Garrison Taylor, Goran Cetusic, Jacob, Mateo Inchaurrandieta, Sally Dacie, Sanjeev Dubey, Deepankar Sharma, Erik Bray, Jai Rideout, Serge Zahniy, Tomas Meszaros, Abhigyan Bose, André Chicrala, Ankit, Chloé Guennou, Daniel D'avella, Daniel Williams, Jordan Ballew, Nick Murphy, Priyank Lodha, Thomas Robitaille, Yash Krishan, Andrew Hill, Arthur Eigenbrot, Benjamin Mampaey, Bernhard Wiedemann, Carlos Molina, Duygu Keskek, Ishtyaq Habib, Joseph Letts, Juanjo Bazán, Quinn Arbolante, Reid Gomillion, Yash Kothari, Yash Sharma, Abigail Stevens, Adrian M. Price-Whelan, Ambar Mehrotra, Arseniy Kustov, Brandon Stone, Trung Dang, Emmanuel Arias, Fionnlagh Dover, Freek Verstringe, Gulshan Kumar, Harsh Mathur, Igor Babuschkin, Jaylen Wimbish, Juan Buitrago-Casas, Kalpesh Krishna, Kaustubh Hiware, Manas Mangaonkar, Matthew Mendero, Mickaël Schoentgen, Norbert Gyenge, Ole Streicher, Rajasekhar Mekala, Rishabh Mishra, Shashank Srikanth, Sarthak Jain, Tannmay Yadav, Tessa Wilkinson, Tiago Pereira, Yudhik Agrawal, Jamescalixto, Yasintoda, Sophie Murray
SunPy: A Python package for Solar Physics. J. Open Source Softw. 5 (46) (2020)
Natalie N. Beams, Adrianna Gillman, Russell J. Hewett
A parallel shared-memory implementation of a high-order accurate solution technique for variable coefficient Helmholtz problems. Comput. Math. Appl. 79 (4) (2020)
Matthias Taus, Leonardo Zepeda-Núñez, Russell J. Hewett, Laurent Demanet
L-Sweeps: A scalable, parallel preconditioner for the high-frequency Helmholtz equation. CoRR (2019)
Jesse Chan, Russell J. Hewett, Timothy Warburton
Weight-Adjusted Discontinuous Galerkin Methods: Curvilinear Meshes. SIAM J. Sci. Comput. 39 (6) (2017)
Jesse Chan, Zheng Wang, Russell J. Hewett, Timothy C. Warburton
Reduced storage nodal discontinuous Galerkin methods on semi-structured prismatic meshes. Comput. Math. Appl. 73 (5) (2017)
Jesse Chan, Russell J. Hewett, Timothy Warburton
Weight-Adjusted Discontinuous Galerkin Methods: Wave Propagation in Heterogeneous Media. SIAM J. Sci. Comput. 39 (6) (2017)
Stuart Mumford, David Pérez-Suárez, Steven Christe, Florian Mayer, Russell J. Hewett
SunPy: Python for Solar Physicists. SciPy (2013)
Russell J. Hewett, Ian Jermyn, Michael T. Heath, Farzad Kamalabadi
A Phase Field Method for Tomographic Reconstruction from Limited Data. BMVC (2012)
Russell J. Hewett, Michael T. Heath, Mark D. Butala, Farzad Kamalabadi
A robust null space method for linear equality constrained state estimation. IEEE Trans. Signal Process. 58 (8) (2010)