Publications

Our publications provide insight into some of our leading-edge research.

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2024

Pretraining codomain attention neural operators for solving multiphysics pdes
Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel Leibovici, Zongyi Li, Boris Bonev, Colin White, Julius Berner, Raymond A. Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar
Differentiable GPU-Parallelized Task and Motion Planning
William Shen, Caelan Garrett, Nishanth Kumar, Ankit Goyal, Tucker Hermans, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Fabio Ramos
Constructability-driven design of frame structures with state-space search methods
Yijiang Huang, Caelan Garrett, Caitlin Mueller
Conformer without Convolutions
Matthijs Van keirsbilck, Alex Keller
Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic
Andi Gu, Hong-Ye Hu, Di Luo, Taylor Patti, Nicholas C. Rubin, Susanne F. Yelin
Neural operators with localized integral and differential kernels
Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar
Improving Hyperparameter Optimization with Checkpointed Model Weights
Nikhil Mehta, Jonathan Lorraine, Steve Masson, Ramanathan Arunachalam, Zaid Pervaiz Bhat, James Lucas, Arun George Zachariah
Near-term distributed quantum computation using mean-field corrections and auxiliary qubits
Abigail McClain-Gomez, Taylor Patti, Anima Anandkumar, Susanne F. Yelin

2009

Implementing Sparse Matrix-Vector Multiplication on Throughput-Oriented Processors
Nathan Bell, Michael Garland
Solving Computational Problems with GPU Computing
Jonathan Cohen, Michael Garland
Designing Efficient Sorting Algorithms for Manycore GPUs
Nadathur Satish, Mark Harris, Michael Garland
Fast BVH Construction on GPUs
Christian Lauterbach, Michael Garland, Shubhabrata Sengupta, David Luebke, Dinesh Manocha