Publications | Research

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Algorithms and Numerical Methods

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2023

Compact Neural Graphics Primitives with Learned Hash Probing

Towaki Takikawa, Thomas Müller, Merlin Nimier-David, Alex Evans, Sanja Fidler, Alec Jacobson, Alex Keller

SIGGRAPH

Graph Metanetworks for Processing Diverse Neural Architectures

Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas

ICLR

Graph Neural Networks for Enhanced Decoding of Quantum LDPC Codes

Anqi Gong, Sebastian Cammerer, Joseph M. Renes

Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere

Boris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar

ICML

2012

Preconditioned Block-Iterative Methods on GPUs

Maxim Naumov

Relational Algorithms for Multi-Bulk-Synchronous Processors

Greg Diamos, Haicheng Wu, Ashwin Lele, Jin Wang, Sudhakar Yalamanchili

Efficient Parallel Merge Sort for Fixed and Variable Length Keys

Andrew Davidson, David Tarjan, Michael Garland, John Owens

Policy-based Tuning for Performance Portability and Library Co-optimization

Duane Merrill, Michael Garland, Andrew Grimshaw

Incomplete-LU and Cholesky Factorization in the Preconditioned Iterative Methods on the GPU

Maxim Naumov