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High Performance Computing

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2025

Augmenting Simulated Noisy Quantum Data Collection by Orders of Magnitude Using Pre-Trajectory Sampling with Batched Execution

Taylor Patti, Thien Nguyen, Justin Lietz, Alex McCaskey, Brucek Khailany

Huge ensembles–Part 1: Design of ensemble weather forecasts using spherical Fourier neural operators

Ankur Mahesh, William D. Collins, Boris Bonev, Noah Brenowitz, Yair Cohen, Joshua Elms, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis O'Brian, Mike Pritchard, David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard

Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators

Ankur Mahesh, William D. Collins, Boris Bonev, Noah Brenowitz, Yair Cohen, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis O'Brian, Mike Pritchard, David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Boris Bonev, Thorsten Kurth, Ankur Mahesh, Mauro Bisson, Jean Kossaifi, Karthik Kashinath, Anima Anandkumar, William D. Collins, Mike Pritchard, Alex Keller

Task-Based Tensor Computations on Modern GPUs

Rohan Yadav, Michael Garland, Alex Aiken, Michael Bauer

PLDI

Beyond the Buzz: A Pragmatic Take on Inference Disaggregation

Tiyasa Mitra, Ritika Borkar, Nidhi Bhatia, Ramon Matas, Shivam Raj, Dheevatsa Mudigere, Ritchie Zhao, Maximilian Golub, Arpan Dutta, Sailaja Madduri, Dharmesh Jani, Brian Pharris, Bita Darvish Rouhani

SLIM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression

Mohammad Mozaffari , Amir Yazdanbakhsh, Maryam Mehri Dehnavi