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High Performance Computing

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2025

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

ICML

Adaptive Algebraic Reuse of Reordering in Cholesky Factorizations with Dynamic Sparsity Patterns

Behrooz Zarebavani, Danny Kaufman, David Levin, Maryam Mehri Dehnavi

SIGGRAPH

Composing Distributed Computations Through Task and Kernel Fusion

Rohan Yadav, Shiv Sundrum, Wonchan Lee, Michael Garland, Michael Bauer, Alex Aiken, Fredrik Kjolstad

Automatic Tracing in Task-Based Runtime Systems

Rohan Yadav, Michael Bauer, David Broman, Michael Garland, Alex Aiken, Fredrik Kjolstad

2018

Dynamic Tracing: Memoization of Task Graphs for Dynamic Task-based Runtimes

Wonchan Lee, Elliott Slaughter, Michael Bauer, Sean Treichler, Todd Warszawski, Michael Garland, Alex Aiken

Exascale Deep Learning for Climate Analytics

Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett Phillips, Ankur Mahesh, Michael Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston

Evaluating and Accelerating High-Fidelity Error Injection for HPC

Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez

Exploiting Idle Resources in a High-Radix Switch for Supplemental Storage

Matthias Blumrich, Ted Jiang, Larry Dennison

Fast, High Precision Ray/Fiber Intersection using Tight, Disjoint Bounding Volumes

Nikolaus Binder, Alex Keller

Massively Parallel Stackless Ray Tracing of Catmull-Clark Subdivision Surfaces

Nikolaus Binder, Alex Keller

Exascale Deep Learning for Climate Analytics

Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett Phillips, Ankur Mahesh, Michael Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston

CRUM: Checkpoint-Restart Support for CUDA's Unified Memory

Rohan Garg, Apoorve Mohan, Michael B. Sullivan, Gene Cooperman

Phantom Ray-Hair Intersector

Alexander Reshetov, David Luebke

Hamartia: A Fast and Accurate Error Injection Framework

Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez

Isometry: A Path-Based Distributed Data Transfer System

Zhihao Jia, Sean Treichler, Galen Shipman, Patrick McCormick, Alex Aiken

Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training

Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Steve Keckler, Yuan Xie

Scalable Collectives for Distributed Asynchronous Many-Task Runtimes

Matthew Whitlock, Hemanth Kolla, Sean Treichler, Philippe Pebay, Janine C. Bennett