HiPCastor - Publications

Highlighted recent publications from the group.

Near-term Ecological Forecasting for Climate Change Action

Ecological forecasts can be used to predict changes in ecosystems and subsequent impacts on communities. In addition to long-term projections, there is an important need for forecasts in shorter-term decision-making time periods of weeks and months. Scientists at the Ecological Forecasting Initiative are working to advance the field through a process that enables them to continually update model predictions with observed data in order to improve our ability to foresee what may happen in the future.

Michael Dietze, Ethan P. White, Antoinette Abeyta, Carl Boettiger, Nievita Bueno Watts, Cayelan C. Carey, Rebecca Chaplin-Kramer, Ryan E. Emanuel, S. K. Morgan Ernest, Renato J. Figueiredo, Michael D. Gerst, Leah R. Johnson, Melissa A. Kenney, Jason S. McLachlan, Ioannis Ch. Paschalidis, Jody A. Peters, Christine R. Rollinson, Juniper Simonis, Kira Sullivan-Wiley, R. Quinn Thomas, Glenda M. Wardle, Alyssa M. Willson & Jacob Zwart

Nature '24

In Nature Climate Change, Nov. 2024

TrackFM: Far-out Compiler Support for a Far Memory World

This paper introduces the compiler-based approach to far memory. Prior approaches leverage either the OS kernel’s paging subsystem or a library in userspace. The latter requires code changes, and the former introduces I/O overheads. We present the first approach that uses the compiler for automatic far memory.

Brian R. Tauro, Brian Suchy, Simone Campanoni, Peter Dinda, Kyle C. Hale

ASPLOS '24

In Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Vol. 1

Full Publication List

Energy-Aware Test Prioritization for High-Performance Computing: A Multi-Objective Approach

FSE '26 Ninad Anklesaria, Manish Motwani

FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model Serving

ICS '26 Shouwei Gao, Junqi Yin, Feiyi Wang, Wenqian Dong

LUMOS: Democratizing SciML Workflows with L0-Regularized Learning for Unified Feature and Parameter Adaptation

IPDPS '26 Shouwei Gao, Xu Zheng, Dongsheng Luo, Di Sheng, Wenqian Dong

Shipyard: A Multi-Leader Consensus Protocol with Auto-Balanced Leadership of the Sharded Keyspace

IPDPS '26 Xincheng Yang and Kyle C. Hale

Framework for tracking metadata, lineage and model provenance in hybrid simulation-AI HPC exascale workflows

CUG '25 Martin Foltin, Andrew Shao, Rishabh Sharma, Shreyas Kulkarni, Annmary Justine Koomthanam, Aalap Tripathy, Cong Xu, Wenqian Dong, Suparna Bhattacharya, Brian Sammuli, Paolo Faraboschi

CoPPar Tree: Fast and Composable Consistency at Global Scale

ISPDC '25 Xincheng Yang and Kyle C. Hale

Near-term Ecological Forecasting for Climate Change Action

Nature '24 Michael Dietze, Ethan P. White, Antoinette Abeyta, Carl Boettiger, Nievita Bueno Watts, Cayelan C. Carey, Rebecca Chaplin-Kramer, Ryan E. Emanuel, S. K. Morgan Ernest, Renato J. Figueiredo, Michael D. Gerst, Leah R. Johnson, Melissa A. Kenney, Jason S. McLachlan, Ioannis Ch. Paschalidis, Jody A. Peters, Christine R. Rollinson, Juniper Simonis, Kira Sullivan-Wiley, R. Quinn Thomas, Glenda M. Wardle, Alyssa M. Willson & Jacob Zwart

TimeX++: Learning Time-Series Explanations with Information Bottleneck

ICML '24 Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo

FaaSr: Cross-Platform Function-as-a-Service Serverless Scientific Workflows in R

eScience '24 Sungjae Park, R. Quinn Thomas, Cayelan C. Carey, Austin D. Delany, Yun-Jung Ku, Mary E. Lofton, Renato J. Figueiredo

TrackFM: Far-out Compiler Support for a Far Memory World

ASPLOS '24 Brian R. Tauro, Brian Suchy, Simone Campanoni, Peter Dinda, Kyle C. Hale

EdgeVPN: Self-organizing layer-2 virtual edge networks

FGCS 140(2024) K. Subratie, S. Aditya, R. Figueiredo

PolyNet: Cost- and Performance-aware Multi-criteria Link Selection for Software-defined Edge-to-cloud Overlay Virtual Networks

NetSoft '24 Vahid Daneshmand, Kensworth Subratie, Renato Figueiredo

Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate Models for HPC Applications

HPDC '23 Wenqian Dong, Gokcen Kestor, Dong Li

Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning

ASPLOS '23 Shuangyan Yang, Mingjia Zhang, Wenqian Dong, Dong Li

Bolt: Fast Inference for Random Forests

Middleware '22 Eduardo Romero, Christopher Stewart, Angela Li, Kyle C. Hale, Nathaniel Morris

Modeling Speedup in Multi-OS Environments

TPDS 33(6) '22 Brian R. Tauro, Conghao Liu, Kyle C. Hale

Isolating Functions at the Hardware Limit with Virtines

EuroSys '22 Nicholas C. Wanninger, Joshua J. Bowden, Kirtankumar Shetty, Ayush Garg, and Kyle C. Hale

Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation

VLDB '21 Jie Liu, Wenqian Dong, Qingqing Zhou, Dong Li

MD-HM: Memoization-based Molecular Dynamics Simulations on Big Memory System

ICS '21 Zhen Xie, Wenqian Dong, Jie Liu, Ivy Peng, Yanbao Ma, Dong Li

Tahoe: Tree Structure-Aware High Performance Inference Engine for Decision Tree Ensemble on GPU

EuroSys '21 Zhen Xie, Wenqian Dong, Jiawen Liu, Hang Liu, Dong Li

Edge-to-cloud Virtualized Cyberinfrastructure for Near Real-time Water Quality Forecasting in Lakes and Reservoirs

eScience '21 V. Daneshmand, A. Breef-Pilz, C. Carey, Y. Jin, Y-J. Ku, K. Subratie, R. Q. Thomas, R. Figueiredo

Task Parallel Assembly Language for Uncompromising Parallelism

PLDI '21 Mike Rainey, Ryan R. Newton, Kyle C. Hale, Nikos Hardavellas, Simone Campanoni, Peter Dinda, Umut A. Acar

Paths to OpenMP in the Kernel

SC '21 Jiacheng Ma, Wenyi Wang, Aaron Nelson, Michael Cuevas, Brian Homerding, Conghao Liu, Zhen Huang, Simone Campanoni, Kyle C. Hale, and Peter Dinda

Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation

SC '20 Wenqian Dong, Zhen Xie, Gokcen Kestor, Dong Li

Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation

SC '19 Wenqian Dong, Jie Liu, Zhen Xie, Dong Li