HiPCastor - Publications

Highlighted recent publications from the group.

CLUSTER '26 MemPower: Efficient Power Management with Fine-grained Memory Analysis and Modeling for HPC Workloads

This paper develops a modeling, analysis, and instrumentation framework to optimize energy for memory-intensive HPC applications. Our novel modeling framework identifies opportune, memory-intensive code regions, uses static binary instrumention to insert software-directed DVFS transitions in unmodified application code, improving performance per Watt for HPC codes.

Nanda Velugoti, Joseph Manzano, Andres Marquez, Kyle Hale, Nathan Tallent

In Proceedings of the 28th IEEE International Conference on Cluster Computing (to appear)

Nature '24 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

In Nature Climate Change, Nov. 2024

eScience '26 EphFlow: Cross-Platform FaaS Workflows with Serverless Ephemeral VM Orchestration

EphFlow extends FaaSr with on-demand, in-DAG provisioning of ephemeral VMs to transparently overcome serverless resource limits, and a language-agnostic container runtime enabling unmodified, cross-platform, multi-language (Python, R, Julia) FaaS workflows across five platforms (GitHub Actions, AWS Lambda, Google Cloud Run, OpenWhisk, SLURM).

Ashish Ramrakhiani, Nolan Cutler, R. Quinn Thomas, Cayelan C. Carey, Austin Delany, Izzy Lerman, Owen Wickman, Renato J. Figueiredo

In Proceedings of the 22nd International IEEE eScience Conference, 2026 (to appear)

Full Publication List

EONIAN: A User-Guided Multi-Agent System for Cross-Provider Data Retrieval and Analysis

eScience '26 Zehua Zhu, Michael J. Elliott, Chia-Chen Kuo, Jose A. B. Fortes, Julia A. Jones, Renato J. Figueiredo

Improving Progressive Compression with Adaptive Interpolation and Coefficient Decomposition

SC '26 Wenbo Li, Xuan Wu, Qian Gong, Pu Jiao, Jieyang Chen, Qing Liu, Norbert Podhorszki, Scott Klasky, and Xin Liang.

MemPower: Efficient Power Management with Fine-grained Memory Analysis and Modeling for HPC Workloads

CLUSTER '26 Nanda Velugoti, Joseph Manzano, Andres Marquez, Kyle Hale, Nathan Tallent

Collab with

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

FSE '26 Ninad Anklesaria, Manish Motwani

QProR: An Efficient Framework for Quantity-of-Interest Based Progressive Retrieval with Guaranteed Error Control

HPDC '26 Wenbo Li, Qian Gong, Xuan Wu, Jieyang Chen, Qing Liu, Xubin He, Norbert Podhorszki, Scott Klasky, and Xin Liang

Collab with

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

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

Collab with

Enabling Homomorphic Analytical Operations on Compressed Scientific Data with Multi-stage Decompression

ICDE '26 Xuan Wu, Sheng Di, Tripti Agarwal, Kai Zhao, Xin Liang, Franck Cappello

Collab with

Time-varying Vector Field Compression with Preserved Critical Point Trajectories

ICDE '26 Mingze Xia, Yuxiao Li, Pu Jiao, Bei Wang, Xin Liang, Hanqi Guo

Collab with

pMSz: A Distributed Parallel Algorithm for Correcting Extrema and Morse Smale Segmentations in Lossy Compression

IPDPS '26 Yuxiao Li, Mingze Xia, Xin Liang, Bei Wang, Robert Underwood, Sheng Di, Hemant Sharma, Dishant Beniwal, Franck Cappello, Hanqi Guo.

Collab with

Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation

IPDPS '26 Pu Jiao, Sheng Di, Jiannan Tian, Mingze Xia, Xuan Wu, Yang Zhang, Xin Liang, Franck Cappello.

Collab with

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

Collab with

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

IPDPS '26 Xincheng Yang and Kyle C. Hale

HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs

SC '25 Yanliang Li, Wenbo Li, Qian Gong, Qing Liu, Norbert Podhorszki, Scott Klasky, Xin Liang, and Jieyang Chen

QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression

VLDB '25 Jinyang Liu, Pu Jiao, Kai Zhao, Xin Liang, Sheng Di, and Franck Cappello

TspSZ: An Efficient Parallel Error-Bounded Lossy Compressor for Topological Skeleton Preservation

ICDE '25 Mingze Xia, Bei Wang, Yuxiao Li, Pu Jiao, Xin Liang, Hanqi Guo.

Enabling Efficient Error-controlled Lossy Compression for Unstructured Scientific Data

IPDPS '25 (Best Paper Award) Xuan Wu, Sheng Di, Congrong Ren, Pu Jiao, Mingze Xia, Cheng Wang, Hanqi Guo, Xin Liang*, Franck Cappello

Improving the Efficiency of Interpolation-Based Scientific Data Compressors with Adaptive Quantization Index Prediction

IPDPS '25 Pu Jiao, Sheng Di, Mingze Xia, Xuan Wu, Jinyang Liu, Xin Liang, Franck Cappello.

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

Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest

SC '24 Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang, and Scott Klasky.

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

EphFlow: Cross-Platform FaaS Workflows with Serverless Ephemeral VM Orchestration

eScience '26 Ashish Ramrakhiani, Nolan Cutler, R. Quinn Thomas, Cayelan C. Carey, Austin Delany, Izzy Lerman, Owen Wickman, Renato J. Figueiredo

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

Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points

ICDE '24 Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, and Hanqi Guo.

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