Cover Image

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gong, Qian, Chen, Jieyang, Whitney, Ben, Liang, Xin, Reshniak, Viktor, Banerjee, Tania, Lee, Jaemoon, Rangarajan, Anand, Wan, Lipeng, Vidal, Nicolas, Liu, Qing, Gainaru, Ana, Podhorszki, Norbert, Archibald, Richard, Ranka, Sanjay, Klasky, Scott
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A framework for compressing unstructured scientific data via serialization
by: Reshniak, Viktor, et al.
Published: (2024)

Spatiotemporally adaptive compression for scientific dataset with feature preservation -- a case study on simulation data with extreme climate events analysis
by: Gong, Qian, et al.
Published: (2024)

Lifting MGARD: construction of (pre)wavelets on the interval using polynomial predictors of arbitrary order
by: Reshniak, Viktor, et al.
Published: (2024)

A General Framework for Error-controlled Unstructured Scientific Data Compression
by: Gong, Qian, et al.
Published: (2025)

Machine Learning Techniques for Data Reduction of Climate Applications
by: Li, Xiao, et al.
Published: (2024)

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data
by: Li, Xiao, et al.
Published: (2024)

Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds
by: Li, Xiao, et al.
Published: (2024)

Guaranteed Conditional Diffusion: 3D Block-based Models for Scientific Data Compression
by: Lee, Jaemoon, et al.
Published: (2025)

Machine Learning Techniques for Data Reduction of CFD Applications
by: Lee, Jaemoon, et al.
Published: (2024)

JANUS: Resilient and Adaptive Data Transmission for Enabling Timely and Efficient Cross-Facility Scientific Workflows
by: Esaulov, Vladislav, et al.
Published: (2025)

HPDR: High-Performance Portable Scientific Data Reduction Framework
by: Chen, Jieyang, et al.
Published: (2025)

Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest
by: Wu, Xuan, et al.
Published: (2024)

Optimising the Processing and Storage of Visibilities using lossy compression
by: Dodson, Richard, et al.
Published: (2024)

Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics
by: Ranjan, Yash, et al.
Published: (2025)

Generative Latent Diffusion for Efficient Spatiotemporal Data Reduction
by: Li, Xiao, et al.
Published: (2025)

Enactor: From Traffic Simulators to Surrogate World Models
by: Ranjan, Yash, et al.
Published: (2026)

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections
by: Ranjan, Yash, et al.
Published: (2025)

HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs
by: Li, Yanliang, et al.
Published: (2025)

MTDT: A Multi-Task Deep Learning Digital Twin
by: Yousefzadeh, Nooshin, et al.
Published: (2024)

Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation
by: Yousefzadeh, Nooshin, et al.
Published: (2024)

Deep Investigation of Neutral Gas Origins (DINGO): Options for the Processing and Storage of Radio Astronomy Data for robust Deep Spectral Line Imaging in the SKA-Era using uv-Grids
by: Williamson, Alexander, et al.
Published: (2024)

Video-based Pedestrian and Vehicle Traffic Analysis During Football Games
by: Fleischer, Jacques P., et al.
Published: (2024)

Streaming Data in HPC Workflows Using ADIOS
by: Eisenhauer, Greg, et al.
Published: (2024)

BigSUMO: A Scalable Framework for Big Data Traffic Analytics and Parallel Simulation
by: Sengupta, Rahul, et al.
Published: (2026)

Anisotropic Gaussian Smoothing for Gradient-based Optimization
by: Starnes, Andrew, et al.
Published: (2024)

Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads
by: Yousefzadeh, Nooshin, et al.
Published: (2024)

A multigrid reduction framework for domains with symmetries
by: Alsalti-Baldellou, Àdel, et al.
Published: (2024)

Hierarchical Bayesian approach for adaptive integration of Bragg peaks in time-of-flight neutron scattering data
by: Reshniak, Viktor, et al.
Published: (2024)

Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy
by: Shi, Yichuan, et al.
Published: (2024)

Generating refactored code accurately using reinforcement learning
by: Palit, Indranil, et al.
Published: (2024)

Taxonomy of migration scenarios for Qiskit refactoring using LLMs
by: Suárez, José Manuel, et al.
Published: (2025)

TGDT: A Temporal Graph-based Digital Twin for Urban Traffic Corridors
by: Yousefzadeh, Nooshin, et al.
Published: (2025)

Space-time waveform relaxation multigrid for Navier-Stokes
by: Jackaman, James, et al.
Published: (2024)

spacetelescope/stsynphot_refactor: 1.5.1 Release Notes
by: P. L. Lim, et al.
Published: (2026)

Quantifying the benefits of code hints for refactoring deprecated Java APIs
by: David, Cristina, et al.
Published: (2024)

Generalized pentagram maps via Q-nets and refactorization mappings
by: Wang, Bao
Published: (2024)

Evaluating the impact of code smell refactoring on the energy consumption of Android applications
by: Anwar, Hina, et al.
Published: (2025)

Editorial for the special issue on software refactoring: Application breadth and technical depth
by: Zhenchang Xing
Published: (2024)

On refactorization problems and rational Lax matrices of quadrirational Yang-Baxter maps
by: Kassotakis, Pavlos, et al.
Published: (2025)

Achieving $h$- and $p$-robust monolithic multigrid solvers for the Stokes equations
by: Rafiei, Amin, et al.
Published: (2024)