Cover Image

Fast Topology-Aware Lossy Data Compression with Full Preservation of Critical Points and Local Order

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fallin, Alex, Gorski, Nathaniel, Agarwal, Tripti, Wang, Bei, Gopalakrishnan, Ganesh, Burtscher, Martin
Format:	Preprint
Published:	2026
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lessons Learned on the Path to Guaranteeing the Error Bound in Lossy Quantizers
by: Fallin, Alex, et al.
Published: (2024)

TopoSZp: Lightweight Topology-Aware Error-controlled Compression for Scientific Data
by: Agarwal, Tripti, et al.
Published: (2026)

HiRace: Accurate and Fast Source-Level Race Checking of GPU Programs
by: Jacobson, John, et al.
Published: (2024)

A General Framework for Augmenting Lossy Compressors with Topological Guarantees
by: Gorski, Nathaniel, et al.
Published: (2025)

HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data
by: Agarwal, Tripti, et al.
Published: (2024)

What Operations can be Performed Directly on Compressed Arrays, and with What Error?
by: Agarwal, Tripti, et al.
Published: (2024)

EXaCTz: Guaranteed Extremum Graph and Contour Tree Preservation for Distributed- and GPU-Parallel Lossy Compression
by: Li, Yuxiao, et al.
Published: (2026)

FFCz: Fast Fourier Correction for Spectrum-Preserving Lossy Compression of Scientific Data
by: Ren, Congrong, et al.
Published: (2026)

SIMT/GPU Data Race Verification using ISCC and Intermediary Code Representations: A Case Study
by: Osterhout, Andrew, et al.
Published: (2025)

Preserving Clusters in Error-Bounded Lossy Compression of Particle Data
by: Ren, Congrong, et al.
Published: (2026)

To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O
by: Wilkins, Grant, et al.
Published: (2024)

Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration
by: Wu, Shixun, et al.
Published: (2025)

FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression
by: Jia, Wenqi, et al.
Published: (2025)

pMSz: A Distributed Parallel Algorithm for Correcting Extrema and Morse Smale Segmentations in Lossy Compression
by: Li, Yuxiao, et al.
Published: (2026)

LCP: Enhancing Scientific Data Management with Lossy Compression for Particles
by: Zhang, Longtao, et al.
Published: (2024)

IPComp: Interpolation Based Progressive Lossy Compression for Scientific Applications
by: Yang, Zhuoxun, et al.
Published: (2025)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets
by: Di, Sheng, et al.
Published: (2024)

ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression
by: Huang, Jiajun, et al.
Published: (2025)

An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression
by: Huang, Jiajun, et al.
Published: (2023)

FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications
by: Wilkins, Grant, et al.
Published: (2023)

Predictive Bayesian Arbitration: A Scalable Noisy-OR Model with Service Criticality Awareness
by: Jangam, Anil, et al.
Published: (2026)

GPZ: GPU-Accelerated Lossy Compressor for Particle Data
by: Li, Ruoyu, et al.
Published: (2025)

A Data-Informed Local Subspaces Method for Error-Bounded Lossy Compression of Large-Scale Scientific Datasets
by: Khan, Arshan, et al.
Published: (2026)

STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data
by: Wang, Daoce, et al.
Published: (2025)

KVComp: A High-Performance, LLM-Aware, Lossy Compression Framework for KV Cache
by: Jiang, Bo, et al.
Published: (2025)

cuSZ-$i$: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation
by: Liu, Jinyang, et al.
Published: (2023)

PackKV: Reducing KV Cache Memory Footprint through LLM-Aware Lossy Compression
by: Jiang, Bo, et al.
Published: (2025)

A GPU accelerated mixed-precision Smoothed Particle Hydrodynamics framework with cell-based relative coordinates
by: Mao, Zirui, et al.
Published: (2023)

GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data
by: Jia, Wenqi, et al.
Published: (2024)

MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors
by: Li, Yuxiao, et al.
Published: (2024)

Floating-Point Data Transformation for Lossless Compression
by: Jamalidinan, Samirasadat, et al.
Published: (2025)

Fast Byzantine Total Order Broadcast
by: Monti, Matteo, et al.
Published: (2024)

FastGraph: Optimized GPU-Enabled Algorithms for Fast Graph Building and Message Passing
by: Agarwal, Aarush, et al.
Published: (2025)

The Topology of Local Computing in Networks
by: Fraigniaud, Pierre, et al.
Published: (2020)

NeurLZ: An Online Neural Learning-Based Method to Enhance Scientific Lossy Compression
by: Jia, Wenqi, et al.
Published: (2024)

Privacy-Preserving and Trustworthy Localization in an IoT Environment
by: Zocca, Guglielmo, et al.
Published: (2024)

Data-Locality-Aware Task Assignment and Scheduling for Distributed Job Executions
by: Zhao, Hailiang, et al.
Published: (2024)

An Efficient Gradient-Aware Error-Bounded Lossy Compressor for Federated Learning
by: Ye, Zhijing, et al.
Published: (2025)

FourierCompress: Layer-Aware Spectral Activation Compression for Efficient and Accurate Collaborative LLM Inference
by: Ma, Jian, et al.
Published: (2025)

Fast Online Digital Twinning on FPGA for Mission Critical Applications
by: Xu, Bin, et al.
Published: (2025)