Cover Image

FFCz: Fast Fourier Correction for Spectrum-Preserving Lossy Compression of Scientific Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ren, Congrong, Underwood, Robert, Di, Sheng, Kutay, Emrecan, Lukic, Zarija, Yener, Aylin, Cappello, Franck, Guo, Hanqi
Format:	Preprint
Published:	2026
Subjects:	Distributed, Parallel, and Cluster Computing Instrumentation and Methods for Astrophysics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

DeepCQ: General-Purpose Deep-Surrogate Framework for Lossy Compression Quality Prediction
by: Mumenin, Khondoker Mirazul, et al.
Published: (2025)

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

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

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

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

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

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

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

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

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

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

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

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

QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression
by: Liu, Jinyang, et al.
Published: (2024)

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

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

TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU
by: Wu, Shixun, et al.
Published: (2024)

Fast Topology-Aware Lossy Data Compression with Full Preservation of Critical Points and Local Order
by: Fallin, Alex, et al.
Published: (2026)

TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs
by: Wu, Shixun, et al.
Published: (2024)

High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation
by: Liu, Jinyang, et al.
Published: (2023)

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

Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation
by: Jiao, Pu, et al.
Published: (2026)

A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization
by: Wang, Daoce, 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)

DGRO: Diameter-Guided Ring Optimization for Integrated Research Infrastructure Membership
by: Wu, Shixun, et al.
Published: (2024)

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

Rate-Distortion Bounds for Heterogeneous Random Fields on Finite Lattices
by: Sinha, Sujata, et al.
Published: (2026)

DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models
by: Maurya, Avinash, et al.
Published: (2024)

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

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

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

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters
by: Huang, Jiajun, et al.
Published: (2023)

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

SPARe: Stacked Parallelism with Adaptive Reordering for Fault-Tolerant LLM Pretraining Systems with 100k+ GPUs
by: Lee, Jin, et al.
Published: (2026)

Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers
by: Maurya, Avinash, et al.
Published: (2024)

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

Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications
by: Liu, Youyuan, et al.
Published: (2024)

DataStates-LLM: Scalable Checkpointing for Transformer Models Using Composable State Providers
by: Maurya, Avinash, et al.
Published: (2026)

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