STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Daoce, Grosset, Pascal, Pulido, Jesus, Tian, Jiannan, Athawale, Tushar M., Jia, Jinda, Sun, Baixi, Zhang, Boyuan, Jin, Sian, Zhao, Kai, Ahrens, James, Song, Fengguang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization
by: Wang, Daoce, et al.
Published: (2024)
by: Wang, Daoce, et al.
Published: (2024)
FZModules: A Heterogeneous Computing Framework for Customizable Scientific Data Compression Pipelines
by: Ruiter, Skyler, et al.
Published: (2025)
by: Ruiter, Skyler, et al.
Published: (2025)
NeurLZ: An Online Neural Learning-Based Method to Enhance Scientific Lossy Compression
by: Jia, Wenqi, et al.
Published: (2024)
by: Jia, Wenqi, et al.
Published: (2024)
A Survey on Error-Bounded Lossy Compression for Scientific Datasets
by: Di, Sheng, et al.
Published: (2024)
by: Di, Sheng, et al.
Published: (2024)
cuSZ-$i$: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation
by: Liu, Jinyang, et al.
Published: (2023)
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)
by: Jia, Wenqi, et al.
Published: (2025)
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles
by: Zhang, Longtao, et al.
Published: (2024)
by: Zhang, Longtao, et al.
Published: (2024)
FastCache: Optimizing Multimodal LLM Serving through Lightweight KV-Cache Compression Framework
by: Zhu, Jianian, et al.
Published: (2025)
by: Zhu, Jianian, et al.
Published: (2025)
Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration
by: Wu, Shixun, et al.
Published: (2025)
by: Wu, Shixun, et al.
Published: (2025)
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data
by: Jia, Wenqi, et al.
Published: (2024)
by: Jia, Wenqi, et al.
Published: (2024)
IPComp: Interpolation Based Progressive Lossy Compression for Scientific Applications
by: Yang, Zhuoxun, et al.
Published: (2025)
by: Yang, Zhuoxun, et al.
Published: (2025)
$2B$ or Not $2B$: A Tale of Three Algorithms for Streaming: Covariance Estimation after Welford and Chan-Golub-LeVeque
by: Reichel, Felix
Published: (2026)
by: Reichel, Felix
Published: (2026)
KVComp: A High-Performance, LLM-Aware, Lossy Compression Framework for KV Cache
by: Jiang, Bo, et al.
Published: (2025)
by: Jiang, Bo, et al.
Published: (2025)
Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications
by: Liu, Youyuan, et al.
Published: (2024)
by: Liu, Youyuan, et al.
Published: (2024)
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training
by: Jia, Jinda, et al.
Published: (2024)
by: Jia, Jinda, 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)
by: Liu, Jinyang, et al.
Published: (2023)
Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression
by: Feng, Hao, et al.
Published: (2024)
by: Feng, Hao, et al.
Published: (2024)
PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework with Correlated Differential Privacy
by: Zhang, Xianzhi, et al.
Published: (2024)
by: Zhang, Xianzhi, et al.
Published: (2024)
EdgeVision: Towards Collaborative Video Analytics on Distributed Edges for Performance Maximization
by: Gao, Guanyu, et al.
Published: (2022)
by: Gao, Guanyu, et al.
Published: (2022)
Steganography -- coding and intercepting the information from encoded pictures in the absence of any initial information
by: Kwiatkowska, Monika, et al.
Published: (2014)
by: Kwiatkowska, Monika, et al.
Published: (2014)
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation
by: Golden, Alicia, et al.
Published: (2023)
by: Golden, Alicia, et al.
Published: (2023)
To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O
by: Wilkins, Grant, et al.
Published: (2024)
by: Wilkins, Grant, et al.
Published: (2024)
PackKV: Reducing KV Cache Memory Footprint through LLM-Aware Lossy Compression
by: Jiang, Bo, et al.
Published: (2025)
by: Jiang, Bo, et al.
Published: (2025)
GPZ: GPU-Accelerated Lossy Compressor for Particle Data
by: Li, Ruoyu, et al.
Published: (2025)
by: Li, Ruoyu, et al.
Published: (2025)
HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data
by: Agarwal, Tripti, et al.
Published: (2024)
by: Agarwal, Tripti, et al.
Published: (2024)
Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework
by: Zhang, Boyuan, et al.
Published: (2024)
by: Zhang, Boyuan, et al.
Published: (2024)
ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression
by: Huang, Jiajun, et al.
Published: (2025)
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)
by: Huang, Jiajun, et al.
Published: (2023)
Stimpack: An Adaptive Rendering Optimization System for Scalable Cloud Gaming
by: Heo, Jin, et al.
Published: (2024)
by: Heo, Jin, et al.
Published: (2024)
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications
by: Wilkins, Grant, et al.
Published: (2023)
by: Wilkins, Grant, et al.
Published: (2023)
FFCz: Fast Fourier Correction for Spectrum-Preserving Lossy Compression of Scientific Data
by: Ren, Congrong, et al.
Published: (2026)
by: Ren, Congrong, et al.
Published: (2026)
Fast Topology-Aware Lossy Data Compression with Full Preservation of Critical Points and Local Order
by: Fallin, Alex, et al.
Published: (2026)
by: Fallin, Alex, et al.
Published: (2026)
A Data-Informed Local Subspaces Method for Error-Bounded Lossy Compression of Large-Scale Scientific Datasets
by: Khan, Arshan, et al.
Published: (2026)
by: Khan, Arshan, 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)
by: Li, Yuxiao, et al.
Published: (2026)
pMSz: A Distributed Parallel Algorithm for Correcting Extrema and Morse Smale Segmentations in Lossy Compression
by: Li, Yuxiao, et al.
Published: (2026)
by: Li, Yuxiao, et al.
Published: (2026)
Towards Real-Time Neural Volumetric Rendering on Mobile Devices: A Measurement Study
by: Wang, Zhe, et al.
Published: (2024)
by: Wang, Zhe, et al.
Published: (2024)
AFLL: Real-time Load Stabilization for MMO Game Servers Based on Circular Causality Learning
by: Kang, Shinsuk, et al.
Published: (2026)
by: Kang, Shinsuk, et al.
Published: (2026)
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis
by: Wu, Zhuojia, et al.
Published: (2024)
by: Wu, Zhuojia, et al.
Published: (2024)
DeepCQ: General-Purpose Deep-Surrogate Framework for Lossy Compression Quality Prediction
by: Mumenin, Khondoker Mirazul, et al.
Published: (2025)
by: Mumenin, Khondoker Mirazul, et al.
Published: (2025)
Preserving Clusters in Error-Bounded Lossy Compression of Particle Data
by: Ren, Congrong, et al.
Published: (2026)
by: Ren, Congrong, et al.
Published: (2026)
Similar Items
-
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization
by: Wang, Daoce, et al.
Published: (2024) -
FZModules: A Heterogeneous Computing Framework for Customizable Scientific Data Compression Pipelines
by: Ruiter, Skyler, et al.
Published: (2025) -
NeurLZ: An Online Neural Learning-Based Method to Enhance Scientific Lossy Compression
by: Jia, Wenqi, et al.
Published: (2024) -
A Survey on Error-Bounded Lossy Compression for Scientific Datasets
by: Di, Sheng, et al.
Published: (2024) -
cuSZ-$i$: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation
by: Liu, Jinyang, et al.
Published: (2023)