Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration
Fuente:
arXiv
Guardado en:
| Autores principales: | Wu, Shixun, Pan, Jinwen, Liu, Jinyang, Tian, Jiannan, Qiu, Ziwei, Huang, Jiajun, Zhao, Kai, Liang, Xin, Di, Sheng, Chen, Zizhong, Cappello, Franck |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
cuSZ-$i$: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation
por: Liu, Jinyang, et al.
Publicado: (2023)
por: Liu, Jinyang, et al.
Publicado: (2023)
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation
por: Liu, Jinyang, et al.
Publicado: (2023)
por: Liu, Jinyang, et al.
Publicado: (2023)
ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression
por: Huang, Jiajun, et al.
Publicado: (2025)
por: Huang, Jiajun, et al.
Publicado: (2025)
IPComp: Interpolation Based Progressive Lossy Compression for Scientific Applications
por: Yang, Zhuoxun, et al.
Publicado: (2025)
por: Yang, Zhuoxun, et al.
Publicado: (2025)
A Survey on Error-Bounded Lossy Compression for Scientific Datasets
por: Di, Sheng, et al.
Publicado: (2024)
por: Di, Sheng, et al.
Publicado: (2024)
An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression
por: Huang, Jiajun, et al.
Publicado: (2023)
por: Huang, Jiajun, et al.
Publicado: (2023)
Preserving Clusters in Error-Bounded Lossy Compression of Particle Data
por: Ren, Congrong, et al.
Publicado: (2026)
por: Ren, Congrong, et al.
Publicado: (2026)
QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression
por: Liu, Jinyang, et al.
Publicado: (2024)
por: Liu, Jinyang, et al.
Publicado: (2024)
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications
por: Wilkins, Grant, et al.
Publicado: (2023)
por: Wilkins, Grant, et al.
Publicado: (2023)
HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data
por: Agarwal, Tripti, et al.
Publicado: (2024)
por: Agarwal, Tripti, et al.
Publicado: (2024)
GPZ: GPU-Accelerated Lossy Compressor for Particle Data
por: Li, Ruoyu, et al.
Publicado: (2025)
por: Li, Ruoyu, et al.
Publicado: (2025)
To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O
por: Wilkins, Grant, et al.
Publicado: (2024)
por: Wilkins, Grant, et al.
Publicado: (2024)
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles
por: Zhang, Longtao, et al.
Publicado: (2024)
por: Zhang, Longtao, et al.
Publicado: (2024)
DGRO: Diameter-Guided Ring Optimization for Integrated Research Infrastructure Membership
por: Wu, Shixun, et al.
Publicado: (2024)
por: Wu, Shixun, et al.
Publicado: (2024)
FFCz: Fast Fourier Correction for Spectrum-Preserving Lossy Compression of Scientific Data
por: Ren, Congrong, et al.
Publicado: (2026)
por: Ren, Congrong, et al.
Publicado: (2026)
TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU
por: Wu, Shixun, et al.
Publicado: (2024)
por: Wu, Shixun, et al.
Publicado: (2024)
TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs
por: Wu, Shixun, et al.
Publicado: (2024)
por: Wu, Shixun, et al.
Publicado: (2024)
pMSz: A Distributed Parallel Algorithm for Correcting Extrema and Morse Smale Segmentations in Lossy Compression
por: Li, Yuxiao, et al.
Publicado: (2026)
por: Li, Yuxiao, et al.
Publicado: (2026)
FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression
por: Jia, Wenqi, et al.
Publicado: (2025)
por: Jia, Wenqi, et al.
Publicado: (2025)
DeepCQ: General-Purpose Deep-Surrogate Framework for Lossy Compression Quality Prediction
por: Mumenin, Khondoker Mirazul, et al.
Publicado: (2025)
por: Mumenin, Khondoker Mirazul, et al.
Publicado: (2025)
NeurLZ: An Online Neural Learning-Based Method to Enhance Scientific Lossy Compression
por: Jia, Wenqi, et al.
Publicado: (2024)
por: Jia, Wenqi, et al.
Publicado: (2024)
STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data
por: Wang, Daoce, et al.
Publicado: (2025)
por: Wang, Daoce, et al.
Publicado: (2025)
An Efficient Gradient-Aware Error-Bounded Lossy Compressor for Federated Learning
por: Ye, Zhijing, et al.
Publicado: (2025)
por: Ye, Zhijing, et al.
Publicado: (2025)
Lessons Learned on the Path to Guaranteeing the Error Bound in Lossy Quantizers
por: Fallin, Alex, et al.
Publicado: (2024)
por: Fallin, Alex, et al.
Publicado: (2024)
TopoSZp: Lightweight Topology-Aware Error-controlled Compression for Scientific Data
por: Agarwal, Tripti, et al.
Publicado: (2026)
por: Agarwal, Tripti, et al.
Publicado: (2026)
A Data-Informed Local Subspaces Method for Error-Bounded Lossy Compression of Large-Scale Scientific Datasets
por: Khan, Arshan, et al.
Publicado: (2026)
por: Khan, Arshan, et al.
Publicado: (2026)
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters
por: Huang, Jiajun, et al.
Publicado: (2023)
por: Huang, Jiajun, et al.
Publicado: (2023)
MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors
por: Li, Yuxiao, et al.
Publicado: (2024)
por: Li, Yuxiao, et al.
Publicado: (2024)
FT K-means: A High-Performance K-means on GPU with Fault Tolerance
por: Wu, Shixun, et al.
Publicado: (2024)
por: Wu, Shixun, et al.
Publicado: (2024)
Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation
por: Jiao, Pu, et al.
Publicado: (2026)
por: Jiao, Pu, et al.
Publicado: (2026)
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data
por: Jia, Wenqi, et al.
Publicado: (2024)
por: Jia, Wenqi, et al.
Publicado: (2024)
PackKV: Reducing KV Cache Memory Footprint through LLM-Aware Lossy Compression
por: Jiang, Bo, et al.
Publicado: (2025)
por: Jiang, Bo, et al.
Publicado: (2025)
Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications
por: Liu, Youyuan, et al.
Publicado: (2024)
por: Liu, Youyuan, et al.
Publicado: (2024)
Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression
por: Feng, Hao, et al.
Publicado: (2024)
por: Feng, Hao, et al.
Publicado: (2024)
Fast Topology-Aware Lossy Data Compression with Full Preservation of Critical Points and Local Order
por: Fallin, Alex, et al.
Publicado: (2026)
por: Fallin, Alex, et al.
Publicado: (2026)
EXaCTz: Guaranteed Extremum Graph and Contour Tree Preservation for Distributed- and GPU-Parallel Lossy Compression
por: Li, Yuxiao, et al.
Publicado: (2026)
por: Li, Yuxiao, et al.
Publicado: (2026)
FZModules: A Heterogeneous Computing Framework for Customizable Scientific Data Compression Pipelines
por: Ruiter, Skyler, et al.
Publicado: (2025)
por: Ruiter, Skyler, et al.
Publicado: (2025)
KVComp: A High-Performance, LLM-Aware, Lossy Compression Framework for KV Cache
por: Jiang, Bo, et al.
Publicado: (2025)
por: Jiang, Bo, et al.
Publicado: (2025)
Lossy Data Compression By Adaptive Mesh Coarsening
por: Böing, N., et al.
Publicado: (2024)
por: Böing, N., et al.
Publicado: (2024)
Rate-Distortion Bounds for Heterogeneous Random Fields on Finite Lattices
por: Sinha, Sujata, et al.
Publicado: (2026)
por: Sinha, Sujata, et al.
Publicado: (2026)
Ejemplares similares
-
cuSZ-$i$: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation
por: Liu, Jinyang, et al.
Publicado: (2023) -
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation
por: Liu, Jinyang, et al.
Publicado: (2023) -
ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression
por: Huang, Jiajun, et al.
Publicado: (2025) -
IPComp: Interpolation Based Progressive Lossy Compression for Scientific Applications
por: Yang, Zhuoxun, et al.
Publicado: (2025) -
A Survey on Error-Bounded Lossy Compression for Scientific Datasets
por: Di, Sheng, et al.
Publicado: (2024)