Cover Image

FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jia, Wenqi, Huang, Ying, Xu, Jian, Hu, Zhewen, Jin, Sian, Tian, Jiannan, Ji, Yuede, Yin, Miao
Format:	Preprint
Published:	2025
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

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

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

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

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

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

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)

FZModules: A Heterogeneous Computing Framework for Customizable Scientific Data Compression Pipelines
by: Ruiter, Skyler, et al.
Published: (2025)

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

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

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

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

Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression
by: Feng, Hao, et al.
Published: (2024)

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

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

Bingo: Radix-based Bias Factorization for Random Walk on Dynamic Graphs
by: Wang, Pinhuan, et al.
Published: (2025)

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

Mapping Gemma3 onto an Edge Dataflow Architecture
by: Du, Shouyu, et al.
Published: (2026)

Caching Aided Multi-Tenant Serverless Computing
by: Qiao, Chu, 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)

HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data
by: Agarwal, Tripti, 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)

DEEP: Edge-based Dataflow Processing with Hybrid Docker Hub and Regional Registries
by: Mehran, Narges, et al.
Published: (2025)

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

Learned Cost Model for Placement on Reconfigurable Dataflow Hardware
by: Guha, Etash, et al.
Published: (2025)

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

Democratizing Scalable Cloud Applications: Transactional Stateful Functions on Streaming Dataflows
by: Psarakis, Kyriakos
Published: (2025)

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

Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing
by: Pan, Haochen, 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)

EXaCTz: Guaranteed Extremum Graph and Contour Tree Preservation for Distributed- and GPU-Parallel Lossy Compression
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)

Exploration of Energy and Throughput Tradeoffs for Dataflow Networks
by: Karim, Abrarul, et al.
Published: (2026)

DGNNFlow: A Streaming Dataflow Architecture for Real-Time Edge-based Dynamic GNN Inference in HL-LHC Trigger Systems
by: Maharaj, Davendra, et al.
Published: (2026)

A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization
by: Wang, Daoce, et al.
Published: (2024)

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

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

The Renoir Dataflow Platform: Efficient Data Processing without Complexity
by: De Martini, Luca, et al.
Published: (2023)