:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Yuanjian, Luo, Huihao, Han, Zhijun, Hu, Yao, Yang, Yehui, Chard, Kyle, Di, Sheng, Foster, Ian, Wu, Jiesheng
Format:	Preprint
Published:	2024
Subjects:	Information Theory
Online Access:	https://arxiv.org/abs/2404.02163
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Combining Language and Graph Models for Semi-structured Information Extraction on the Web
by: Hong, Zhi, et al.
Published: (2024)

Agentic Discovery: Closing the Loop with Cooperative Agents
by: Pauloski, J. Gregory, et al.
Published: (2025)

SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors
by: Trukhina, Natalia, et al.
Published: (2026)

UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving
by: Li, Yifei, et al.
Published: (2024)

Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning
by: Hudson, Nathaniel, et al.
Published: (2024)

Topology-Aware Knowledge Propagation in Decentralized Learning
by: Sakarvadia, Mansi, et al.
Published: (2025)

Lossy Compression of Scientific Data: Applications Constrains and Requirements
by: Cappello, Franck, et al.
Published: (2025)

WRATH: Workload Resilience Across Task Hierarchies in Task-based Parallel Programming Frameworks
by: Zhou, Sicheng, et al.
Published: (2025)

A Survey on Transformer Compression
by: Tang, Yehui, et al.
Published: (2024)

Empowering Scientific Workflows with Federated Agents
by: Kamatar, Alok, 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)

Accelerating Python Applications with Dask and ProxyStore
by: Pauloski, J. Gregory, et al.
Published: (2024)

Successive Refinement for Lossy Compression of Individual Sequences
by: Merhav, Neri
Published: (2025)

Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments
by: Pruyne, Jim, et al.
Published: (2024)

Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets
by: Underwood, Robert, et al.
Published: (2024)

Addressing Reproducibility Challenges in HPC with Continuous Integration
by: Hayot-Sasson, Valérie, et al.
Published: (2025)

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

ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression
by: Huang, Jiajun, 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)

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

Employing Artificial Intelligence to Steer Exascale Workflows with Colmena
by: Ward, Logan, et al.
Published: (2024)

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

Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Supercomputers
by: Li, Yijiang, et al.
Published: (2026)

Optimizing Fine-Grained Parallelism Through Dynamic Load Balancing on Multi-Socket Many-Core Systems
by: Wang, Wenyi, et al.
Published: (2025)

TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks
by: Pauloski, J. Gregory, et al.
Published: (2024)

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

Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing
by: Pan, Haochen, et al.
Published: (2024)

An Error-Bounded Lossy Compression Method with Bit-Adaptive Quantization for Particle Data
by: Ren, Congrong, et al.
Published: (2024)

Powerful Lossy Compression for Noisy Images
by: Cai, Shilv, et al.
Published: (2024)

The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators
by: Sakarvadia, Mansi, et al.
Published: (2025)

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

Icicle: Scalable Metadata Indexing and Real-Time Monitoring for HPC File Systems
by: Pan, Haochen, et al.
Published: (2026)

Comprehensive Exploration of Synthetic Data Generation: A Survey
by: Bauer, André, et al.
Published: (2024)

Object Proxy Patterns for Accelerating Distributed Applications
by: Pauloski, J. Gregory, et al.
Published: (2024)

Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models
by: Sakarvadia, Mansi, et al.
Published: (2023)

ZipNN: Lossless Compression for AI Models
by: Hershcovitch, Moshik, et al.
Published: (2024)

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

The Axiomatization and Spectral Completion of a Unified Field Framework
by: Yuanjian, Li
Published: (2025)

Make Lossy Compression Meaningful for Low-Light Images
by: Cai, Shilv, et al.
Published: (2023)

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