:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Daoce, Grosset, Pascal, Pulido, Jesus, Athawale, Tushar M., Tian, Jiannan, Zhao, Kai, Lukić, Zarija, Huebl, Axel, Wang, Zhe, Ahrens, James, Tao, Dingwen
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	https://arxiv.org/abs/2407.04267
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows
by: Kilic, Ozgur Ozan, 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)

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows
by: da Silva, Rafael Ferreira, et al.
Published: (2024)

A Terminology for Scientific Workflow Systems
by: Suter, Frédéric, et al.
Published: (2025)

Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows
by: Lehmann, Fabian, et al.
Published: (2024)

SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training
by: Jia, Jinda, et al.
Published: (2024)

WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows
by: Lehmann, Fabian, et al.
Published: (2025)

AMReX and pyAMReX: Looking Beyond ECP
by: Myers, Andrew, et al.
Published: (2024)

Sizey: Memory-Efficient Execution of Scientific Workflow Tasks
by: Bader, Jonathan, et al.
Published: (2024)

A Fault Tolerance Mechanism for Hybrid Scientific Workflows
by: Mulone, Alberto, et al.
Published: (2024)

Low-level I/O Monitoring for Scientific Workflows
by: Witzke, Joel, et al.
Published: (2024)

Ichnos: A Carbon Footprint Estimator for Scientific Workflows
by: West, Kathleen, et al.
Published: (2024)

HyProv: Hybrid Provenance Management for Scientific Workflows
by: Bountris, Vasilis, et al.
Published: (2025)

Exploring the Potential of Carbon-Aware Execution for Scientific Workflows
by: West, Kathleen, et al.
Published: (2025)

Predicting Dynamic Memory Requirements for Scientific Workflow Tasks
by: Bader, Jonathan, et al.
Published: (2023)

Memory-aware Adaptive Scheduling of Scientific Workflows on Heterogeneous Architectures
by: Kulagina, Svetlana, et al.
Published: (2025)

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

Enhancing Energy Efficiency in Scientific Workflows through CFD based PIVAEs
by: Zahir, Ali, et al.
Published: (2026)

A Systematic Evaluation of the Potential of Carbon-Aware Execution for Scientific Workflows
by: West, Kathleen, et al.
Published: (2025)

A Study on Messaging Trade-offs in Data Streaming for Scientific Workflows
by: George, Anjus, et al.
Published: (2025)

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

Scientific Workflow Scheduling in Cloud Considering Cold Start and Variable Pricing Model
by: Sarkar, Suvarthi, et al.
Published: (2025)

Enabling Scientific Workflow Scheduling Research in Non-Uniform Memory Access Architectures
by: Vivas, Aurelio, et al.
Published: (2025)

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

Predicting the Performance of Scientific Workflow Tasks for Cluster Resource Management: An Overview of the State of the Art
by: Bader, Jonathan, et al.
Published: (2025)

Empowering Scientific Workflows with Federated Agents
by: Kamatar, Alok, et al.
Published: (2025)

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters
by: Thamsen, Lauritz, et al.
Published: (2025)

HPDR: High-Performance Portable Scientific Data Reduction Framework
by: Chen, Jieyang, et al.
Published: (2025)

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

ProvDeploy: Provenance-oriented Containerization of High Performance Computing Scientific Workflows
by: Kunstmann, Liliane, et al.
Published: (2024)

The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science
by: Shin, Woong, et al.
Published: (2025)

Paving the Way to Hybrid Quantum-Classical Scientific Workflows
by: Cranganore, Sandeep Suresh, et al.
Published: (2024)

Managing Federated Learning on Decentralized Infrastructures as a Reputation-based Collaborative Workflow
by: Wang, Yuandou, et al.
Published: (2025)