Plasma-PEPSC D4.2 Report on Improving Parallel I/O, and Enabling In-Situ and Compression Algorithms in Plasma-PEPSC Codes

This report provides updates on the implementation of parallel I/O and its performance for selected Plasma-PEPSC codes. It dives deeply into several asynchronous and hybrid in-situ techniques for real-time data analysis and discusses lossless and lossy compression and reduced precision arithmetics for data storage, communication, and computation. These innovations aim to optimize data workflows, support large-scale simulations, and mitigate storage bottlenecks inherent to modern HPC systems. The report demonstrates substantial improvements in scalability, resilience, and computational throughput, essential for advancing plasma physics research in an exascale computing era.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-18
DOI
https://doi.org/10.5281/zenodo.17978491
Primary Topic
Plasma Diagnostics and Applications
Type
article
Field-Weighted Citation Impact
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article

Plasma-PEPSC D4.2 Report on Improving Parallel I/O, and Enabling In-Situ and Compression Algorithms in Plasma-PEPSC Codes

Zenodo (CERN European Organization for Nuclear Research)
Plasma Diagnostics and Applications
article

Plasma-PEPSC D4.2 Report on Improving Parallel I/O, and Enabling In-Situ and Compression Algorithms in Plasma-PEPSC Codes

article en

Abstract

This report provides updates on the implementation of parallel I/O and its performance for selected Plasma-PEPSC codes. It dives deeply into several asynchronous and hybrid in-situ techniques for real-time data analysis and discusses lossless and lossy compression and reduced precision arithmetics for data storage, communication, and computation. These innovations aim to optimize data workflows, support large-scale simulations, and mitigate storage bottlenecks inherent to modern HPC systems. The report demonstrates substantial improvements in scalability, resilience, and computational throughput, essential for advancing plasma physics research in an exascale computing era.

Zenodo (CERN European Organization for Nuclear Research)
University of Helsinki (FI), Helmholtz-Zentrum Dresden-Rossendorf (DE), Max Planck Computing and Data Facility (DE), Center for Advanced Systems Understanding (DE), Max Planck Institute for Plasma Physics (DE), KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 43%
Plasma Diagnostics and Applications
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Plasma-PEPSC D4.2 Report on Improving Parallel I/O, and Enabling In-Situ and Compression Algorithms in Plasma-PEPSC Codes · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS