Privacy Preservation from High-Performance Computing to Autonomous Science [Industrial and Governmental Activities]

High-Performance Computing (HPC) and Leadership-Class Supercomputing are driving forces behind scientific advancements, enabling researchers to tackle complex challenges in physics, chemistry, biology, and engineering. These systems power vast simulations and data analyses, fueling discoveries in fields ranging from materials science to climate modeling. However, their use often involves processing sensitive data—such as proprietary industry simulations, biomedical records, and national security computations—posing significant privacy concerns. This issue is amplified in collaborative environments like Department of Energy (DOE) user facilities, where HPC resources are shared across institutions to foster innovation.

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Publication Details

Journal
IEEE Computational Intelligence Magazine
Published
2025-07-14
DOI
https://doi.org/10.1109/mci.2025.3572325
Primary Topic
Phase-change materials and chalcogenides
Type
article
Field-Weighted Citation Impact
0.00

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article

Privacy Preservation from High-Performance Computing to Autonomous Science [Industrial and Governmental Activities]

Olivera Kotevska
IEEE Computational Intelligence Magazine
Phase-change materials and chalcogenides
article

Privacy Preservation from High-Performance Computing to Autonomous Science [Industrial and Governmental Activities]

Olivera Kotevska
article en

Abstract

High-Performance Computing (HPC) and Leadership-Class Supercomputing are driving forces behind scientific advancements, enabling researchers to tackle complex challenges in physics, chemistry, biology, and engineering. These systems power vast simulations and data analyses, fueling discoveries in fields ranging from materials science to climate modeling. However, their use often involves processing sensitive data—such as proprietary industry simulations, biomedical records, and national security computations—posing significant privacy concerns. This issue is amplified in collaborative environments like Department of Energy (DOE) user facilities, where HPC resources are shared across institutions to foster innovation.

IEEE Computational Intelligence MagazineVol. 20(3)
Oak Ridge National Laboratory (US)
U.S. Department of Energy, UT-Battelle
Openalex Percentile: Top 88%
Phase-change materials and chalcogenides
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