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09/12/2023
Integration of Quantum Accelerators with High Performance Computing – A Review of Quantum Programming Tools
Quantum computing (QC) introduces a novel mode of computation with the p...
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05/28/2023
Towards Confidential Computing: A Secure Cloud Architecture for Big Data Analytics and AI
Cloud computing provisions computer resources at a cost-effective way ba...
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01/15/2023
Quantum-inspired tensor network for Earth science
Deep Learning (DL) is one of many successful methodologies to extract in...
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08/12/2022
Dynamic Sensor Matching based on Geomagnetic Inertial Navigation
Optical sensors can capture dynamic environments and derive depth inform...
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11/27/2021
Roadmap for Edge AI: A Dagstuhl Perspective
Based on the collective input of Dagstuhl Seminar (21342), this paper pr...
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03/04/2021
Pandemic Drugs at Pandemic Speed: Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers
The race to meet the challenges of the global pandemic has served as a r...
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10/13/2020
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads
The drug discovery process currently employed in the pharmaceutical indu...
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04/28/2020
Enabling EASEY deployment of containerized applications for future HPC systems
The upcoming exascale era will push the changes in computing architectur...
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10/16/2019
Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research
Automated classification of metadata of research data by their disciplin...
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01/31/2019
Methods to Evaluate Lifecycle Models for Research Data Management
Lifecycle models for research data are often abstract and simple. This c...
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10/09/2018
