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07/24/2023
KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud Experiments
Distributed infrastructures for computation and analytics are now evolvi...
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07/20/2023
ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum
Modern scientific workflows require hybrid infrastructures combining num...
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07/14/2022
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources
Although more layers and more parameters generally improve the accuracy ...
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04/29/2022
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review
The explosion of data volumes generated by an increasing number of appli...
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09/03/2021
Enabling Reproducible Analysis of Complex Workflows on the Edge-to-Cloud Continuum
Distributed digital infrastructures for computation and analytics are no...
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08/04/2021
Reproducible Performance Optimization of Complex Applications on the Edge-to-Cloud Continuum
In more and more application areas, we are witnessing the emergence of c...
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05/11/2021
Distributed In-memory Data Management for Workflow Executions
Complex scientific experiments from various domains are typically modele...
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02/05/2021
Hyperspherical embedding for novel class classification
Deep learning models have become increasingly useful in many different i...
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09/30/2020
Workflow Provenance in the Lifecycle of Scientific Machine Learning
Machine Learning (ML) has already fundamentally changed several business...
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10/09/2019
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering
Machine Learning (ML) has become essential in several industries. In Com...
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05/17/2019
Keeping Track of User Steering Actions in Dynamic Workflows
In long-lasting scientific workflow executions in HPC machines, computat...
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05/08/2018
