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j-woz May 19, 2025
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j-woz May 19, 2025
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Expand Up @@ -17,9 +17,13 @@ Some recent project publications:

* [Employing artificial intelligence to steer exascale workflows with Colmena](https://journals.sagepub.com/doi/pdf/10.1177/10943420241288242), L. Ward et al., 2024: Describes the Colmena framework that we use in developing AI-guided simulation campaign applications.
* [Octopus: Experiences with a hybrid event-driven architecture for distributed scientific computing](https://arxiv.org/pdf/2407.11432), H. Pan et al., 2024: Introduces the Octopus framework that we are developing for scalable distributed event delivery.
* [Tools for predicting and responding to anomalies in experiment data streams](https://indico.esrf.fr/event/114/contributions/779)
J. M. Wozniak et al., NOBUGS at European Synchrotron Radiation Facility, 2024: Presentation about initial Diaspora work in managing reliable data streams for scientific experiments.
* [Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows](https://ieeexplore.ieee.org/abstract/document/10678669), B. Nicolae et al., 2024: Project overview paper.
* [Efficient distributed continual learning for steering experiments in real-time](https://www.sciencedirect.com/science/article/pii/S0167739X24003820), T. Bouvier et al., 2025. Rehearsal-based continual learning for scientific applications.
* [MOFA: Discovering Materials for Carbon Capture with a GenAI- and Simulation-Based Workflow](https://arxiv.org/abs/2501.10651), X. Yan et al., 2025: A real-time workflow combining generative AI and HPC simulations to discover novel metal-organic frameworks (MOFs) for carbon capture.
* [Impacts of shared filesystem performance on real-time data acquisition and analysis](https://web.cels.anl.gov/~woz/papers/FS_Impacts_2025.pdf)
J. M. Wozniak et al., Workshop on Near Real-Time Data Processing for Interconnected Scientific Instruments at SuperComputingAsia, 2025: Preliminary study of a 3-filesystem data movement workflow that mimics a light source science use case.
* [D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage](tbd), M. Gonthier et al., 2025: A resilient solution for chunking and placing erasure-coded data on heterogeneous storage nodes.
* [WRATH: Workload Resilience Across Task Hierarchies in Task-based Parallel Programming Frameworks](https://arxiv.org/abs/2503.12752), S. Zhou et al., 2025: A resilience module that categorizes and handles failures in task-based parallel programming frameworks.

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