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Access to high-performance computing facilities/supercomputer time is required for simulations, multi-wavelength data handling and analysis, and data storage. This would then support the theoretical m…
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While the [materials project](https://materialsproject.org), [Aiida](https://aiida.net) and [pyiron](https://pyiron.org) all started from different directions and developed different approaches to hig…
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At UW-Madison's Center for High Throughput Computing, our users have important reasons to not have file written to their home directories. In particular, when sending jobs to the Open Science Grid (a …
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http://doi.org/10.1101/093021
> Artificial neural networks (ANN) are computing architectures with massively parallel interconnections of simple neurons and has been applied to biomedical fields suc…
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## Motivation
Currently, the AiiDA engine will submit one job to the scheduler for each calculation job.
The ability to run multiple AiiDA jobs inside one scheduler job has several use cases:
1…
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I want to teach a short workshop on cloud computing and use some of the materials in this workshop, as it seemed a bit more suitable than the cloud-novice lesson. Right now, the only way to give attri…
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### What is gRPC?
gRPC (gRPC Remote Procedure Call) is a high-performance, open-source framework for making remote procedure calls (RPC) across distributed systems. It was developed by Google and i…
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Particularly in high-throughput studies, where one does not know a priori whether a given structure is metallic or insulating, it can be useful to use diagonalization with smearing as a fallback if or…
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> ⭐: conference
> 💥: following (focused)
> 💡: following (related)
> 🎓: workshop
> **note0**: These are the conferences where distributed/decentralized systems have appeared
> **note1**: I have ad…
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### What happened?
I'm running PoC with OpenShift 4.13, Kepler 0.9.2 installed with Kepler (Community) Operator.
One of the use-cases is to visualise energy consumption of DPDK enabled containers. …