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PGI-13 Website Theme

Development backyard for project atomlflow on GitHub. Mainly notes.

Brownian Dynamics code in C++

Title: An introduction to training algorithms for neuromorphic computing and on-line learning Abstract: Training neural networks implemented in neuromorphic hardware is challenging due to the dynamic, sparse, and local nature of the computations. This tutorial will describe some established gradient-based solutions to address these challenges in the context of real-valued recurrent neural networks and spiking neural networks. Insights into gradient-based training algorithms and associated autodifferentiation methods lead to online synaptic plasticity rules and the necessary assumptions to implement them in in-memory computing devices. The tutorial will conclude with methods that can be used to improve and optimize learning algorithms using meta-learning and other meta-optimization approaches.

Version of candi to build deal.ii on JURECA

Release version of a Java based GUI for case creation and SolutionMonitor for containmentFoam

Learning notes on coding, programming, software engineering, RSE.

Tool for synching config files between several hosts. It manages differences between systems with Git branches.

Release version of containmentFOAM, a pressure based multi-species solver based on OpenFOAM-6. Its model library includes relevant physical and technical models for analysis transport processes inside confined domains like a containment.

Release version of containmentFOAM, a pressure based multi-species solver based on OpenFOAM-11. Its model library includes relevant physical and technical models for analysis transport processes inside confined domains like a containment.

Release version of containmentFOAM, a pressure based multi-species solver based on OpenFOAM-9. Its model library includes relevant physical and technical models for analysis transport processes inside confined domains like a containment.

Counting statistics and fractionalization

Notes from JW’s participation in The Carpentries course “Instructor Training”, date Mar 4-5, 2024.