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#Lees Computing the Climate van @… over het hoe en waarom van klimaatmodellen, met plaatjes😂

Topology and monoid representations II: left regular bands of groups and Hsiao's monoid of ordered $G$-partitions
Benjamin Steinberg
https://arxiv.org/abs/2404.03475

Topology and monoid representations II: left regular bands of groups and Hsiao's monoid of ordered $G$-partitions
The goal of this paper is to use topological methods to compute $\mathrm{Ext}$ between irreducible representations of von Neumann regular monoids in which Green's $\mathscr L$- and $\mathscr J$-relations coincide (e.g., left regular bands). Our results subsume those of S.~Margolis, F.~Saliola, and B.~Steinberg, \emph{Combinatorial topology and the global dimension of algebras arising in combinatorics}, J. Eur. Math. Soc. (JEMS), \textbf{17}, 3037--3080 (2015). Applications include computing $…

Green HPC: An analysis of the domain based on Top500
Abdessalam Benhari (LIG, DATAMOVE), Denis Trystram (UGA, DATAMOVE), Fanny Dufoss\'e (DATAMOVE), Yves Denneulin, Fr\'ed\'eric Desprez
https://arxiv.org/abs/2403.17466

Green HPC: An analysis of the domain based on Top500
The demand in computing power has never stopped growing over the years. Today, the performance of the most powerful systems exceeds the exascale and the number of petascale systems continues to grow. Unfortunately, this growth also goes hand in hand with ever-increasing energy costs, which in turn means a significant carbon footprint. In view of the environmental crisis, this paper intents to look at the often hidden issue of energy consumption of HPC systems. As it is not easy to access the da…

Real-space Calculation of Orbital Hall Responses in Disordered Materials
Luis M. Canonico, Jose H. Garc\'ia, Stephan Roche
https://arxiv.org/abs/2404.01739

Real-space Calculation of Orbital Hall Responses in Disordered Materials
We developed an efficient numerical approach to compute the different components of the orbital Hall responses in disordered materials from the Berry phase theory of magnetization. We propose a theoretical framework based on the Chebyshev expansion of Green's functions and the position operator for systems under arbitrary boundary conditions. The capability of this scheme is illustrated by computing the orbital Hall conductivity for gapped graphene and Haldane model in the presence of nonpertur…

This https://arxiv.org/abs/2310.09282 has been replaced.
initial toot: https://mastoxiv.page/@a…

Phonon thermal transport in UO$_2$ via self-consistent perturbation theory
Computing thermal transport from first-principles in UO$_2$ is complicated due to the challenges associated with Mott physics. Here we use irreducible derivative approaches to compute the cubic and quartic phonon interactions in UO$_2$ from first-principles, and we perform enhanced thermal transport computations by evaluating the phonon Green's function via self-consistent diagrammatic perturbation theory. Our predicted phonon lifetimes at $T=600$ K agree well with our inelastic neutron scatter…

MUHAHAHA...the CPU came in for the NAS upgrade. Not really a powerhouse of computing, but it has *all* the PCIe lanes... #homelab #nas

Exploring Green AI for Audio Deepfake Detection
Subhajit Saha, Md Sahidullah, Swagatam Das
https://arxiv.org/abs/2403.14290 https://a…

Exploring Green AI for Audio Deepfake Detection
The state-of-the-art audio deepfake detectors leveraging deep neural networks exhibit impressive recognition performance. Nonetheless, this advantage is accompanied by a significant carbon footprint. This is mainly due to the use of high-performance computing with accelerators and high training time. Studies show that average deep NLP model produces around 626k lbs of CO\textsubscript{2} which is equivalent to five times of average US car emission at its lifetime. This is certainly a massive th…