Tootfinder

🇺🇦 #NowPlaying on KEXP's #MorningShow
Tears for Fears:
🎵 Head Over Heels / Broken (live)
#TearsforFears
https://dirtyneedlz.bandcamp.com/track/head-over-heels-broken-dirty-needlz-brazil-rework
https://open.spotify.com/track/4EYDUxcERxthPxpbs6mTRd

dolphins: Dolphin social network (1994-2001)
An undirected social network of frequent associations observed among 62 dolphins (Tursiops) in a community living off Doubtful Sound, New Zealand, from 1994-2001.
This network has 62 nodes and 159 edges.
Tags: Social, Animal, Unweighted
https://networks.skewed.de/net/dolphins…

Lightweight and High-Throughput Secure Logging for Internet of Things and Cold Cloud Continuum
Saif E. Nouma, Attila A. Yavuz
https://arxiv.org/abs/2506.08781

Lightweight and High-Throughput Secure Logging for Internet of Things and Cold Cloud Continuum
The growing deployment of resource-limited Internet of Things (IoT) devices and their expanding attack surfaces demand efficient and scalable security mechanisms. System logs are vital for the trust and auditability of IoT, and offloading their maintenance to a Cold Storage-as-a-Service (Cold-STaaS) enhances cost-effectiveness and reliability. However, existing cryptographic logging solutions either burden low-end IoT devices with heavy computation or create verification delays and storage inef…

Understanding Software Engineering Agents Through the Lens of Traceability: An Empirical Study
Ira Ceka, Saurabh Pujar, Shyam Ramji, Luca Buratti, Gail Kaiser, Baishakhi Ray
https://arxiv.org/abs/2506.08311

Understanding Software Engineering Agents Through the Lens of Traceability: An Empirical Study
With the advent of large language models (LLMs), software engineering agents (SWE agents) have emerged as a powerful paradigm for automating a range of software tasks -- from code generation and repair to test case synthesis. These agents operate autonomously by interpreting user input and responding to environmental feedback. While various agent architectures have demonstrated strong empirical performance, the internal decision-making worfklows that drive their behavior remain poorly understoo…

I have a new job, I'm happy I have this job because it's a good job for a good company.
So I should be generally happy, shouldn't I?
Unfortunately I'm not - not as happy as I would like to be - due to everything else going on (my father, *waves frantically* fascism and war and ecocide), so I resort to buying stuff.
Namely, a refurbished coffee grinder and a second-hand Casio watch.
Neither is trackable yet for some DHL reason.
I hate everything.

BKA nennt Identität des mutmaßlichem Chefs der Trickbot-Bande
Das Bundeskriminalamt sucht mit Namen und Gesicht nach dem mutmaßlichen Kopf der berüchtigten Trickbot-Bande. Er gilt als ein Pionier der Cyberkriminalität.

High-throughput polarization-independent spatial mode shaping with mode-selective photonic lanterns
Harikumar K Chandrasekharan, Ross Donaldson
https://arxiv.org/abs/2506.08595

High-throughput polarization-independent spatial mode shaping with mode-selective photonic lanterns
Coherent interference in multimode photonic systems offers a transformative approach for scalable, high-fidelity optical control, enabling precise beam shaping, efficient power delivery, and advanced signal processing through single-mode performance. Current techniques are often constrained to a single polarization state of light, system complexity, and the fabrication challenges associated with precise waveguide structures. Here, we present a high-efficiency coherent combination scheme employi…

Piecewise-linear embeddings of the space of 3D lattices into $\RR^{13}$ for high-throughput handling of lattice parameters
Ryoko Oishi-Tomiyasu
https://arxiv.org/abs/2506.08934

Piecewise-linear embeddings of the space of 3D lattices into $\RR^{13}$ for high-throughput handling of lattice parameters
We present two methods to continuously and piecewise-linearly parametrize rank-3 lattices by vectors of $\RR^{13}$, which provides an efficient way to judge if two sets of parameters provide nearly identical lattices within their margins of errors. Such a parametrization can be used to speed up scientific computing involving periodic structures in $\RR^3$ such as crystal structures, which includes database querying, detection of duplicate entries, and structure generation via deep learning tech…

Dzisiejsza noc zapowiada się sielankowo - tylko dźwięk górskiego potoku. Trzeba wszystko szczelnie pozasłaniać, bo jest trochę jasno jak na noc...

#norwegia #vanlife

Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data
Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Tammy Glazer, Gilles Hacheme, Anthony Ortiz, Rahul M Dodhia, Juan M Lavista Ferres
https://arxiv.org/abs/2506.06235

Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data
Training deep learning models on petabyte-scale Earth observation (EO) data requires separating compute resources from data storage. However, standard PyTorch data loaders cannot keep modern GPUs utilized when streaming GeoTIFF files directly from cloud storage. In this work, we benchmark GeoTIFF loading throughput from both cloud object storage and local SSD, systematically testing different loader configurations and data parameters. We focus on tile-aligned reads and worker thread pools, usin…