Tootfinder

A Study on Messaging Trade-offs in Data Streaming for Scientific Workflows
Anjus George, Michael J. Brim, Christopher Zimmer, Tyler J. Skluzacek, A. J. Ruckman, Gustav R. Jansen, Sarp Oral
https://arxiv.org/abs/2509.07199

A Study on Messaging Trade-offs in Data Streaming for Scientific Workflows
Memory-to-memory data streaming is essential for modern scientific workflows that require near real-time data analysis, experimental steering, and informed decision-making during experiment execution. It eliminates the latency bottlenecks associated with file-based transfers to parallel storage, enabling rapid data movement between experimental facilities and HPC systems. These tightly coupled experimental-HPC workflows demand low latency, high throughput, and reliable data delivery to support …

When Secure Isn't: Assessing the Security of Machine Learning Model Sharing
Gabriele Digregorio, Marco Di Gennaro, Stefano Zanero, Stefano Longari, Michele Carminati
https://arxiv.org/abs/2509.06703

When Secure Isn't: Assessing the Security of Machine Learning Model Sharing
The rise of model-sharing through frameworks and dedicated hubs makes Machine Learning significantly more accessible. Despite their benefits, these tools expose users to underexplored security risks, while security awareness remains limited among both practitioners and developers. To enable a more security-conscious culture in Machine Learning model sharing, in this paper we evaluate the security posture of frameworks and hubs, assess whether security-oriented mechanisms offer real protection, …

Muonium HFS Uncertainty Revisited
Michael I. Eides
https://arxiv.org/abs/2510.07281 https://arxiv.org/pdf/2510.07281

Muonium HFS Uncertainty Revisited
Uncertainty of the quantum electrodynamics theoretical prediction for the hyperfine splitting in the ground state of muonium is considered. It is compared with the respective discussion in the two most recent CODATA adjustments of the fundamental physical constants.

Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Muonium HFS Uncertainty Revisited
Michael I. Eides

Replaced article(s) found for hep-ex. https://arxiv.org/list/hep-ex/new
[1/1]:
- WISPFI Experiment: Prototype Development
Josep Maria Batllori, Michael Frosz, Dieter Horns, Marios Maroudas

Reminder: BHL is a rape apologist who has said that the hijab is an invitation to rape.
That's why we don't cite X. It is entirely made up of the worst people in the world. If you still use a functioning X account, you are *ONE OF THEM*, no matter how good your intentions. https://

Michael Hobbes (@michaelhobbes.bsky.social)
The way all of these people convinced themselves that Mamdani is antisemitic is a subject far more worthy of media examination than any of the ‘groupthink on campuses!’ thinkpieces we’ve been subjected to

Why Raiders' Brock Bowers Is a Mystifying Fantasy Football Figure https://www.si.com/nfl/raiders/las-vegas-brock-bowers-michael-mayer-fantasy-football-pete-carroll

#Phantastikprompts 04.10.:
Haben deine Hobbys Einfluss auf deine Figuren?
Sehr direkt dadurch, dass es die Romane ohne das Hobby "Text-RP" nicht gegeben hätte, auf das ich in der Form wiederum durch das Hobby "Browsergames" gestoßen bin (wobei ich inzwischen eher mobil casual spiele).
Sehr viel Framework und Weltenkonstrukt, das sich unmittelbar auf…

Short-circuiting Rings for Low-Latency AllReduce
Sarah-Michelle Hammer, Stefan Schmid, Rachee Singh, Vamsi Addanki
https://arxiv.org/abs/2510.03491 https://

Short-circuiting Rings for Low-Latency AllReduce
Efficient collective communication is critical for many distributed ML and HPC applications. In this context, it is widely believed that the Ring algorithm for the AllReduce collective communication operation is optimal only for large messages, while Recursive Doubling is preferable for small ones due to its logarithmic number of steps compared to the linear number for Ring. In this paper, we challenge this long-held assumption and show that the Ring algorithm can remain optimal even for short …

Integrating and Characterizing HPC Task Runtime Systems for hybrid AI-HPC workloads
Andre Merzky, Mikhail Titov, Matteo Turilli, Shantenu Jha
https://arxiv.org/abs/2509.20819 ht…

Integrating and Characterizing HPC Task Runtime Systems for hybrid AI-HPC workloads
Scientific workflows increasingly involve both HPC and machine-learning tasks, combining MPI-based simulations, training, and inference in a single execution. Launchers such as Slurm's srun constrain concurrency and throughput, making them unsuitable for dynamic and heterogeneous workloads. We present a performance study of RADICAL-Pilot (RP) integrated with Flux and Dragon, two complementary runtime systems that enable hierarchical resource management and high-throughput function execution. Us…