Tootfinder

ChatGPT Wrapped: Chats statt Musik-Playlisten
OpenAI führt für ChatGPT einen persönlichen Jahresrückblick ein, der an Spotifys Wrapped erinnert. "Dein Jahr in..."
https://www.heise.de/ne…

Just got a new monitor, an ASUS ProArt PA32QCV. First time I've had a high density display for my Windows desktop. It's nice!
(Eloi friends, you are welcome to mock me on this one: it took Windows forever to catch up on Retina and it's still behind.)

More big cuts to Universities and Colleges in Canada/BC.
This time it's smaller colleges in the Interior of BC. Coast Mountain College in Prince Rupert/Northwest, and Selkirk College in the SE/Nelson.
The Hazelton campus of CMC is being closed as is the Fine Arts campus of Selkirk.
All because successive Provincial and Federal governments in Canada thought the gravy-train of International students would last forever, allowing them to redirect funding for Post Secondary to other parts of the budget.
I don't think the system has found the bottom yet, and at the end, it will be Domestic students who suffer most from hugely diminished services at their local, and regional, and national colleges and Universities.
#Education #CanPoli #CdnPoli #PostSecondary #Investment
edit: the article is by @…

https://www.cbc.ca/news/canada/british-columbia/coast-mountain-college-hazelton-closing-campus-cuts-9.6946111

An Asynchronous Many-Task Algorithm for Unstructured $S_{N}$ Transport on Shared Memory Systems
Alex Elwood, Tom Deakin, Justin Lovegrove, Chris Nelson
https://arxiv.org/abs/2510.11513

An Asynchronous Many-Task Algorithm for Unstructured $S_{N}$ Transport on Shared Memory Systems
Discrete ordinates $S_N$ transport solvers on unstructured meshes pose a challenge to scale due to complex data dependencies, memory access patterns and a high-dimensional domain. In this paper, we review the performance bottlenecks within the shared memory parallelization scheme of an existing transport solver on modern many-core architectures with high core counts. With this analysis, we then survey the performance of this solver across a variety of compute hardware. We then present a new Asy…

iDDS: Intelligent Distributed Dispatch and Scheduling for Workflow Orchestration
Wen Guan, Tadashi Maeno, Aleksandr Alekseev, Fernando Harald Barreiro Megino, Kaushik De, Edward Karavakis, Alexei Klimentov, Tatiana Korchuganova, FaHui Lin, Paul Nilsson, Torre Wenaus, Zhaoyu Yang, Xin Zhao
https://arxiv.org/abs/2510.02930

iDDS: Intelligent Distributed Dispatch and Scheduling for Workflow Orchestration
The intelligent Distributed Dispatch and Scheduling (iDDS) service is a versatile workflow orchestration system designed for large-scale, distributed scientific computing. iDDS extends traditional workload and data management by integrating data-aware execution, conditional logic, and programmable workflows, enabling automation of complex and dynamic processing pipelines. Originally developed for the ATLAS experiment at the Large Hadron Collider, iDDS has evolved into an experiment-agnostic pla…