Tootfinder

I’m unreasonably fucking pissed.
An r/me_irlgbt moderator banned me, and is now accusing me of being an A.I. … … … because I use fucking emdashes and ellipses.
#typography #AI #nightmaretimeline

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…

A New Family of Thread to Core Allocation Policies for an SMT ARM Processor
Marta Navarro, Josu\'e Feliu, Salvador Petit, Mar\'ia E. G\'omez, Julio Sahuquillo
https://arxiv.org/abs/2507.00855

A New Family of Thread to Core Allocation Policies for an SMT ARM Processor
Modern high-performance servers commonly integrate Simultaneous Multithreading (SMT) processors, which efficiently boosts throughput over single-threaded cores. Optimizing performance in SMT processors faces challenges due to the inter-application interference within each SMT core. To mitigate the interference, thread-to-core (T2C) allocation policies play a pivotal role. State-of-the-art T2C policies work in two steps: i) building a per-application performance stack using performance counters …

[Thread] A new US paper shows the best frontier LLM models achieve 0% on hard real-life Programming Contest problems, domains where expert humans still excel (Rohan Paul/@rohanpaul_ai)
https://x.com/rohanpaul_ai/status/1934751145400111572

Rohan Paul (@rohanpaul_ai) on X
This is really BAD news of LLM's coding skill. ☹️ The best Frontier LLM models achieve 0% on hard real-life Programming Contest problems, domains where expert humans still excel. LiveCodeBench Pro, a benchmark composed of problems from Codeforces, ICPC, and IOI (“International

A Performance Model for Warp Specialization Kernels
Zhengyang Liu, Vinod Grover
https://arxiv.org/abs/2506.11209 https://arxiv.org/pd…

A Performance Model for Warp Specialization Kernels
This paper presents a performance model tailored for warp specialization kernels, focusing on factors such as warp size, tilling size, input matrix size, memory bandwidth, and thread divergence. Our model offers accurate predictions of execution time by leveraging differential equations validated through simulations and experiments. The insights gained from this model not only enhance our understanding of warp specialization techniques but also have practical implications for optimizing GPU-acc…

Detection of pure warm-hot #IntergalacticMedium emission from a 7.2 Mpc long filament in the Shapley supercluster using X-ray spectroscopy: https://www.aanda.org/articles/aa/full_html/2025/06/aa54944-25/aa54944-25.html -> Astronomers have discovered a huge filament of hot gas bridging four galaxy clusters: https://www.esa.int/Science_Exploration/Space_Science/XMM-Newton/The_models_were_right_astronomers_find_missing_matter - at 10 times as massive as our galaxy, the thread could contain some of the Universe’s ‘missing’ matter, addressing a decades-long mystery.

Ah fuck, people are using LLMs for kernel code. They really are going to fuck over everything, aren't they?
https://lwn.net/SubscriberLink/1026558/9f3079fb392c4a9a/

Modern streaming.
#entertainment #tv #film #movies

excellent description of executive functioning predicaments
... in a thread at Ask a Manager about ADHD.
I wouldn't recommend the whole comments section this time, because there was too much "well _I_ manage" and missing the point, but I thought this comment from "Han about town" laid out the essence of it really well. Here's a snippet on the challenge of consistently filling out timesheets:
"Monetary penalties or privileges have zero effect on the behaviour, because the behaviour is not moderated by risk, reward, or consequences. It’s moderated by how well I’m able to perform a very rote, boring, *consistent* task on a repeated basis, which is very poorly."
#ADHD #neurodivergence #ExecutiveFunction #rewards