Tootfinder

WattsOnAI: Measuring, Analyzing, and Visualizing Energy and Carbon Footprint of AI Workloads
Hongzhen Huang, Kunming Zhang, Hanlong Liao, Kui Wu, Guoming Tang
https://arxiv.org/abs/2506.20535

WattsOnAI: Measuring, Analyzing, and Visualizing Energy and Carbon Footprint of AI Workloads
The rapid advancement of AI, particularly large language models (LLMs), has raised significant concerns about the energy use and carbon emissions associated with model training and inference. However, existing tools for measuring and reporting such impacts are often fragmented, lacking systematic metric integration and offering limited support for correlation analysis among them. This paper presents WattsOnAI, a comprehensive software toolkit for the measurement, analysis, and visualization of …

Nearby dwarf galaxies with extreme star formation rates: a window into dwarf-galaxy evolution in the early Universe
S. Kaviraj, B. Bichang'a, I. Lazar, A. E. Watkins, G. Martin, R. A. Jackson
https://arxiv.org/abs/2506.03265

Nearby dwarf galaxies with extreme star formation rates: a window into dwarf-galaxy evolution in the early Universe
We study a sample of nearby (z~0.2) low-luminosity dwarf (10^7 MSun < M* < 10^8 MSun) galaxies which have extreme (0.1 - 3 MSun/yr) star formation rates (SFRs) for this mass regime, making them plausible analogues of dwarfs at z~5.5. We compare the properties of these analogues to control samples of 'normal' dwarfs, which reside on the star formation main sequence (SFMS) at z~0.2 and are matched in their stellar mass and redshift distributions to the analogue population. The analogue and normal…

Lower deviation probabilities for supercritical multi-type Galton--Watson processes
Tan Jiangrui
https://arxiv.org/abs/2506.23647 https://

Lower deviation probabilities for supercritical multi-type Galton--Watson processes
This paper provides a detailed analysis of the lower deviation probability properties for a $d$-type ($d>1$) Galton--Watson (GW) process $\{\textbf{Z}_n=(Z_n^{(i)})_{1\le i\le d};n\ge0\}$ in both Schröder and Böttcher cases. We establish explicit decay rates for the following probabilities: $$\mathbb{P}(\textbf{Z}_n=\textbf{k}_n),~ \mathbb{P}(|\textbf{Z}_n|\le k_n), ~\mathbb{P}(Z^{(i)}_n=k_n)~~\text{and}~~\mathbb{P}(Z^{(i)}_n\le k_n), 1\le i \le d,$$ respectively, where $\textbf{k}_…

Finite-Horizon Strategy in Infinite-Horizon Linear-Quadratic Discrete-Time Dynamic Games
Shengyuan Huang, Xiaoguang Yang, Yifen Mu, Wenjun Mei
https://arxiv.org/abs/2506.19565

Finite-Horizon Strategy in Infinite-Horizon Linear-Quadratic Discrete-Time Dynamic Games
This paper explores a finite-horizon strategy, ``watching $T$ steps into the future and moving one step now,'' in an $N$-person infinite-horizon discrete-time linear-quadratic dynamic game. The game involves linear input/output/state dynamics and quadratic cost functions with heterogeneous discount factors. For the finite-horizon version, which forms the basis of the infinite-horizon game, we analyze the structure of the coupled generalized discrete Riccati difference equations related to the f…

IDGraphs: Intrusion Detection and Analysis Using Stream Compositing
Pin Ren, Yan Gao, Zhichun Li, Yan Chen, Benjamin Watson
https://arxiv.org/abs/2506.21425

IDGraphs: Intrusion Detection and Analysis Using Stream Compositing
Traffic anomalies and attacks are commonplace in today's networks and identifying them rapidly and accurately is critical for large network operators. For a statistical intrusion detection system (IDS), it is crucial to detect at the flow-level for accurate detection and mitigation. However, existing IDS systems offer only limited support for 1) interactively examining detected intrusions and anomalies, 2) analyzing worm propagation patterns, 3) and discovering correlated attacks. These problem…