Tootfinder

Data Synchronization at High Frequencies
Xinbing Kong, Cheng Liu, Bin Wu
https://arxiv.org/abs/2507.12220 https://arxiv.org/pdf/2507.…

Data Synchronization at High Frequencies
Asynchronous trading in high-frequency financial markets introduces significant biases into econometric analysis, distorting risk estimates and leading to suboptimal portfolio decisions. Existing synchronization methods, such as the previous-tick approach, suffer from information loss and create artificial price staleness. We introduce a novel framework that recasts the data synchronization challenge as a constrained matrix completion problem. Our approach recovers the potential matrix of high-…

»Die #Sprachnachricht ist zudem Ausdruck einer Kommunikationspraxis, die sich immer mehr am Individuum orientiert und dabei kollektive Ressourcen belastet – Zeit, Aufmerksamkeit, Energie. Statt synchron zu kommunizieren, senden wir lieber asynchrone Audiopakete in die Welt, deren Inhalt so viele Redundanzen aufweist, dass wir sie oft in zweifacher Geschwindigkeit hören. Soziale Nähe e…

Replaced article(s) found for cs.GT. https://arxiv.org/list/cs.GT/new
[1/1]:
- Asynchronous Majority Dynamics on Binomial Random Graphs
Divyarthi Mohan, Pawel Pralat

Accuracy and scalability of asynchronous compressible flow solver for transitional flows
Aswin Kumar Arumugam, Shubham Kumar Goswami, Nagabhushana Rao Vadlamani, Konduri Aditya
https://arxiv.org/abs/2506.03027

Accuracy and scalability of asynchronous compressible flow solver for transitional flows
To overcome the communication bottlenecks observed in state-of-the-art parallel time-dependent flow solvers at extreme scales, an asynchronous computing approach that relaxes communication and synchronization at a mathematical level was previously developed. This approach preserves high-order accuracy of computations near processing element boundaries using asynchrony-tolerant (AT) schemes while significantly improving the scalability. The numerical properties of the AT schemes were studied bas…

Skipper: Maximal Matching with a Single Pass over Edges
Mohsen Koohi Esfahani
https://arxiv.org/abs/2507.04420 https://arxiv.org/pdf/…

Skipper: Maximal Matching with a Single Pass over Edges
Maximal Matching (MM) is a fundamental graph problem with diverse applications. However, state-of-the-art parallel MM algorithms are limited by their need to process graph edges repeatedly over multiple iterations. Furthermore, optimized algorithms often require additional memory for graph contraction or edge filtering. In this paper, we introduce Skipper, an incremental asynchronous MM algorithm that (i) processes each edge deterministically and only once, (ii) skips a large fraction of edges …

Do you have a long running calculation freezing up your shiny app? {callr} or {crew} might help: https://discindo.org/post/asynchronous-execution-in-shiny/

Network Modelling of Asynchronous Change-Points in Multivariate Time Series
Carson McKee, Maria Kalli
https://arxiv.org/abs/2506.15801 https://

Network Modelling of Asynchronous Change-Points in Multivariate Time Series
This article introduces a novel Bayesian method for asynchronous change-point detection in multivariate time series. This method allows for change-points to occur earlier in some series (leading series) followed, after a short delay, by change-points in some other series (lagging series). Such dynamic dependence structure is common in fields such as seismology and neurology where a latent event such as an earthquake or seizure causes certain sensors to register change-points before others. We m…

Replaced article(s) found for cs.FL. https://arxiv.org/list/cs.FL/new
[1/1]:
- Universality Frontier for Asynchronous Cellular Automata
Ivan Baburin, Matthew Cook, Florian Gr\"otschla, Andreas Plesner, Roger Wattenhofer

Tracking the economy at high frequency
Freddy Garc\'ia-Alb\'an, Juan Jarr\'in
https://arxiv.org/abs/2507.07450 https://ar…

Tracking the economy at high frequency
This paper develops a high-frequency economic indicator using a Bayesian Dynamic Factor Model estimated with mixed-frequency data. The model incorporates weekly, monthly, and quarterly official indicators, and allows for dynamic heterogeneity and stochastic volatility. To ensure temporal consistency and avoid irregular aggregation artifacts, we introduce a pseudo-week structure that harmonizes the timing of observations. Our framework integrates dispersed and asynchronous official statistics in…

Replaced article(s) found for cs.DC. https://arxiv.org/list/cs.DC/new
[1/1]:
- ZenFlow: Enabling Stall-Free Offloading Training via Asynchronous Updates
Lan, Wu, Ma, Su, Yang, Bicer, Tanaka, Ruwase, Li, Cheng