Tootfinder

Tech-ASan: Two-stage check for Address Sanitizer
Yixuan Cao, Yuhong Feng, Huafeng Li, Chongyi Huang, Fangcao Jian, Haoran Li, Xu Wang
https://arxiv.org/abs/2506.05022

Tech-ASan: Two-stage check for Address Sanitizer
Address Sanitizer (ASan) is a sharp weapon for detecting memory safety violations, including temporal and spatial errors hidden in C/C++ programs during execution. However, ASan incurs significant runtime overhead, which limits its efficiency in testing large software. The overhead mainly comes from sanitizer checks due to the frequent and expensive shadow memory access. Over the past decade, many methods have been developed to speed up ASan by eliminating and accelerating sanitizer checks, how…

Apple announces visionOS 26 with spatial widgets, including Clock, Weather, Music, and Photos, all-new Personas, Spatial scenes powered by AI, and more (Ryan Christoffel/9to5Mac)
https://9to5mac.com/2025/06/09/visionos-26-announced-…

visionOS 26 announced with spatial widgets, all-new Personas, more - 9to5Mac
Apple has officially announced visionOS 26, the next major software update for Vision Pro users that will launch this fall.

The SPHEREx Sky Simulator: Science Data Modeling for the First All-Sky Near-Infrared Spectral Survey
Brendan P. Crill, Yoonsoo P. Bach, Sean A. Bryan, Jean Choppin de Janvry, Ari J. Cukierman, C. Darren Dowell, Spencer W. Everett, Candice Fazar, Tatiana Goldina, Zhaoyu Huai, Howard Hui, Woong-Seob Jeong, Jae Hwan Kang, Phillip M. Korngut, Jae Joon Lee, Daniel C. Masters, Chi H. Nguyen, Jeonghyun Pyo, Teresa Symons, Yujin Yang, Michael Zemcov, Rachel Akeson, Matthew L. N. Ashby, James J…

The SPHEREx Sky Simulator: Science Data Modeling for the First All-Sky Near-Infrared Spectral Survey
We describe the SPHEREx Sky Simulator, a software tool designed to model science data for NASA's SPHEREx mission that will carry out a series of all-sky spectrophotometric surveys at $\sim$6'' spatial resolution in 102 spectral channels spanning 0.75 to 5 $μ$m. The Simulator software implements models for astrophysical emission, instrument characteristics, and survey strategy to generate realistic infrared sky scenes as they will be observed by SPHEREx. The simulated data includes a variety of…

Real-time processing of distributed acoustic sensing data for earthquake monitoring operations
Ettore Biondi, Gabrielle Tepp, Ellen Yu, Jessie K. Saunders, Victor Yartsev, Michael Black, Michael Watkins, Aparna Bhaskaran, Rayomand Bhadha, Zhongwen Zhan, Allen L. Husker
https://arxiv.org/abs/2505.24077

Real-time processing of distributed acoustic sensing data for earthquake monitoring operations
We introduce a modular software framework designed to integrate distributed acoustic sensing (DAS) data into operational earthquake monitoring systems. Building on the infrastructure of the Advanced National Seismic System (ANSS) and the Southern California Seismic Network (SCSN), which employs the ANSS Quake Monitoring Software (AQMS), our solution supports real-time DAS waveform streaming and machine-learning-based traveltime picking to leverage the dense spatial sampling of DAS arrays. To en…

This https://arxiv.org/abs/1811.03437 has been replaced.
link: https://scholar.google.com/scholar?q=a

Integrating Project Spatial Coordinates into Pavement Management Prioritization
To date, pavement management software products and studies on optimizing the prioritization of pavement maintenance and rehabilitation (M&R) have been mainly focused on three parameters; the pre-treatment pavement condition, the rehabilitation cost, and the available budget. Yet, the role of the candidate projects' spatial characteristics in the decision-making process has not been deeply considered. Such a limitation, predominately, allows the recommended M&R projects' schedule to involve simu…