76 citations · 128 across the 10 of their papers we have counts for
12 papers
Deep learning inference with the Event Horizon Telescope I. Calibration improvements and a comprehensive synthetic data library
M. Janssen, C. -k. Chan, J. Davelaar +6
(abridged) In a series of publications, we describe a comprehensive comparison of Event Horizon Telescope (EHT) data with theoretical models of Sgr A* and M87*. Here, we report on…
The XENONnT Dark Matter Experiment
XENON Collaboration, E. Aprile, J. Aalbers +192
The multi-staged XENON program at INFN Laboratori Nazionali del Gran Sasso aims to detect dark matter with two-phase liquid xenon time projection chambers of increasing size and se…
Data Integrity Error Localization in Networked Systems with Missing Data
Yufeng Xin, Shih-Wen Fu, Anirban Mandal +4
Most recent network failure diagnosis systems focused on data center networks where complex measurement systems can be deployed to derive routing information and ensure network cov…
Blueprint: Cyberinfrastructure Center of Excellence
Ewa Deelman, Anirban Mandal, Angela P. Murillo +15
In 2018, NSF funded an effort to pilot a Cyberinfrastructure Center of Excellence (CI CoE or Center) that would serve the cyberinfrastructure (CI) needs of the NSF Major Facilities…
Serverless Containers -- rising viable approach to Scientific Workflows
Krzysztof Burkat, Maciej Pawlik, Bartosz Balis +5
Increasing popularity of the serverless computing approach has led to the emergence of new cloud infrastructures working in Container-as-a-Service (CaaS) model like AWS Fargate, Go…
Creating a content delivery network for general science on the internet backbone using XCaches
Edgar Fajardo, Marian Zvada, Derek Weitzel +9
A general problem faced by computing on the grid for opportunistic users is that delivering cycles is simpler than delivering data to those cycles. In this project we show how we i…
Custom Execution Environments with Containers in Pegasus-enabled Scientific Workflows
Karan Vahi, Mats Rynge, George Papadimitriou +7
Science reproducibility is a cornerstone feature in scientific workflows. In most cases, this has been implemented as a way to exactly reproduce the computational steps taken to re…
StashCache: A Distributed Caching Federation for the Open Science Grid
Derek Weitzel, Marian Zvada, Ilija Vukotic +6
Data distribution for opportunistic users is challenging as they neither own the computing resources they are using or any nearby storage. Users are motivated to use opportunistic…
Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE
Doug James, Nancy Wilkins-Diehr, Victoria Stodden +52
This is the final report on reproducibility@xsede, a one-day workshop held in conjunction with XSEDE14, the annual conference of the Extreme Science and Engineering Discovery Envir…
Creating A Galactic Plane Atlas With Amazon Web Services
G. Bruce Berriman, Ewa Deelman, John Good +4
This paper describes by example how astronomers can use cloud-computing resources offered by Amazon Web Services (AWS) to create new datasets at scale. We have created from existin…
Snowmass Energy Frontier Simulations using the Open Science Grid (A Snowmass 2013 whitepaper)
A. Avetisyan, S. Bhattacharya, M. Narain +9
Snowmass is a US long-term planning study for the high-energy community by the American Physical Society's Division of Particles and Fields. For its simulation studies, opportunist…
A Tale Of 160 Scientists, Three Applications, A Workshop and A Cloud
G. Bruce Berriman, Carolyn Brinkworth, Dawn Gelino +5
The NASA Exoplanet Science Institute (NExScI) hosts the annual Sagan Workshops, thematic meetings aimed at introducing researchers to the latest tools and methodologies in exoplane…