Integrating Scholarly Publications and Research Data – Preparing for Open Science, a Case Study from High-Energy Physics with Special Emphasis on (Meta)data Models

Author(s):  
Piotr Praczyk ◽  
Javier Nogueras-Iso ◽  
Suenje Dallmeier-Tiessen ◽  
Mike Whalley
2021 ◽  
pp. 102877
Author(s):  
Sunwoo Lee ◽  
Kai-yuan Hou ◽  
Kewei Wang ◽  
Saba Sehrish ◽  
Marc Paterno ◽  
...  

2015 ◽  
Vol 664 (3) ◽  
pp. 032022 ◽  
Author(s):  
H Meng ◽  
M Wolf ◽  
P Ivie ◽  
A Woodard ◽  
M Hildreth ◽  
...  

1994 ◽  
Vol 6 (2) ◽  
pp. 181-206 ◽  
Author(s):  
Roberto Battiti ◽  
Giampietro Tecchiolli

Author(s):  
I. Alexandrov ◽  
A. Amorim ◽  
E. Badescu ◽  
M. Barczyk ◽  
D. Burckhart-Chromek ◽  
...  

Author(s):  
Maria Grigorieva ◽  
Eugeny Tretyakov ◽  
Alexei Klimentov ◽  
Dmitry Golubkov ◽  
Tatiana Korchuganova ◽  
...  

2020 ◽  
Vol 245 ◽  
pp. 07046
Author(s):  
Anna Elizabeth Woodard ◽  
Ana Trisovic ◽  
Zhuozhao Li ◽  
Yadu Babuji ◽  
Ryan Chard ◽  
...  

We explore how the function as a service paradigm can be used to address the computing challenges in experimental high-energy physics at CERN. As a case study, we use funcX—a high-performance function as a service platform that enables intuitive, flexible, efficient, and scalable remote function execution on existing infrastructure—to parallelize an analysis operating on columnar data to aggregate histograms of analysis products of interest in real-time. We demonstrate efficient execution of such analyses on heterogeneous resources.


2020 ◽  
Vol 245 ◽  
pp. 07005
Author(s):  
Jeffrey Dost ◽  
Marco Mascheroni ◽  
Brian Bockelman ◽  
Lincoln Bryant ◽  
Timothy Cartwright ◽  
...  

The Open Science Grid (OSG) provides a common service for resource providers and scientific institutions, and supports sciences such as High Energy Physics, Structural Biology, and other community sciences. As scientific frontiers expand, so does the need for resources to analyze new data. For example, High Energy Physics experiments such as the LHC experiments foresee an exponential growth in the amount of data collected, which comes with corresponding growth in the need for computing resources. Allowing resource providers an easy way to share their resources is paramount to ensure the grow of resources available to scientists. In this context, the OSG Hosted CE initiative provides site administrator a way to reduce the effort needed to install and maintain a Compute Element (CE), and represents a solution for sites who do not have the effort and expertise to run their own Grid middleware. An HTCondor Compute Element is installed on a remote VM at UChicago for each site that joins the Hosted CE initiative. The hardware/software stack is maintained by OSG Operations staff in a homogeneus and automated way, providing a reduction in the overall operational effort needed to maintain the CEs: one single organization does it in an uniform way, instead of each single resource provider doing it in their own way. Currently, more than 20 institutions joined the Hosted CE initiative. This contribution discusses the technical details behind a Hosted CE installation, highlighting key strengths and common pitfalls, and outlining future plans to further reduce operational experience.


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