Zobrazeno 1 - 10
of 611
pro vyhledávání: '"Katz, Daniel S."'
The Common Workflow Language (CWL) is a widely adopted language for defining and sharing computational workflows. It is designed to be independent of the execution engine on which workflows are executed. In this paper, we describe our experiences int
Externí odkaz:
http://arxiv.org/abs/2412.08062
Autor:
Katz, Daniel S., Carver, Jeffrey C.
This is a virtual dialog between Jeffrey C. Carver and Daniel S. Katz on how people learn programming languages. It's based on a talk Jeff gave at the first US-RSE Conference (US-RSE'23), which led Dan to think about human languages versus computer l
Externí odkaz:
http://arxiv.org/abs/2407.15907
This article focuses on training work carried out in artificial intelligence (AI) at the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign via a research experience for undergraduates (REU) program
Externí odkaz:
http://arxiv.org/abs/2406.14744
Autor:
Westner, Britta U., McCloy, Daniel R., Larson, Eric, Gramfort, Alexandre, Katz, Daniel S., Smith, Arfon M., co-signees, invited
Most scientists need software to perform their research (Barker et al., 2020; Carver et al., 2022; Hettrick, 2014; Hettrick et al., 2014; Switters and Osimo, 2019), and neuroscientists are no exception. Whether we work with reaction times, electrophy
Externí odkaz:
http://arxiv.org/abs/2403.19394
This paper extends the FAIR (Findable, Accessible, Interoperable, Reusable) guidelines to provide criteria for assessing if software conforms to best practices in open source. By adding 'USE' (User-Centered, Sustainable, Equitable), software developm
Externí odkaz:
http://arxiv.org/abs/2402.02824
Autor:
Duque, Alejandro, Syed, Abdullah, Day, Kastan V., Berry, Matthew J., Katz, Daniel S., Kindratenko, Volodymyr V.
The recent development of large language models (LLMs) with multi-billion parameters, coupled with the creation of user-friendly application programming interfaces (APIs), has paved the way for automatically generating and executing code in response
Externí odkaz:
http://arxiv.org/abs/2312.07711
Autor:
Feickert, Matthew, Katz, Daniel S., Neubauer, Mark S., Sexton-Kennedy, Elizabeth, Stewart, Graeme A.
In November 2022, the HEP Software Foundation and the Institute for Research and Innovation for Software in High-Energy Physics organized a workshop on the topic of Software Citation and Recognition in HEP. The goal of the workshop was to bring toget
Externí odkaz:
http://arxiv.org/abs/2309.14571
Autor:
Watson, Gregory R., Malviya-Thakur, Addi, Katz, Daniel S., Raybourn, Elaine M., Hoffman, Bill, Robinson, Dana, Kellerman, John, Roundy, Clark
Research software plays a crucial role in advancing scientific knowledge, but ensuring its sustainability, maintainability, and long-term viability is an ongoing challenge. The Sustainable Research Software Institute (SRSI) Model has been designed to
Externí odkaz:
http://arxiv.org/abs/2308.14954
Autor:
Watson, Gregory R., Malviya-Thakur, Addi, Katz, Daniel S., Raybourn, Elaine M., Hoffman, Bill, Robinson, Dana, Kellerman, John, Roundy, Clark
Research software plays a crucial role in advancing scientific knowledge, but ensuring its sustainability, maintainability, and long-term viability is an ongoing challenge. To address these concerns, the Sustainable Research Software Institute (SRSI)
Externí odkaz:
http://arxiv.org/abs/2308.14953
Autor:
Katz, Daniel S., Hettrick, Simon
This position paper for an invited talk on the "Future of eScience" discusses the Research Software Engineering Movement and where it might be in 2030. Because of the authors' experiences, it is aimed globally but with examples that focus on the Unit
Externí odkaz:
http://arxiv.org/abs/2308.07796