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pro vyhledávání: '"Eigenmann, P A"'
In the contemporary landscape of computer architecture, the demand for efficient parallel programming persists, needing robust optimization techniques. Traditional optimizing compilers have historically been pivotal in this endeavor, adapting to the
Externí odkaz:
http://arxiv.org/abs/2406.12146
Autor:
Barakhshan, Parinaz, Eigenmann, Rudolf
High-quality computational and data-intensive (CDI) applications are critical for advancing research frontiers in almost all disciplines. Despite their importance, there is a significant gap due to the lack of comprehensive best practices for develop
Externí odkaz:
http://arxiv.org/abs/2406.01780
Autor:
Lepère, Muriel, Browet, Olivier, Clément, Jean, Vispoel, Bastien, Allmendinger, Pitt, Hayden, Jakob, Eigenmann, Florian, Hugi, Andreas, Mangold, Markus
Publikováno v:
Journal of Quantitative Spectroscopy and Radiative Transfer, Volume 287, 108239 (2022)
To meet the challenges of high-resolution molecular spectroscopy, increasingly sophisticated spectroscopic techniques were developed. For a long time FTIR and laser-based spectroscopies were used for these studies. The recent development of dual-comb
Externí odkaz:
http://arxiv.org/abs/2403.02720
Autor:
Pekaslan, Direnc, Alonso-Moral, Jose Maria, Bandara, Kasun, Bergmeir, Christoph, Bernabe-Moreno, Juan, Eigenmann, Robert, Einecke, Nils, Ergen, Selvi, Godahewa, Rakshitha, Hewamalage, Hansika, Lago, Jesus, Limmer, Steffen, Rebhan, Sven, Rabinovich, Boris, Rajapasksha, Dilini, Song, Heda, Wagner, Christian, Wu, Wenlong, Magdalena, Luis, Triguero, Isaac
This paper presents the real-world smart-meter dataset and offers an analysis of solutions derived from the Energy Prediction Technical Challenges, focusing primarily on two key competitions: the IEEE Computational Intelligence Society (IEEE-CIS) Tec
Externí odkaz:
http://arxiv.org/abs/2311.04007
Autor:
Paul J. Turner, Antonio Bognanni, Stefania Arasi, Ignacio J. Ansotegui, Sabine Schnadt, Sébastien La Vieille, Jonathan O’B. Hourihane, Torsten Zuberbier, Philippe Eigenmann, Motohiro Ebisawa, Mario Morais-Almeida, Julie Barnett, Bryan Martin, Linda Monaci, Graham Roberts, Gary Wong, Ruchi Gupta, Sophia Tsabouri, Clare Mills, Simon Brooke-Taylor, Joan Bartra, Michael Levin, Marion Groetch, Luciana Tanno, Elham Hossny, Barbara Ballmer Weber, Vincenzo Fierro, Ben Remington, Jennifer Gerdts, M. Hazel Gowland, Derek Chu, Marjan Van Ravenhorst, Jennifer Koplin, Alessandro Fiocchi
Publikováno v:
World Allergy Organization Journal, Vol 17, Iss 10, Pp 100972- (2024)
Background: Precautionary Allergen (“may contain”) Labelling (PAL) is used by industry to communicate potential risk to food-allergic individuals posed by unintended allergen presence (UAP). In 2014, the World Allergy Organization (WAO) highlight
Externí odkaz:
https://doaj.org/article/a19a1fad6169466bb0c7c84c39b0c562
Autor:
Barakhshan, Parinaz, Bhosale, Akshay, Kiruga, Amani, Eigenmann, Rudolf, Safronova, Marianna S., Arora, Bindiya
The Atom portal, udel.edu/atom, provides the scientific community with easily accessible high-quality data about properties of atoms and ions, such as energies, transition matrix elements, transition rates, radiative lifetimes, branching ratios, pola
Externí odkaz:
http://arxiv.org/abs/2212.10665
Autor:
Barakhshan, Parinaz, Eigenmann, Rudolf
We compare automatically and manually parallelized NAS Benchmarks in order to identify code sections that differ. We discuss opportunities for advancing automatic parallelizers. We find ten patterns that pose challenges for current parallelization te
Externí odkaz:
http://arxiv.org/abs/2212.00165
Autor:
Barakhshan, Parinaz, Eigenmann, Rudolf
We present best practices and tools for professionals who support computational and data intensive (CDI) research projects. The practices resulted from an initiative that brings together national projects and university teams that include individual
Externí odkaz:
http://arxiv.org/abs/2102.09373
Recent years have seen many advances in methods for causal structure learning from data. The empirical assessment of such methods, however, is much less developed. Motivated by this gap, we pose the following question: how can one assess, in a given
Externí odkaz:
http://arxiv.org/abs/2006.15387
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