128 citations · 143 across the 6 of their papers we have counts for
6 papers
PyExaFMM: an exercise in designing high-performance software with Python and Numba
Srinath Kailasa, Tingyu Wang, Lorena A. Barba +1
Numba is a game-changing compiler for high-performance computing with Python. It produces machine code that runs outside of the single-threaded Python interpreter and that fully ut…
Reproducibility and Performance: Why Choose?
Ludovic Courtès
Research processes often rely on high-performance computing (HPC), but HPC is often seen as antithetical to "reproducibility": one would have to choose between software that achiev…
Digital Scientific Notations as a Human-Computer Interface in Computer-Aided Research
Konrad Hinsen
Most of today's scientific research relies on computers and software not only for administrational tasks, but also for processing scientific information. Examples of such computer-…
Sustainable computational science: the ReScience initiative
Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre +42
Computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and reproducing results, however computational science lags behind. In…
Scientific notations for the digital era
Konrad Hinsen
Computers have profoundly changed the way scientific research is done. Whereas the importance of computers as research tools is evident to everyone, the impact of the digital revol…
Protein secondary structure analysis with a coarse-grained model
Gerald R. Kneller, Konrad Hinsen
The paper presents a geometrical model for protein secondary structure analysis which uses only the positions of the -atoms. We construct a space curve connecting these positi…