A review of serverless use cases and their characteristics

S Eismann, J Scheuner, E Van Eyk… - arxiv preprint arxiv …, 2020 - arxiv.org
The serverless computing paradigm promises many desirable properties for cloud
applications-low-cost, fine-grained deployment, and management-free operation …

A terminology for in situ visualization and analysis systems

H Childs, SD Ahern, J Ahrens… - … Journal of High …, 2020 - journals.sagepub.com
The term “in situ processing” has evolved over the last decade to mean both a specific
strategy for visualizing and analyzing data and an umbrella term for a processing paradigm …

Simulation intelligence: Towards a new generation of scientific methods

A Lavin, D Krakauer, H Zenil, J Gottschlich… - arxiv preprint arxiv …, 2021 - arxiv.org
The original" Seven Motifs" set forth a roadmap of essential methods for the field of scientific
computing, where a motif is an algorithmic method that captures a pattern of computation …

[КНИГА][B] Reproducibility and replicability in science

National Academies of Sciences, Medicine, Policy… - 2019 - books.google.com
One of the pathways by which the scientific community confirms the validity of a new
scientific discovery is by repeating the research that produced it. When a scientific effort fails …

Oblivm: A programming framework for secure computation

C Liu, XS Wang, K Nayak, Y Huang… - 2015 IEEE Symposium …, 2015 - ieeexplore.ieee.org
We design and develop ObliVM, a programming framework for secure computation. ObliVM
offers a domain specific language designed for compilation of programs into efficient …

Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows

D Balouek-Thomert, EG Renart… - … Journal of High …, 2019 - journals.sagepub.com
Dramatic changes in the technology landscape marked by increasing scales and
pervasiveness of compute and data have resulted in the proliferation of edge applications …

FAIR computational workflows

C Goble, S Cohen-Boulakia, S Soiland-Reyes… - Data …, 2020 - direct.mit.edu
Computational workflows describe the complex multi-step methods that are used for data
collection, data preparation, analytics, predictive modelling, and simulation that lead to new …

A community roadmap for scientific workflows research and development

RF Da Silva, H Casanova, K Chard… - … IEEE Workshop on …, 2021 - ieeexplore.ieee.org
The landscape of workflow systems for scientific applications is notoriously convoluted with
hundreds of seemingly equivalent workflow systems, many isolated research claims, and a …

A perspective on digital knowledge representation in materials science and engineering

B Bayerlein, T Hanke, T Muth, J Riedel… - Advanced …, 2022 - Wiley Online Library
The amount of data generated worldwide is constantly increasing. These data come from a
wide variety of sources and systems, are processed differently, have a multitude of formats …

Application of classical and advanced machine learning models to predict personality on social media

P Sánchez-Fernández, LGB Ruiz… - Expert Systems with …, 2023 - Elsevier
Knowing personality traits and how people tend to think, feel and behave has been always
an appealing and studied topic. This interest together with the vast amount of data …