Towards polyglot adapters for the GraalVM

Niephaus, Fabio; Felgentreff, Tim; Hirschfeld, Robert

doi:10.1145/3328433.3328458

Cited by 13 publications

(6 citation statements)

References 2 publications

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“…The QL and Funcons-beta prototypes support stepwise debugging in this way. Some computational notebooks enable polyglot programming in which multiple object languages are used simultaneously [40,43,53]. Being able to apply multiple languages within the same exploration session is considered desirable [7].…”

Section: Discussionmentioning

confidence: 99%

A Language-Parametric Approach to Exploratory Programming Environments

Binsbergen

Frölich

Merino

et al. 2022

Proceedings of the 15th ACM SIGPLAN International Conference on Software Language Engineering

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Exploratory programming is a software development style in which code is a medium for prototyping ideas and solutions, and in which even the end-goal can evolve over time. Exploratory programming is valuable in various contexts such as programming education, data science, and end-user programming. However, there is a lack of appropriate tooling and language design principles to support exploratory programming. This paper presents a host language-and object language-independent protocol for exploratory programming akin to the Language Server Protocol. The protocol serves as a basis to develop novel (or extend existing) programming environments for exploratory programming such as computational notebooks and command-line REPLs. An architecture is presented on top of which prototype environments can be developed with relative ease, because existing (language) components can be reused. Our prototypes demonstrate that the proposed protocol is sufficiently expressive to support exploratory programming scenarios as encountered in literature within the software engineering, human-computer interaction and data science domains.

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Section: Discussionmentioning

confidence: 99%

A Language-Parametric Approach to Exploratory Programming Environments

Binsbergen

Frölich

Merino

et al. 2022

Proceedings of the 15th ACM SIGPLAN International Conference on Software Language Engineering

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“…A key element in our data-science based approach for developing comparable age-depth correlations was to facilitate the use of modeling systems independent from their original proprietary development environment. A 95 multi-language data analysis environment, such as the SoS notebook (Peng et al, 2018) or GraalVM (Niephaus et al, 2019), provides an interface that enables the comparison of modeling systems without being limited to one programming language or environment. Our implementation used the SoS notebook as its backbone.…”

Section: Methodsmentioning

confidence: 99%

Improving age-depth correlations by using the LANDO model ensemble

Pfalz

Diekmann

Freytag

et al. 2021

Preprint

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Abstract. Age-depth correlations are the key elements in paleoenvironmental studies to place proxy measurements into a temporal context. However, potential influencing factors of the available radiocarbon data and the associated modeling process can cause serious divergences of age-depth correlations from true chronologies, which is particularly challenging for paleolimnological studies in Arctic regions. This paper provides geoscientists with a tool-assisted approach to compare outputs from age-depth modeling systems and to strengthen the robustness of age-depth correlations. We primarily focused in the development on age determination data from a data collection of high latitude lake systems (50° N to 90° N, 62 sediment cores, and a total of 661 dating points). Our approach used five age-depth modeling systems (Bacon, Bchron, clam, hamstr, Undatable) that we linked through a multi-language Jupyter Notebook called LANDO (“Linked age and depth modeling”). Within LANDO we have implemented a pipeline from data integration to model comparison to allow users to investigate the outputs of the modeling systems. In this paper, we focused on highlighting three different case studies: comparing multiple modeling systems for one sediment core with a continuous, undisturbed succession of dating points (CS1 - “Undisturbed sequence”), for one sediment core with scattered dating points (CS2 - “Inconsistent sequence”), and for multiple sediment cores (CS3 - “Multiple cores”). For the first case study (CS1), we showed how we facilitate the output data from all modeling systems to create an ensemble age-depth model. In the special case of scattered dating points (CS2), we introduced an adapted method that uses independent proxy data to assess the performance of each modeling system in representing lithological changes. Based on this evaluation, we reproduced the characteristics of an existing age-depth model (Lake Ilirney, EN18208) without removing age determination data. For the multiple sediment core (CS3) we found that when considering the Pleistocene-Holocene transition, the main regime changes in sedimentation rates do not occur synchronously for all lakes. We linked this behavior to the uncertainty within the modeling process as well as the local variability of the sediment cores within the collection.

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“…Renjin (Bertram, 2013) is a great effort for interfacing R from within Java using a different perspective: Writing R from scratch in Java! GraalVM (Niephaus et al, 2019) is an other admirable attempt for interfacing Python and R in Java with its polyglot design. Many tools and software packages are developed for interfacing R and Java.…”

Section: State Of the Fieldmentioning

confidence: 99%