Automating engineering with a domain-specific language and a code generator

We introduce PVSC-DTM (Parallel Vectorized Stencil Code for Dirac and Topological Materials), a library and code generator based on a domain-specific language tailored to implement the specific stencil-like algorithms that can describe Dirac and topological materials such as graphene and topological insulators in a matrix-free way. The generated hybrid-parallel (MPI+OpenMP) code is fully vectorized using Single Instruction Multiple Data (SIMD) extensions. It is significantly faster than matrix-based approaches on the node level and performs in accordance with the roofline model. We demonstrate the chip-level performance and distributed-memory scalability of basic building blocks such as sparse matrix-(multiple-) vector multiplication on modern multicore CPUs. As an application example, we use the PVSC-DTM scheme to (i) explore the scattering of a Dirac wave on an array of gate-defined quantum dots, to (ii) calculate a bunch of interior eigenvalues for strong topological insulators, and to (iii) discuss the photoemission spectra of a disordered Weyl semimetal.

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A domain-specific language for defining static structure of database applications

Computer Science and Information Systems ◽

10.2298/csis090203002d ◽

2010 ◽

Vol 7 (3) ◽

pp. 409-440 ◽

Cited By ~ 8

Author(s):

Igor Dejanovic ◽

Gordana Milosavljevic ◽

Branko Perisic ◽

Maja Tumbas

Keyword(s):

Source Code ◽

Domain Specific Language ◽

Static Structure ◽

Code Generator ◽

Specific Language ◽

Meta Model ◽

Model Driven ◽

Domain Specific ◽

Definition Of ◽

Execution Semantics

In this paper we present DOMMLite - an extensible domain specific language (DSL) for static structure definition of data base oriented applications. The model-driven engineering (MDE) approach, an emerging software development paradigm, has been used. The language structure is defined by the means of a meta model supplemented by validation rules based on Check language and extensions based on Extend language, which are parts of the openArchitectureWare framework [1]. The meta model has been defined along with the textual syntax, which enables creation, update and persistence of DOMMLite models using a common text editor. DSL execution semantics has been defined by the specification and implementation of the source code generator for a target platform with an already defined execution semantics. In order to enable model editing, a textual Eclipse editor has also been developed. DSL, defined in this way, has the capability of generating complete source code for GUI forms with CRUDS (Create-Read-Update-Delete-Search) and navigation operations [2,3,4,5].

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PyFlies: A Domain-Specific Language for Designing Experiments in Psychology

Applied Sciences ◽

10.3390/app11177823 ◽

2021 ◽

Vol 11 (17) ◽

pp. 7823

Author(s):

Igor Dejanović ◽

Mirjana Dejanović ◽

Jovana Vidaković ◽

Siniša Nikolić

Keyword(s):

Programming Languages ◽

Flanker Task ◽

General Purpose ◽

Domain Specific Language ◽

Code Generator ◽

Specific Language ◽

Domain Specific ◽

Programming Skills ◽

Textual Form

The majority of studies in psychology are nowadays performed using computers. In the past, access to good quality software was limited, but in the last two decades things have changed and today we have an array of good and easily accessible open-source software to choose from. However, experiment builders are either GUI-centric or based on general-purpose programming languages which require programming skills. In this paper, we investigate an approach based on domain-specific languages which enables a text-based experiment development using domain-specific concepts, enabling practitioners with limited or no programming skills to develop psychology tests. To investigate our approach, we created PyFlies, a domain-specific language for designing experiments in psychology, which we present in this paper. The language is tailored for the domain of psychological studies. The aim is to capture the essence of the experiment design in a concise and highly readable textual form. The editor for the language is built as an extension for Visual Studio Code, one of the most popular programming editors today. From the experiment description, various targets can be automatically produced. In this version, we provide a code generator for the PsychoPy library while generators for other target platforms are planned. We discuss the language, its concepts, syntax, some current limitations, and development directions. We investigate the language using a case study of the implementation of the Eriksen flanker task.

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A MDSD Approach for Adaptable Service Oriented Systems based on Domain Specific Language Engineering

International Journal of Adaptive Resilient and Autonomic Systems ◽

10.4018/ijaras.2016010101 ◽

2016 ◽

Vol 7 (1) ◽

pp. 1-25

Author(s):

Mohammed Lethrech ◽

Adil Kenzi ◽

Issam Elmagrouni ◽

Mahmoud Nassar ◽

Abdelaziz Kriouile

Keyword(s):

Domain Specific Language ◽

Context Aware ◽

Context Model ◽

Code Generator ◽

Language Engineering ◽

Specific Language ◽

Domain Specific ◽

Service Oriented ◽

Final Code ◽

Variability Model

The simultaneous use of the new computing paradigms: Domain Specific Modeling, Context Oriented Computing and Service Oriented Computing, raises many challenges. Particularly, the challenge of engineering such systems, which consists of the definition of modeling approaches, processes, techniques and tools to facilitate their construction. The proposed MDSD approach for context-aware service oriented systems is based on Domain Specific Language Engineering. The Context-Aware, Domain Specific and Service Oriented (CADSSO) development approach is based on five models. The first one is domain specific context model; it symbolizes the services context of use. The second is domain specific services model; it takes care of services modeling. The third is service variability model; it formulates services variants. The fourth is adaptation rules model, which is the joint between service variability model and context model. The fifth is business rules model, used to model domain business. A code generator is in charge of the transformation of the five models to the final code.

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