University of New Mexico
Stella: A Python-based Domain-Specific Language for Simulations
Abstract
dc:description.abstractStella is a domain-specific language that (1) has single thread performance competitive with low-level languages, (2) supports object-oriented programming (OOP) to properly structure the code, and (3) is very easy to use. Instead of prototyping in a high-level language and then rewriting in a lower-level language, Stella is embedded in Python, is transparently usable, retains some OOP features, compiles to machine code, and executes at speed similar to C. Stella's source code is compatible with Python, and allows easy integration of C libraries. Its features are focused on the needs of scientific simulations. Other projects to speed up Python focus on easy integration, and smaller critical sections. In contrast, Stella supports translating larger programs in their entirety, and does not allow interaction with the Python run-time, to ensure predictable performance. My experience developing Stella shows that by carefully selecting language features, high run-time performance can be achieved in a high-level language that has in practice very few restrictions.
Degree
thesis:*- Name thesis:degree_name
- Computer Science
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Department of Computer Science
- Year
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Mohr, David
- Contributors dc:contributor
-
- Stefanovic, Darko
- Hermenegildo, Manuel
- Tapia, Lydia
- Lakin, Matthew
Subjects
dc:subject × 4Rights
- Language dc:language
- English
Identifiers
dc:identifier.*- Identifier
- https://digitalrepository.unm.edu/cs_etds/12
- OAI identifier oai:identifier
- oai:digitalrepository.unm.edu:cs_etds-1011