Synergies in Scientific Computing by Combining Multi-Paradigmatic Languages
نویسندگان
چکیده
In recent years run-time languages such as Python have enjoyed a growing community of developers in several programming areas, e.g., scientific computing. The multi-paradigm approach of Python is certainly one of the major advantages as well as its simple syntax and semantics. Rapid prototyping is thereby possible. As major deficiency remains, the low overall performance, especially in the area of scientific computing. We therefore developed a link between the multi-paradigm Python and a high performance multi-paradigm environment in C++.
منابع مشابه
Synergies in scientific computing by combining multi-paradigmatic languages for high-performance applications
The challenging art of multi-paradigmatic application development, which only few languages currently support, greatly aids the development of highly efficient and reusable software components. A link of two such languages, namely Python and Cþþ , is presented. Thereby data structures and algorithms realised in Cþþ using features such as compile-time meta-programming are made available to the r...
متن کاملMirror Neurons and (Inter)subjectivity: Typological Evidence from East Asian Languages
Language is primarily constituted by action and interaction based on sensorimotor information. This paper demonstrates the nature of subjectivity and intersubjectivity through the neural mechanism and typological evidence of sentence-final particles from East Asian languages and extends to the discussion of the relationship between them. I propose that intersubjecivity is a kind of embedded or ...
متن کاملCOMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS FOR SOFT COMPUTING
This paper will introduce a new method to obtain the order weightsof the Ordered Weighted Averaging (OWA) operator. We will first show therelation between fuzzy quantifiers and neat OWA operators and then offer anew combination of them. Fuzzy quantifiers are applied for soft computingin modeling the optimism degree of the decision maker. In using neat operators,the ordering of the inputs is not...
متن کاملParallel computing using MPI and OpenMP on self-configured platform, UMZHPC.
Parallel computing is a topic of interest for a broad scientific community since it facilitates many time-consuming algorithms in different application domains.In this paper, we introduce a novel platform for parallel computing by using MPI and OpenMP programming languages based on set of networked PCs. UMZHPC is a free Linux-based parallel computing infrastructure that has been developed to cr...
متن کاملGROBID: Combining Automatic Bibliographic Data Recognition and Term Extraction for Scholarship Publications
Based on state of the art machine learning techniques, GROBID (GeneRation Of BIbliographic Data) performs reliable bibliographic data extractions from scholar articles combined with multi-level term extractions. These two types of extraction present synergies and correspond to complementary descriptions of an article. This tool is viewed as a component for enhancing the existing and the future ...
متن کامل