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This paper presents an experiment with a MDD approach, which takes platform-independent models and generates code for various platforms from them.
We designed a simple extension of the Java programming language that embodies the model, and developed a compiler that generates code for both multi-core CPUs and GPUs.
The paperʼs experiment generates code for the mobile platforms Android and iPhone from the same abstract functional model of a case study.
The system consists of a desktop design tool that generates code for the actual online editor, a native XML database, and an online user access management application.
As described, the CAL to HDL synthesis tool optimizes and generates code for each actor; no study has been done on actor partitioning for pipelining, which is the focus of this article.
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The meta web service understands the user's problem statement with ontology, performs web service discovery, web service composition, and automatically generates codes for composite web service execution.
This clean separation makes it easy to adapt the generated code for individual projects.
This paper addresses how to automatically generate code for multimedia extension architectures in the presence of conditionals.
Focused on the generated code for each case study, statistics depicted an improvement in number of lines using aspects.
This auto-encoder has the previously trained hidden layer as its input and tries to generate code for its input.
Developers can, however, use the Dart to JavaScript translator (which is also part of the SDK) to generate code for any browser.
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