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We apply a source code transformation that updates the source code with the generated adjustable parameter values and executes the compiler to create a new binary image of the application.
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In this paper we introduce Simplicissimus, a framework for rewrite-based source code transformations that allows for code replacement in a systematic and safe manner.
It only exists for technical reasons of defining source code transformations.
We illustrate the use of our approach when designing application-specific hardware architectures generated by a toolchain composed of high-level source-code transformation and synthesis tools.
This work proposes an algorithm that, given a constructive synchronous Esterel program, performs a semantics-preserving source code level transformation that removes cyclic signal dependencies.
The code coverage preservation can be applied on any type of code transformation, for example, on a source-to-source transformer or a compiler.
Energy aware compilers analyze software programs at run time and reshape software source code by applying several green aspects during code transformation.
We first propose the transformation of the source code generated from data-flow designs into the Static Single Assignment (SSA) form; then we describe the algorithm to automatically translate the SSA form into a testability model.
This process starts with the transformation of the source code into a KDM instance, using the user interface information extracted from the system.
Traditional design techniques for embedded systems apply transformations on the source code to optimize hardware-related cost factors.
It distributes source code of software over a network, reshapes binary code by applying green strategies during code transformation at compile time and gives green suggestion to software programmer for energy conservation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com