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Therefore, a compilation framework for CMPs should consider multiple factors during the optimization process.
To cope with this situation, a compilation framework is presented that can transform text analytics queries into a hardware description.
We motivate, describe and justify such a practical design of a compilation framework for heterogeneous MPSoCs targeting the domain of streaming applications, named MAPS (MPSoC Application Programming Studio).
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The software package Qcompiler (Chen and Wang 2013) provides a general quantum compilation framework, which maps any given unitary operation into a quantum circuit consisting of a sequential set of elementary quantum gates.
In this paper, we present StreamTMC, an efficient stream compilation framework that optimizes the execution of stream applications for the tiled multi-core.
We have developed a prototype source-to-source compilation framework that utilizes PDL descriptors to transform sequential task-based programs with source code annotations into a form that is convenient for execution on heterogeneous many-core systems.
An LLVM compilation framework was researched and a prototype developed to enable the execution of OpenCL applications on a number of hardware configurations of the LE1 CMP.
The compilation framework is built using compilation and high-level synthesis techniques.
A retargetable source-to-source compiler is developed to provide key capabilities to construct practical compilation frameworks for real-world, complex MPSoC platforms.
Recently introduced JIT compilation frameworks advocate applying meta-compilation techniques such as partial evaluation or meta-tracing on simple interpreters to reduce the implementation effort.
A valuable model to inform this process is the NOURISHING framework, a compilation of worldwide policy actions prepared by the World Cancer Research Fund International to help policymakers identify population-specific approaches as well as areas of need around food policies for promoting healthy diets and reducing obesity and NCD [ 155].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com