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https://dx.doi.org/10.18419/op...
Master thesis . 2019
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Skilled LLVM

Authors: Pfister, Daniel;
Abstract

SKilL ist ein quelloffenes System für die plattform- und sprachunabhängige Serialisierung von Zwischendarstellungen. Es besteht aus einer Spezifikationssprache, einem binären Dateiformat und einem Werkzeug zur Generierung von Programmierschnittstellen. Das LLVM-Projekt ist eine quelloffene Infrastruktur für die Entwicklung von Compilern. Einen Teil dieses Projekts bilden die LLVM-Core-Bibliotheken, welche auf Basis einer Zwischendarstellung (LLVM-IR) Algorithmen zur Analyse, Optimierung und Codegenerierung bereitstellen. Da diese Bibliotheken in C++ geschrieben sind, kann es schwer sein, LLVM-IR in Programmiersprachen zu bearbeiten, für die es keine offizielle Sprachanbindung gibt, wie beispielsweise Java oder Scala. In dieser Masterarbeit wird untersucht, wie gut sich eine SKilL-basierte Darstellung für die Verwendung von LLVM-IR eignet.

SKilL is an open source system for the platform- and language-independent serialization of intermediate representations. It consists of a specification language, a binary data format and a tool for generating language bindings. The LLVM project is an open source infrastructure for the development of compilers. The project contains the LLVM Core Libraries that provide algorithms for analysis, optimization and code generation based on an intermediate representation (LLVM IR). As these libraries are written in C++, it might be hard to use LLVM IR in programming languages, for which no official language binding exists, for instance Java or Scala. This master thesis investigates how suitable a SKilL-based representation is for using LLVM IR.

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Germany
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Keywords

020, 004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green