source: doc/theses/thierry/text/frontpgs.tex @ f4e3419d

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        \Huge
        {\bf Concurrency in \CFA}

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        \normalsize
        by \\

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        \Large
        Thierry Delisle \\

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        \normalsize
        A thesis \\
        presented to the University of Waterloo \\
        in fulfillment of the \\
        thesis requirement for the degree of \\
        Master of Mathematics \\
        in \\
        Computer Science \\

        \vspace*{2.0cm}

        Waterloo, Ontario, Canada, 2018 \\

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        \copyright\ Thierry Delisle 2018 \\
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% D E C L A R A T I O N   P A G E
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  % The following is the sample Delaration Page as provided by the GSO
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%I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners.

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  \noindent

  I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners.


  I understand that my thesis may be made electronically available to the public.

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% A B S T R A C T
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\begin{center}\textbf{Abstract}\end{center}

\CFA is a modern, non-object-oriented extension of the C programming language. This thesis serves as a definition and an implementation for the concurrency and parallelism \CFA offers. These features are created from scratch due to the lack of concurrency in ISO C. Lightweight threads are introduced into the language. In addition, monitors are introduced as a high-level tool for control-flow based synchronization and mutual-exclusion. The main contributions of this thesis are two-fold: it extends the existing semantics of monitors introduce by~\cite{Hoare74} to handle monitors in groups and also details the engineering effort needed to introduce these features as core language features. Indeed, these features are added with respect to expectations of C programmers, and integrate with the \CFA type-system and other language features.


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\begin{center}\textbf{Acknowledgements}\end{center}

I would like to thank my supervisor, Professor Peter Buhr, for his guidance through my degree as well as the editing of this document.

I would like to thank Professors Martin Karsten and Gregor Richards, for reading my thesis and providing helpful feedback.

Thanks to Aaron Moss, Rob Schluntz and Andrew Beach for their work on the \CFA project as well as all the discussions which have helped me concretize the ideas in this thesis.

Finally, I acknowledge that this has been possible thanks to the financial help offered by the David R. Cheriton School of Computer Science and the corporate partnership with Huawei Ltd.

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