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Compiling Gallina to go for the FSCQ file system

Author(s)
Ziegler, Daniel (Daniel M.)
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Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Nickolai Zeldovich and M. Frans Kaashoek.
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MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
Over the last decade, systems software verification has become increasingly practical. Many verified systems have been written in the language of a proof assistant, proved correct, and then made runnable using code extraction. However, due to the rigidity of extraction and the overhead of the target languages, the resulting code's CPU performance can suffer, with limited opportunity for optimization. This thesis contributes CoqGo, a proof-producing compiler from Coq's Gallina language to Go. We created Go', a stylized semantics of Go which enforce linearity, and implemented proof-producing compilation tactics from Gallina to Go' plus a straightforward translation from Go' to Go. Applying a prototype of CoqGo, we compiled a system call in the FSCQ file system, with minimal changes to FSCQ's source code. Taking advantage of the increased control given by CoqGo, we implemented three optimizations, bringing the system call's CPU performance to 19% faster than the extracted version.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Cataloged from student-submitted PDF version of thesis.
 
Includes bibliographical references (pages 85-87).
 
Date issued
2017
URI
http://hdl.handle.net/1721.1/113460
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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