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* [https://dl.acm.org/doi/10.1155/1999/304639 Vienna Fortran compiler]
Recently, Aubert, Rubiano, Rusch, and [[Thomas Seiller|Seiller]]
|last3=Rusch |first3=Neea |last4=Seiller |first4=Thomas |chapter= Distributing and Parallelizing Non-canonical Loops |title= Verification, Model Checking, and Abstract Interpretation |series=Lecture Notes in Computer Science |date=2023 |volume=13881 |pages=91–108 |doi=10.1007/978-3-031-24950-1_1 }}</ref> used a dependency analysis technique <ref>{{cite book |last1=Moyen |first1=Jean-Yves |last2=Rubiano |first2=Thomas |last3=Seiller |first3=Thomas |chapter=Loop Quasi-Invariant Chunk Detection |title=Automated Technology for Verification and Analysis |series=Lecture Notes in Computer Science |date=2017 |volume=10482 |pages=91–108 |doi=10.1007/978-3-319-68167-2_7|isbn=978-3-319-68166-5 }}</ref> to automatically parallelise loops in [[C (programming language)|C]] code.
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{{DEFAULTSORT:Automatic Parallelization}}
[[Category:Articles with example Fortran code]]
[[Category:Compiler optimizations]]
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