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{{Short description|Method of improving computer program speed}}
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===Schedule===
The [[Scheduling (computing)|scheduler]] will list all the tasks and their dependencies on each other in terms of execution and start times
===Code
The [[Scheduling (computing)|scheduler]] will generate a list of all the tasks and the details of the cores on which they will execute along with the time that they will execute for. The code Generator will insert special constructs in the code that will be read during execution by the scheduler. These constructs will instruct the scheduler on which core a particular task will execute along with the start and end times.
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* [[SUIF]] compiler
* [https://dl.acm.org/doi/10.1155/1999/304639 Vienna Fortran compiler]
Recently, Aubert, Rubiano, Rusch, and [[Thomas Seiller|Seiller]]<ref>{{cite book |last1=Aubert |first1=Clément |last2=Rubiano |first2=Thomas
|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 |isbn=978-3-031-24949-5 }}</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.
==See also==
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{{DEFAULTSORT:Automatic Parallelization}}
[[Category:Articles with example Fortran code]]
[[Category:Compiler optimizations]]
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