Chapter 4a: Brandon Chisholm, Chris Barile

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Automatic Parallelism is the process of automatically converting sequential code into code that will make use of multiple processors. One main reason for implementing automatic parallelism is to save time and energy compared to converting the code manually.<ref name="wiki" /> There are several techniques that have been created for parallelizing code, but each has limitations.

Techniques

Profile-Driven Parallelism

Polyhedral Transformation

Automatic Program Exploration

Scalar and Array Analysis

Commutativity Analysis

Low Level Virtual Machine

Limitations

Notes

References

<references> <ref name="chia">http://www.eecs.berkeley.edu/%7Echiayuan/cs262a/cs262a_parallel.pdf</ref> <ref name="dipa">http://www.csc.villanova.edu/%7Etway/publications/DiPasquale_Masplas05_Paper5.pdf</ref> <ref name="wiki">http://en.wikipedia.org/wiki/Automatic_parallelization</ref> </references>