When Sedgewick wrote the paper, compilers were unable to produce high-quality code and hand-optimization was important. Today the situation is reversed: compilers can often produce code that better exploits a specific architecture than people can. The project is divided into two parts. The purpose of these exercises is to engage the reader with the algorithm and its optimizations discussed in the paper.
The second part contains exercises guiding the reader to experimentally compare the original and modified versions of Quicksort. The project can be given as a two- or three-part homework assignment. It can be completed individually or in small groups in about two weeks. Download the project Striving for Efficiency in Algorithms: Sorting as a pdf file ready for classroom use. Download the modifiable Latex source file for this project.
Implementing Quicksort programs. Communications of the ACM, —, Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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Submit report Close. Recommended Articles Loading There are no references for this article. Read and print from thousands of top scholarly journals. Already have an account? Log in. A variety of special situations are considered from a practical standpoint to illustrate Quicksort's wide applicability as an internal sorting method which requires negligible extra storage. Implementing Quicksort Programs.
N2 - This paper is a practical study of how to implement the Quicksort sorting algorithm and its best variants on real computers, including how to apply various code optimization techniques. AB - This paper is a practical study of how to implement the Quicksort sorting algorithm and its best variants on real computers, including how to apply various code optimization techniques.
Overview Fingerprint. Abstract This paper is a practical study of how to implement the Quicksort sorting algorithm and its best variants on real computers, including how to apply various code optimization techniques.
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