Empirical Measurements of Six Allocation-Intensive C Programs

25Citations
Citations of this article
14Readers
Mendeley users who have this article in their library.

Abstract

Dynamic memory management is an important part of a large class of computer programs and high-performance algorithms for dynamic memory management have been, and will continue to be, of considerable interest. This paper presents empirical data from a collection of six allocation-intensive C programs. Extensive statistics about the allocation behavior of the programs measured, including the distributions of object sizes, lifetimes, and interarrival times, are presented. This data is valuable for the following reasons: first, the data from these programs can be used to design high-performance algorithms for dynamic memory management. Second, these programs can be used as a benchmark test suite for evaluating and comparing the performance of different dynamic memory management algorithms. Finally, the data presented gives readers greater insight into the storage allocation patterns of a broad range of programs. The data presented in this paper is an abbreviated version of more extensive statistics that are publically available on the internet. © 1992, ACM. All rights reserved.

Cite

CITATION STYLE

APA

Zorn, B., & Grunwald, D. (1992). Empirical Measurements of Six Allocation-Intensive C Programs. ACM SIGPLAN Notices, 27(12), 71–80. https://doi.org/10.1145/142181.142200

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free