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Measuring the cost of storage management
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Measuring the cost of storage management David Tarditi1  and Amer Diwan2 | (1) | School of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, 15213 Pittsburgh, PA |
| (2) | Department of Computer Science, University of Massachusetts, 01003 Amherst, MA |
Abstract We study the cost of storage management for garbage-collected programs compiled with the Standard ML of New Jersey compiler. We show that the cost of storage management is not the same as the time spent garbage collecting. For many of the programs, the time spent garbage collecting is less than the time spent doing other storage-management tasks. Keywords dynamic storage management - measurement techniques - applicative (functional) programming - copying garbage collection - Standard ML This research was sponsored by the Defense Advanced Research Projects Agency, DoD, through ARPA Order 8313, and monitored by ESD/AVS under contract F19628-91-C-0168. Views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Defense Advanced Research Projects Agency or the United States Government. David Tarditi was also supported by an AT&T PhD Scholarship. Amer Diwan was also supported by National Science Foundation Grant CCR-9211272.
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