Heap Profiling for Space Efficiency

Heap Profiling for Space Efficiency (1996)

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by Colin Runciman , Niklas Röjemo

Venue:	2nd Intl. School on Advanced Functional Programming
Citations:	6 - 3 self

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Datum	Value	Source
TITLE	Heap Profiling for Space Efficiency	user correction - Legacy Corrections
AUTHOR NAME	Colin Runciman	user correction - Legacy Corrections
AUTHOR AFFIL	Department of Computer Science, University of York,; Heslington, York	user correction - Legacy Corrections
AUTHOR ADDR	YO1 5DD, UK	user correction - Legacy Corrections
AUTHOR NAME	Niklas Röjemo	user correction - Legacy Corrections
AUTHOR AFFIL	Department of Computer Science, University of York,; Heslington, York	user correction - Legacy Corrections
AUTHOR ADDR	YO1 5DD, UK	user correction - Legacy Corrections
ABSTRACT	Introduction Excessive requirements for memory space have in the past hindered or even prevented otherwise attractive applications of functional programming. Although this could be blamed in part on space-hungry implementation methods, in most cases it would have been possible to cut memory requirements very significantly by making a few changes to the source program. But there were no tools to help programmers make appropriate changes. Usage of heap memory was reported only as a total volume of allocations; there was no way to investigate how different parts of a program made demands on heap memory --- something which may be far from apparent in the source of a sizable program making use of lazy evaluation and higher-order functions. Finding the appropriate place to make a space-saving change could be very difficult. In the last few years, there has been a renewed effort to provide appropriate profiling tools for functional programmers. Because the first aspect of performance	user correction - Legacy Corrections
YEAR	1996	INFERENCE
VENUE	2nd Intl. School on Advanced Functional Programming	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	159--183	INFERENCE
VOLUME	1129	INFERENCE
CITATIONS	11 found	ParsCit 1.0