DocumentCode :
3013929
Title :
A quantitative analysis for optimizing memory allocation
Author :
Hong, Youn-Sik ; Cho, Choong-Nee ; Gajski, Daniel D.
Author_Institution :
Dept. of Comput. Sci., Inchon Univ., South Korea
fYear :
1997
fDate :
28-31 Jan 1997
Firstpage :
239
Lastpage :
245
Abstract :
Memory allocation problem has two independent goals: minimization of number of memories and minimization of number of registers in one memory. Our concern is the ordering of bindings during memory allocation. We formulate and analyze three different memory allocation algorithms by changing their binding order. It is shown that when we combine these subtasks and solve them simultaneously by heuristic cost function significant savings (up to 20%) can be obtained in the total area of memories
Keywords :
integrated memory circuits; memory architecture; optimisation; heuristic cost function; memory allocation; ordering of bindings; quantitative analysis; registers; subtasks; total area of memories; Algorithm design and analysis; Computer science; Constraint optimization; Cost function; Registers; Silicon; Simultaneous localization and mapping; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference, 1997. Proceedings of the ASP-DAC '97 Asia and South Pacific
Conference_Location :
Chiba
Print_ISBN :
0-7803-3662-3
Type :
conf
DOI :
10.1109/ASPDAC.1997.600131
Filename :
600131
Link To Document :
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