Title :
Code Compression in ARM Embedded Systems Using Multiple Dictionaries
Author :
Dias, W.R.A. ; Moreno, E.D.
Author_Institution :
Inst. of Comput.-IComp Post-Grad. Program in Inf.-PPGI, Fed. Univ. of Amazonas-UFAM Manaus, Manaus, Brazil
Abstract :
This paper presents a new code compression method where we use different dictionaries, all of them are based in traditional Huffman algorithm. Our method reduces code size by up to 34.5% (including all extra costs) and presents an improvement of almost 7% over the traditional Huffman method. We performed simulations using Simple Scalar and analyzes using the applications from benchmark MiBench and use the embedded processor ARM.
Keywords :
Huffman codes; data compression; dictionaries; embedded systems; ARM embedded systems; Huffman algorithm; MiBench; code compression method; dictionaries; simple scalar; Analytical models; Benchmark testing; Decoding; Dictionaries; Embedded systems; Energy consumption; Memory management; Huffman; code compression; embedded systems; patterns blocks; size dictionaries;
Conference_Titel :
Computational Science and Engineering (CSE), 2012 IEEE 15th International Conference on
Conference_Location :
Nicosia
Print_ISBN :
978-1-4673-5165-2
Electronic_ISBN :
978-0-7695-4914-9
DOI :
10.1109/ICCSE.2012.36
