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Application of Arithmetic Coding to Compression of VLSI Test Data
September 2005 (vol. 54 no. 9)
pp. 1166-1177
ASCII Text
x 
 
Hamidreza Hashempour, Fabrizio Lombardi, "Application of Arithmetic Coding to Compression of VLSI Test Data," IEEE Transactions on Computers, vol. 54, no. 9, pp. 1166-1177, September, 2005.
 
 
BibTex
x
 
@article{ 10.1109/TC.2005.136,
author = {Hamidreza Hashempour and Fabrizio Lombardi},
title = {Application of Arithmetic Coding to Compression of VLSI Test Data},
journal ={IEEE Transactions on Computers},
volume = {54},
number = {9},
issn = {0018-9340},
year = {2005},
pages = {1166-1177},
doi = {http://doi.ieeecomputersociety.org/10.1109/TC.2005.136},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Computers
TI - Application of Arithmetic Coding to Compression of VLSI Test Data
IS - 9
SN - 0018-9340
SP1166
EP1177
EPD - 1166-1177
A1 - Hamidreza Hashempour,
A1 - Fabrizio Lombardi,
PY - 2005
KW - Index Terms- Test data compression
KW - Golomb coding
KW - Huffman coding
KW - arithmetic coding
KW - SoC
KW - ATE.
VL - 54
JA - IEEE Transactions on Computers
ER -
 
This paper proposes arithmetic coding for application to data compression for VLSI testing. The use of arithmetic codes results in a codeword whose length is close to the optimal value (as predicted by entropy in information theory), thus achieving a higher compression. Previous techniques (such as those based on Huffman or Golomb coding) result in optimal codes for data sets in which the probability model of the symbols satisfies specific requirements. This paper shows empirically and analytically that Huffman and Golomb codes can result in a large difference between the bound established by the entropy and the attained compression; therefore, the worst-case difference is studied using information theory. Compression results for arithmetic coding are presented using ISCAS benchmark circuits; a practical integer implementation of arithmetic coding/decoding and an analysis of its deviation from the entropy bound are pursued. A software implementation is proposed using embedded DSP cores. In the experimental evaluation, fully specified test vectors and test cubes from two different ATPG programs are utilized. The implications of arithmetic coding on manufacturing test using an ATE are also investigated.

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Index Terms:
Index Terms- Test data compression, Golomb coding, Huffman coding, arithmetic coding, SoC, ATE.
Citation:
Hamidreza Hashempour, Fabrizio Lombardi, "Application of Arithmetic Coding to Compression of VLSI Test Data," IEEE Transactions on Computers, vol. 54, no. 9, pp. 1166-1177, Sept. 2005, doi:10.1109/TC.2005.136
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