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Ȩ Ȩ > ¿¬±¸¹®Çå > ¿µ¹® ³í¹®Áö > JIPS (Çѱ¹Á¤º¸Ã³¸®ÇÐȸ)

JIPS (Çѱ¹Á¤º¸Ã³¸®ÇÐȸ)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) The Accuracy of the Non-continuous I Test for One- Dimensional Arrays with References Created by Induction Variables
¿µ¹®Á¦¸ñ(English Title) The Accuracy of the Non-continuous I Test for One- Dimensional Arrays with References Created by Induction Variables
ÀúÀÚ(Author) Qing Zhang  
¿ø¹®¼ö·Ïó(Citation) VOL 10 NO. 04 PP. 0523 ~ 0542 (2014. 12)
Çѱ۳»¿ë
(Korean Abstract)
¿µ¹®³»¿ë
(English Abstract)
One-dimensional arrays with subscripts formed by induction variables in real programs appear quite frequently. For most famous data dependence testing methods, checking if integer-valued solutions exist for one-dimensional arrays with references created by induction variable is very difficult. The I test, which is a refined combination of the GCD and Banerjee tests, is an efficient and precise data dependence testing technique to compute if integer-valued solutions exist for one-dimensional arrays with constant bounds and single increments. In this paper, the non-continuous I test, which is an extension of the I test, is proposed to figure out whether there are integer-valued solutions for one-dimensional arrays with constant bounds and non-sing ularincrements or not. Experiments with the benchmarks that have been cited from Livermore and Vector Loop, reveal that there are definitive results for 67 pairs of one- dimensional arrays that were tested.
Å°¿öµå(Keyword) Data Dependence Analysis   Loop Parallelization   Loop Vectorization   Parallelizing/Vectorizing Compliers  
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