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The Accuracy of the Non-continuous I Test for One-Dimensional Arrays with References Created by Induction Variables
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  • The Accuracy of the Non-continuous I Test for One-Dimensional Arrays with References Created by Induction Variables
  • The Accuracy of the Non-continuous I Test for One-Dimensional Arrays with References Created by Induction Variables
저자명
Zhang. Qing
간행물명
Journal of information processing systems
권/호정보
2014년|10권 4호|pp.523-542 (20 pages)
발행정보
한국정보처리학회
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정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

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.