We presented a new scheme for exact data dependence analysis, called interv
al reduction (IR) test in J. Sys. Software [2000;52(1):55-65]. This scheme
reduces the solution interval of each constraint variable in the dependence
equation by repeated projection. Once the effective solution interval of a
ny constraint variable shrinks to empty, this linear diophantine equation c
ontains no integer solution and the memory accesses subject to this constra
int are then independent. Otherwise, all the integer solutions can be enume
rated. IR test is an efficient and exact data dependence test method. In th
e original presentation, only general dependence is considered. If there ex
ists a dependence, we do not care what the direction vector is. In this pap
er, we extend the IR test to check the data dependence subject to an arbitr
ary direction vector. Experimental results are presented to show its effect
iveness compared to the omega test and power test. (C) 2001 Elsevier Scienc
e Ltd. All rights reserved.