Direct parallelization of call statements
SIGPLAN '86 Proceedings of the 1986 SIGPLAN symposium on Compiler construction
A practical algorithm for exact array dependence analysis
Communications of the ACM
Dependence Analysis for Supercomputing
Dependence Analysis for Supercomputing
High Performance Compilers for Parallel Computing
High Performance Compilers for Parallel Computing
The range test: a dependence test for symbolic, non-linear expressions
Proceedings of the 1994 ACM/IEEE conference on Supercomputing
An Efficient Data Dependence Analysis for Parallelizing Compilers
IEEE Transactions on Parallel and Distributed Systems
An Empirical Study of Fortran Programs for Parallelizing Compilers
IEEE Transactions on Parallel and Distributed Systems
The I Test: An Improved Dependence Test for Automatic Parallelization and Vectorization
IEEE Transactions on Parallel and Distributed Systems
The Power Test for Data Dependence
IEEE Transactions on Parallel and Distributed Systems
Performance Analysis of Parallelizing Compilers on the Perfect Benchmarks Programs
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Parallel and Distributed Systems
ICS '98 Proceedings of the 12th international conference on Supercomputing
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In this paper, we generalize the 驴 test. The generalized 驴 test can be applied towards determining whether there exist data dependences for coupled arrays with both constant and variable limits under any given direction vectors, improving the applicable range of the 驴 test. Experimental data reflecting the effect of the generalized 驴 test are also presented.