On the accuracy of the Banerjee test
Journal of Parallel and Distributed Computing - Special issue on shared-memory multiprocessors
A practical algorithm for exact array dependence analysis
Communications of the ACM
Evaluation of programs and parallelizing compilers using dynamic analysis techniques
Evaluation of programs and parallelizing compilers using dynamic analysis techniques
Compiling for distributed memory multiprocessors based on access region analysis
Compiling for distributed memory multiprocessors based on access region analysis
On the Automatic Parallelization of the Perfect Benchmarks®
IEEE Transactions on Parallel and Distributed Systems
Nonlinear and Symbolic Data Dependence Testing
IEEE Transactions on Parallel and Distributed Systems
Parallel Computing
Data dependence analysis for array references
Journal of Systems and Software
Dependence Analysis
Loop Transformations for Restructuring Compilers: The Foundations
Loop Transformations for Restructuring Compilers: The Foundations
Dependence Analysis for Supercomputing
Dependence Analysis for Supercomputing
A multi-dimensional version of the I test
Parallel Computing
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
IEEE Transactions on Parallel and Distributed Systems
Data Dependence Testing in Practice
PACT '99 Proceedings of the 1999 International Conference on Parallel Architectures and Compilation Techniques
Interprocedural parallelization using memory classification analysis
Interprocedural parallelization using memory classification analysis
Analyses of pointers, induction variables, and container objects for dependence testing
Analyses of pointers, induction variables, and container objects for dependence testing
Hi-index | 0.00 |
In this paper, theoretical aspects to demonstrate the accuracy of the Interval Test (the I test and the direction vector I test) to be applied for resolving the problem stated above is presented. Also, it is proved from the proposed theoretical aspects that under a specific direction vector there are integer-valued solutions for one-dimensional arrays with subscripts formed by induction variable and under other specific direction vectors there are no integer-valued solutions. Experiments with benchmarks, cited from Parallel loop, Vector loop and TRFD (Perfect benchmark), reveal that our framework can properly enhance the precision of data dependence analysis for one-dimensional arrays with subscripts mentioned above.