Program Partitioning for a Control/data Driven Computer Program Partitioning for a Control/data Driven Computer ?
نویسنده
چکیده
The paper examines the problem of dataaow graph partitioning aiming to improve the eeciency of macro-dataaow computing on a hybrid control/data driven architecture. The partitioning consists of dataaow graph synchronization and scheduling of the synchronous graph. A new scheduling algorithm, called Global Arc Minimization (GAM), is introduced. The performance of the GAM algorithm is evaluated relative to some other known heuris-tic methods for static scheduling. When interprocessor communication delays are taken into account, the GAM algorithm achieves better performance on the simulated hybrid architecture.
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