Dependence driven execution for multiprogrammed multiprocessor
ICS '98 Proceedings of the 12th international conference on Supercomputing
SMARTS: exploiting temporal locality and parallelism through vertical execution
ICS '99 Proceedings of the 13th international conference on Supercomputing
Asynchronous Resource Management
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
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Abstract: The paper extends the framework of linear loop transformations adding a new nonlinear step at the transformation process. The current framework of linear loop transformation cannot identify a significant fraction of parallelism. For this reason, we present a method to complement it with some basic transformations in order to extract the maximum loop parallelism in perfect nested loops with tight recurrences in the dependence graph. The parallelizing algorithm solves the important problem of deciding the set of transformations to apply in order to maximize the degree of parallelism, the number of parallel loops within a loop nest, and presents a way of generating efficient transformed code that exploits coarse grain parallelism on a MIMD system.