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We consider distribution at compile time of the array data in a distributed-memory implementation of a data-parallel program written in a language like Fortran 90. We allow dynamic redistribution of data and define a heuristic algorithmic framework that chooses distribution parameters to minimize an estimate of program completion time. We represent the program as an alignment-distribution graph. We...
Alignment and distribution of array data should be managed by optimizing compilers for parallel computers, but current approaches to the distribution problem formulate it as an NP-complete graph optimization problem. The graphs arising in applications are large and difficult to optimize. In this paper, we improve some earlier results on methods that use graph contraction to reduce the size of a distribution...
Aggregate data objects (such as arrays) are distributed across the processor memories when compiling a data-parallel language for a distributed-memory machine. The mapping determines the amount of communication needed to bring operands of parallel operations into alignment with each other. A common approach is to break the mapping into two stages: analignmentthat maps all the objects to an abstract...
Parallel hashing is well-known in the folklore of parallel computing, but there has been a remarkable dearth of literature describing it in detail. Because many parallel algorithms such as histogramming, set intersection and dictionary lookup can make use of hashing as a core step, hashing is a fundamental parallel operation. This paper sheds light on the performance that may be achieved using parallel...
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