| K. Tan, Supporting pattern-based parallel programming in a distributed-memory environment, Master's Thesis, Department of Computing Science, University of Alberta, 2002. |
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K. Tan, Supporting pattern-based parallel programming in a distributed-memory environment, Master's Thesis, Department of Computing Science, University of Alberta, 2002.
....a matrix. Parallelism in the Wavefront pattern results from elements on the wavefront being data independent of each other, otherwise the elements could not occur on the wavefront. CO 2 P 3 S contains versions of the Wavefront pattern for both shared memory [2] and distributed memory architectures [11]. 3.3 The Mesh Pattern The Mesh pattern [8] is used for computing elements of a regular, rectangular two dimensional data set where each element is dependent on its surrounding values and changed over time. In other words, it is used for applications where the elements are evenly spread over a ....
....Boundary values are then exchanged between partitions and another iteration is done. This continues until a local stopping condition is satis ed for all elements. As with the Wavefront pattern, CO 2 P 3 S contains both shared memory [8] and distributed memory implementations of the Mesh pattern [11]. 3.4 The Pipeline Pattern Pipelines provide a simple way of improving the performance of a task by separating a task into stages, each of which can be done in parallel. Abstractly, a pipeline can be regarded as a sequence of stages wherein the stages have a speci c ordering between them so ....
Kai Tan. Supporting pattern-based parallel programming in a distributed-memory environment. Master's thesis, Department of Computing Science, University of Alberta, 2002.
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