The Research of Synthesizing Parallel Computing Models with Graph Reduction
نویسندگان
چکیده
منابع مشابه
The Research of Synthesizing Parallel Computing Models with Graph Reduction
The demands of data analysis and processing make the parallel computing platforms are continuously developed. But the existing parallel computing models which are the core of platforms present the characteristics of diversification, high pertinence and short cycle. So a synthetic model of supporting flexible platforms urgently needs to be researched. This work researches a synthetic model to sh...
متن کاملGraph partitioning models for parallel computing
Calculations can naturally be described as graphs in which vertices represent computation and edges reeect data dependencies. By partitioning the vertices of a graph, the calculation can be divided among processors of a parallel computer. However, the standard methodology for graph partitioning minimizes the wrong metric and lacks expressibility. We survey several recently proposed alternatives...
متن کاملGraph partitioning models for parallel computing q
Calculations can naturally be described as graphs in which vertices represent computation and edges re ̄ect data dependencies. By partitioning the vertices of a graph, the calculation can be divided among processors of a parallel computer. However, the standard methodology for graph partitioning minimizes the wrong metric and lacks expressibility. We survey several recently proposed alternatives...
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چکیده ندارد.
15 صفحه اولParallel Graph Reduction with the h ; Gi -
We have implemented a parallel graph reducer on a commercially available shared memory multiprocessor (a Sequent Symmetry TM ), that achieves real speedup compared to a a fast compiled implementation of the conventional Gmachine. Using 15 processors, this speedup ranges between 5 and 11, depending on the program. Underlying the implementation is an abstract machine called the h ; Gi-machine. We...
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ژورنال
عنوان ژورنال: International Journal of Advanced Science and Technology
سال: 2014
ISSN: 2005-4238
DOI: 10.14257/ijast.2014.71.05