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• W1966367054 abstract "Abstract In previous studies, objects of each membrane were assigned to threads of one thread block of the graphic processing unit (GPU). The number of active threads was low if the number of objects inside a membrane was low. This study represents objects of membranes as entities of a matrix. Then a sub-matrix represents the appropriate number of objects assigned to threads of each thread block to balance the load and keep the occupancy high even when the number of objects per membrane is low. The size of the sub-matrix or the appropriate number of active threads is determined automatically. Furthermore, by this approach it is possible to assign more than one membrane to each thread block and to execute communication between membranes in the same thread block without the need for time-consuming inter-block communication. For example, using the previous algorithm, for two objects per membrane the speed up is 0.6×, while for the proposed algorithm the speed up is 32.4×." @default.
• W1966367054 created "2016-06-24" @default.
• W1966367054 creator A5050788485 @default.
• W1966367054 creator A5079386779 @default.
• W1966367054 date "2014-11-01" @default.
• W1966367054 modified "2023-09-24" @default.
• W1966367054 title "Enhancement of membrane computing model implementation on GPU by introducing matrix representation for balancing occupancy and reducing inter-block communications" @default.
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• W1966367054 doi "https://doi.org/10.1016/j.jocs.2014.07.003" @default.
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