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BP algorithm for the automatic generation of parallel programming and parallel efficiency of prediction


ad [rom; read [rom; totallycombine; totallycombine})) ● ... ● ● ... ... BP network computing parallel program automatically generate the required information and generate the information required serial procedures are the same,[link widoczny dla zalogowanych], but would also like to know n London and the mapping processor communication and synchronization way. The method described below is generated SPMD model of parallel programs,[link widoczny dla zalogowanych], information exchange is achieved through the shared memory. Whether changes in the weights to add momentum term has nothing to do with the parallel task partitioning,[link widoczny dla zalogowanych], to run the process only affects the convergence speed and the final is convergence. Division of tasks is to generate the premise of parallel programs. Divide a certain level, the set of the k-layer neurons,[link widoczny dla zalogowanych], the numbers from 0 to k-1,[link widoczny dla zalogowanych], then processor Pi (O ≤ i <n), we should calculate from the cD] to c [i + 1] neurons, we use the following block to achieve the task by: mean = k / n; j = k-mean * n; for (i = O} i <n} i + +) h [i] = mean; for ( i-O} i <j; i + +) h [i] + +; mean 10:. for (i 一 0; i <a n; i + +) {c [i] = mean; mean + = hill;) generated parallel programs Another important issue is the communication between processors. Communication, each processor Pi to the total of l997 s z (Total 66 help) electro-optical and enjoy the memory write control section c [i] of neurons to c [i +1] _-1 neurons The results, after synchronization to read from shared memory neurons 0 to c [i]-1 neurons, and section c [i +1] k1 neurons to neurons results. The auxiliary back-propagation calculations are similar calculations, with the realization of regular form. Based task can be generated by a good run on each processor of the source, compiled, loaded by a certain load can be achieved in parallel running. 4 parallel efficiency of the forecast for a given BP topology, from the theory of our prior analysis of the theory of parallel programs generated by the parallel efficiency. The reason here with the word theory is that the actual accuracy of some differences, because, and i efficiency and a variety of factors, however, this analysis still has theoretical significance. Let a layer 1 neurons, mapped to a processor on the n, there are: = INT (Hn) tZ-* \machine calculation of a multi-processor than other neurons, there is n-t (t; 0 时,-f to o) a processor cycle time in the layer of 1 / (1_1) in a wait state. So, get The wait was no proof layer: a ×, ten l each layer can be such a v, v will be added to the mean value of all, have a 1 s treasure ': _1v when the processor is running in parallel idle waiting for rates. 1 A parallel computing is the parallel efficiency may be achieved, which is an upper bound. because the actual operation of the parallel efficiency and education in addition to customs, but also with the program and the synchronization of traffic the number of other factors. References lgorAleksanderandHelenMorton-AnIntroductiontoNeuralCompoting.1985 Jiao LC ed. neural network computing. Du, Xidian University Press, l991KaiHwangandFayeABriggsComputerArchitectureandPara1] e] Processing.1984 instantaneous far identified. Kangwei Chang and so on. ... broadcast new kinds of shared memory multi-computer system communication structure . Northwestern Polytechnical University, No. l2 No. 4 Xue one open. Jianzhong. speedup of parallel processing research. Computer Engineering and Design, Volume 1 No. l6 l1HansBurkhardt ・ MichaelNoelle ・ GeraldSchreiber.E [fizienteparallelisierungyonAlgorithmenderdigita] enBildverarbeitungundMustererkennung. it +37 (1995) 229 Min Liu eels. guard filmography neural network identified by its crown II in the application. Northwestern Polytechnical University, Computer Science and Engineering, 1993l234567
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