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Extensive experiments with an existing MPI-based scientific application validate both the proposed MPI-like programming framework and design options to achieve best performances of asynchronous iterative computing.
In this paper, we address the design of a communication library which particularly targets distributed iterative computing, including randomly executed asynchronous iterations.
The accumulator register keeps the result from the accumulator supporting iterative computing.
Focusing on the computing speed of the practical machine learning based human detection system at the testing (detecting) stage to reach the real-time requirement in an embedded platform, the idea of iterative computing HOG with FPGA circuit design is proposed.
Secondly, because the similarities between diseases and symptoms indicate different degree of correlations, the similarities between symptoms and diseases could be systematically utilized to improve the iterative computing procedures of random walk related network inference methods.
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Iterative computation Compute phase For each computing node, sequentially compute the maximal cliques of its assigned subgraphs by the GP or hybrid algorithm; Shuffle phase Evenly reshuffle all the intermediate subgraphs across the nodes; .
The k-means clustering was chosen here not only because of its popularity, but also due to the various dimensions of complexity involved with the algorithm such as being iterative, compute-intensive, and having the ability to parallelize some of the computations.
Thus, when the logistic prior is used, the algorithm is implemented as a nested iterative scheme where for each update of all the variational parameters, an iterative scheme computes the update for (P ˜ u, P ˜ v ).
Third, the four iterative algorithms proposed in this paper are very different from the iterative algorithm in [[35], Theorem 3.1] because two iterative algorithms are implicit ones and the iterative step of computing x n + 1 in other two explicit iterative algorithms involves the sum of three terms.
In the first step, the iterative method computed an optimized AE position while the covariance matrix that contains spatial variance of arrival times was examined.
Based on the well-known extragradient method, viscosity approximation method and Mann iterative method, we propose and analyze a generalized extra-gradient iterative method for computing a common element.
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