Abstract. We give a deterministic algorithm for finding the kth smallest item in a set of n items, running in O((log log n)2) parallel time on O(n) processors ...
Jul 23, 2010 · Each processor should split the numbers to groups of 5 elements find the median of each group (using insertion sort) and send those medians back to the leader.
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Aug 21, 2024 · We develop an algorithm that finds the consensus of many different clustering solutions of a graph. We formulate the problem as a median set partitioning ...
Jul 23, 2010 · Use selection algorithm. Split the array of number to 100 partitions. Each processor should use the general pivot to split the array to two ...
This paper presents a fast and portable parallel algorithm for finding the median given a set of elements distributed across a parallel machine. In fact, our ...
A common statistical problem is that of finding the median element in a set of data. This parallel MPI code implements an efficient, randomized high-level ...
We develop a serial algorithm for separable median filtering that requires only two comparisons per element when the window size is three. In addition, fast ...
TL;DR: A deterministic algorithm for finding the k th smallest item in a set of n items, running in O log log n 2 parallel time on O(n) processors in ...
We present a new algorithm called rEvoluzer II for solving the Reversal Median problem (RMP). Similar to its predecessor rEvoluzer I the new algorithm can ...
This paper presents a fast and portable parallel algorithm for finding the median given a set of elements distributed across a parallel machine.