A Data Motion Algorithm

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A Data Motion Algorithm
Allan Gottlieb
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Ij is the binary representation of i, we define unshuffle(i) = iii^ij). ! .. -12. ^^^ partner (i) = in " ' * b^i where Tj = The algorithm proceeds as follows: Each PE. Initializes Q. To (w. , ir (i), 1) and then iterates through the following 3 steps until, for all i, w. € PE, . Y (1) If dj^, the k^*^ bit of d, and i have different parities, then send x to the rear of ^partner (i)* (2) If d = i, remove x (since the w contained therein is w^-l/i^ ).
(3) Set k = k+ 1 and send x to the rear of Q .
... , „ ....
3. A Crude Analysis of the Average Case We make the fundamental assumptions that the permutation has been selected at random and that at each step the triples are randomly distributed among the processors. The latter assumption should be reasonable except near the beginning and end of the algorithm's execution.
Using the fundamental assiunptions, it is easy to see that the average number of non-empty queues is P (1-(1-1/P)P ) c- p (1 . I/e). Since each of the P pairs must execute- steps (1) and (3) at most log P times and at each iteration of steps (1) and (3), P(l-iye) pairs are processed, it follows that (log P) / (1 - 1/e)

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