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2006 International Conference on Parallel Processing (ICPP'06)
A Parallel, Out-of-Core Algorithm for RNA Secondary Structure Prediction
Columbus, Ohio
August 14-August 18
ISBN: 0-7695-2636-5
Wenduo Zhou, University of Georgia, USA
David K. Lowenthal, University of Georgia, USA
RNA pseudoknot prediction is an algorithm for RNA sequence search and alignment. An important building block towards pseudoknot prediction is RNA secondary structure prediction. The difficulty of extending the secondary structure prediction algorithm to a parallel program is (1) it has complicated data dependences, and (2) it has a large data set that typically cannot fit completely in main memory.

In this paper, we propose a new out-of-core, distributedmemory algorithm for RNA secondary structure prediction. Its novelty lies in its redundant file scheme, I/O-reducing in-core buffer mechanism, and dynamic load balancing algorithm. Experimental results obtained on 16 Sun UltraSPARC IIIi nodes provide evidence that our approach achieves good speedup. Furthermore, we found that counterintuitively, the size of the in-memory buffer is critical to efficiency of the parallel program.

Citation:
Wenduo Zhou, David K. Lowenthal, "A Parallel, Out-of-Core Algorithm for RNA Secondary Structure Prediction," icpp, pp.74-81, 2006 International Conference on Parallel Processing (ICPP'06), 2006
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