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Conference Paper

Fast Priority Queues for Cached Memory

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Sanders,  Peter
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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Citation

Sanders, P. (1999). Fast Priority Queues for Cached Memory. In M. T. Goodrich, & C. C. McGeoch (Eds.), Selected papers of the International Workshop on Algorithm Engineering and Experimentation (ALENEX-99) (pp. 312-327). Berlin: Springer.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-35C8-C
Abstract
The cache hierarchy prevalent in todays high performance processors has to be taken into account in order to design algorithms which perform well in practice. We advocates the approach to adapt external memory algorithms to this purpose. We exemplify this approach and the practical issues involved by engineering a fast priority queue suited to external memory and cached memory which is based on $k$-way merging. It improves previous external memory algorithms by constant factors crucial for transferring it to cached memory. Running in the cache hierarchy of a workstation the algorithm is up to $4.7$ times faster than an optimized binary heap implementation.