Guidesort: Simpler Optimal Deterministic Sorting for the Parallel Disk Model
Torben Hagerup

TL;DR
Guidesort is a new, simpler deterministic sorting algorithm for the parallel disk model that nearly matches the optimal I/O complexity with a small constant factor, improving on previous methods.
Contribution
It introduces a simpler, deterministic sorting algorithm for the parallel disk model that achieves near-optimal I/O performance with a smaller constant factor.
Findings
Achieves a constant factor C close to 3 of the optimal I/O complexity.
Simpler algorithm and analysis compared to previous work.
Potentially better performance for plausible parameter values.
Abstract
A new algorithm, Guidesort, for sorting in the uniprocessor variant of the parallel disk model (PDM) of Vitter and Shriver is presented. The algorithm is deterministic and executes a number of (parallel) I/O operations that comes within a constant factor of the optimum. The algorithm and its analysis are simpler than those proposed in previous work, and the achievable constant factor of essentially 3 appears to be smaller than for all other known deterministic algorithms, at least for plausible parameter values.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Data Storage Technologies · Parallel Computing and Optimization Techniques · Algorithms and Data Compression
