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A fast and low-cost comparison-free sorting engine with unary computing: late breaking results

Published: 23 August 2022 Publication History

Abstract

Hardware-efficient implementation of sorting operation is crucial for numerous applications, particularly when fast and energy-efficient sorting of data is desired. Unary computing has been used for low-cost hardware sorting. This work proposes a comparison-free unary sorting engine by iteratively finding maximum values. Synthesis results show up to 81% reduction in hardware area compared to the state-of-the-art unary sorting design. By processing right-aligned unary bit-streams, our unary sorter is able to sort many inputs in fewer clock cycles.

References

[1]
S. Abdel-Hafeez and A. Gordon-Ross. An Efficient O(N) Comparison-Free Sorting Algorithm. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 25(6):1930--1942, jun 2017.
[2]
F. Amin, H. J. Duwe III, M. J. Schulte, and K. Compton. Modular design of high-throughput, low-latency sorting units. IEEE Transactions on Computers, 62(7):1389--1402, 2013.
[3]
K. E. Batcher. Sorting networks and their applications. In Proceedings of the April 30--May 2, 1968, spring joint computer conference on - AFIPS '68 (Spring), page 307, New York, New York, USA, 1968. ACM Press.
[4]
S. Ghosh, S. Dasgupta, and S. Saha Ray. A Comparison-free Hardware Sorting Engine. Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI, 2019-July:586--591, 2019.
[5]
M. H. Najafi, D. J. Lilja, M. D. Riedel, and K. Bazargan. Low-Cost Sorting Network Circuits Using Unary Processing. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 26(8):1471--1480, aug 2018.

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cover image ACM Conferences
DAC '22: Proceedings of the 59th ACM/IEEE Design Automation Conference
July 2022
1462 pages
ISBN:9781450391429
DOI:10.1145/3489517
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 23 August 2022

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DAC '22
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DAC '22: 59th ACM/IEEE Design Automation Conference
July 10 - 14, 2022
California, San Francisco

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Overall Acceptance Rate 1,770 of 5,499 submissions, 32%

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