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Design of Various VLSI Sorting Accelerator Architectures

In this thesis, various designs of VLSI sorter architectures are proposed. This thesis first presents a baseline serial sorter architecture built on a central memory module equipped with a single compare-and-swap (C&S) functional unit. A dedicated low-cost address generation circuit which controls the order of data accesses and C&S operation in order to support sorting of data sequences with any length is proposed. By exploring the bit-permutation technique to create the access orders suitable for different C&S steps, the address generator can be built by only two adders and three shifters plus some control circuits, and consumes only about 1K gates. Next, this thesis also proposes a two-bank memory architecture to reduce the required memory ports from four to two such that the sorter memory can be realized by on-chip SRAM blocks. Our experimental results show that the overall silicon cost can be reduced by more than 56% for the sorter circuit which can sort the data sequence of length up to 1024.
In addition to the serial sorter architecture, this thesis further proposes three possible parallel sorter architectures including the pipeline sorter, cascade sorter, and block sorter. Among these three architectures, the pipeline sorter can deliver the best throughput although it can be used only for fixed-length data sequences. On the other hand, the block sorter is the most flexible design suitable for sequences with variable length. It is designed based on the block-level even-odd merge sort algorithm. It significantly outperforms the previous block sorter design by using more efficient algorithm, architectural pipelining, and better block C&S(BC&S) unit which can realize separate pre-sort and merge processes efficiently. Our implementation results show that by using the 0.18um technology, the core size of the proposed sorter with block-size of four is about 0.509mm2, and can sorting a 1024-point sequence within 32.84us.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0831109-115655
Date31 August 2009
CreatorsFu, Chien-jung
ContributorsChuen-Yau Chen, Yun-Nan Chang, Shiann-Rong Kuang
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0831109-115655
Rightscampus_withheld, Copyright information available at source archive

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