2012 IEEE 23rd International Conference on Application-Specific Systems, Architectures and Processors 2012
DOI: 10.1109/asap.2012.24
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Viterbi Accelerator for Embedded Processor Datapaths

Abstract: We present a novel architecture for a lightweight Viterbi accelerator that can be tightly integrated inside an embedded processor datapath. We investigate the accelerator's impact on processor performance by using the EEMBC Viterbi benchmark and the in-house Viterbi Branch Metric kernel. Our evaluation based on the EEMBC benchmark shows that an accelerated 65-nm 2.7-ns processor datapath is 20% larger but 90% more cycle efficient than a datapath lacking the Viterbi accelerator, leading to an 87% overall energy… Show more

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Cited by 7 publications
(3 citation statements)
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“…An exposed datapath offers an interesting compromise solution using a mix of hardware acceleration-in a lightweight, memory-limited acceleratorand software execution-in the general-purpose portion of the datapath. To address acceleration of more complex algorithms, we recently described a Viterbi accelerator [21]. To complement the view of the previous two accelerator descriptions, we leave out all implementation details and instead focus on datapath integration and overall application execution.…”
Section: Error Correction Using Viterbi Decodingmentioning
confidence: 99%
See 1 more Smart Citation
“…An exposed datapath offers an interesting compromise solution using a mix of hardware acceleration-in a lightweight, memory-limited acceleratorand software execution-in the general-purpose portion of the datapath. To address acceleration of more complex algorithms, we recently described a Viterbi accelerator [21]. To complement the view of the previous two accelerator descriptions, we leave out all implementation details and instead focus on datapath integration and overall application execution.…”
Section: Error Correction Using Viterbi Decodingmentioning
confidence: 99%
“…The evaluation showed that by integrating the Viterbi accelerator, the datapath becomes 20% larger, which directly impacts power dissipation (a 38% increase). However, thanks to the improved performance, the reduced execution time (90% for the total benchmark or 99% for the benchmark kernel) yields an 87% energy reduction for the whole benchmark [21].…”
Section: Error Correction Using Viterbi Decodingmentioning
confidence: 99%
“…[4][5][6][7][8]). Besides power consumption, researches have been done on speed performance [9] and area efficiency (e.g. [10][11][12][13][14]).…”
Section: Introductionmentioning
confidence: 99%