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https://hdl.handle.net/10356/89554
Title: | Stochastic computing with spiking neural P systems | Authors: | Wong, Ming Ming Wong, Dennis Mou Ling |
Keywords: | Stochastic Computing Membrane Computing DRNTU::Engineering::Computer science and engineering |
Issue Date: | 2017 | Source: | Wong, M. M., & Wong, D. M. L. (2017). Stochastic computing with spiking neural P systems. Journal of Universal Computer Science, 23(7), 589-602. doi:10.3217/jucs-023-07-0589 | Series/Report no.: | Journal of Universal Computer Science | Abstract: | This paper presents a new computational framework to address the challenges in deeply scaled technologies by implementing stochastic computing (SC) using the Spiking Neural P (SN P) Systems. SC is well known for its high fault tolerance and its ability to compute complex mathematical operations using minimal amount of resources. However, one of the key issues for SC is data correlation. This computation can be abstracted and elegantly modeled by using SN P systems where the stochastic bit-stream can be generated through the neurons spiking. Furthermore, since SN P systems are not affected by data correlations, this effectively mitigate the accuracy issue in the ordinary SC circuitry. A new stochastic scaled addition realized using SN P systems is reported at the end of this paper. Though the work is still at the early stage of investigation, we believe this study will provide insights to future IC design development. | URI: | https://hdl.handle.net/10356/89554 http://hdl.handle.net/10220/46312 |
ISSN: | 0948-695X | DOI: | 10.3217/jucs-023-07-0589 | Schools: | School of Computer Science and Engineering | Research Centres: | Hardware & Embedded Systems Lab (HESL) | Rights: | © 2017 J.UCS. This paper was published in Journal of Universal Computer Science and is made available as an electronic reprint (preprint) with permission of J.UCS. The published version is available at: [http://dx.doi.org/10.3217/jucs-023-07-0589]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Journal Articles |
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Stochastic computing with spiking neural P systems.pdf | 180.52 kB | Adobe PDF | View/Open |
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