Design techniques of eNVM-enabled neuromorphic computing systems
Publication
, Conference
Song, C; Liu, B; Liu, C; Li, H; Chen, Y
Published in: Proceedings of the 34th IEEE International Conference on Computer Design, ICCD 2016
November 22, 2016
The recently emerged research on 'neuromorphic computing', which stands for hardware acceleration of brain-inspired computing, has become one of the most active research areas in computer engineering. In this invited paper, we start with a background introduction of neuromorphic computing, followed by some examples of hardware acceleration schemes of learning and neural network algorithms on emerging nonvolatile memory (eNVM)-based neuromorphic computing engine. At the end, we share our prospects on the future technology challenges and advances of neuromorphic computing.
Duke Scholars
Published In
Proceedings of the 34th IEEE International Conference on Computer Design, ICCD 2016
DOI
ISBN
9781509051427
Publication Date
November 22, 2016
Start / End Page
674 / 677
Citation
APA
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MLA
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Song, C., Liu, B., Liu, C., Li, H., & Chen, Y. (2016). Design techniques of eNVM-enabled neuromorphic computing systems. In Proceedings of the 34th IEEE International Conference on Computer Design, ICCD 2016 (pp. 674–677). https://doi.org/10.1109/ICCD.2016.7753356
Song, C., B. Liu, C. Liu, H. Li, and Y. Chen. “Design techniques of eNVM-enabled neuromorphic computing systems.” In Proceedings of the 34th IEEE International Conference on Computer Design, ICCD 2016, 674–77, 2016. https://doi.org/10.1109/ICCD.2016.7753356.
Song C, Liu B, Liu C, Li H, Chen Y. Design techniques of eNVM-enabled neuromorphic computing systems. In: Proceedings of the 34th IEEE International Conference on Computer Design, ICCD 2016. 2016. p. 674–7.
Song, C., et al. “Design techniques of eNVM-enabled neuromorphic computing systems.” Proceedings of the 34th IEEE International Conference on Computer Design, ICCD 2016, 2016, pp. 674–77. Scopus, doi:10.1109/ICCD.2016.7753356.
Song C, Liu B, Liu C, Li H, Chen Y. Design techniques of eNVM-enabled neuromorphic computing systems. Proceedings of the 34th IEEE International Conference on Computer Design, ICCD 2016. 2016. p. 674–677.
Published In
Proceedings of the 34th IEEE International Conference on Computer Design, ICCD 2016
DOI
ISBN
9781509051427
Publication Date
November 22, 2016
Start / End Page
674 / 677