System Design

Shriram Ramanathan; Abhronil Sengupta

doi:10.1017/9781009564335.007

6 - System Design

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Shriram Ramanathan and

Abhronil Sengupta

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Shriram Ramanathan: Affiliation:
Rutgers University, New Jersey
Abhronil Sengupta: Affiliation:
Pennsylvania State University

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Summary

The chapter introduces key codesign principles across multiple layers of the design stack highlighting the need for cross-layer optimizations. Mitigation of various non-idealities stemming from emerging devices such as device-to-device variations, cycle-to-cycle variations, conductance drift, and stuck-at-faults through algorithm–hardware codesign are discussed. Further, inspiration from the brain’s self-repair mechanism is utilized to design neuromorphic systems capable of autonomous self-repair. Finally, an end-to-end codesign approach is outlined by exploring synergies of event-driven hardware and algorithms with event-driven sensors, thereby leveraging maximal benefits of brain-inspired computing.

Keywords

neuromorphic architecture hardware–algorithm–application codesign robust system design variations self-healing systems

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Type: Chapter
Information: Introduction to Neuromorphic Computing , pp. 135 - 144

DOI: https://doi.org/10.1017/9781009564335.007 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2026

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References

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