Conference proceeding
Design-Technology Co-Optimization for OxRRAM-based synaptic processing unit
2017 SYMPOSIUM ON VLSI TECHNOLOGY, pp T178-T179
01 Jan 2017
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this paper, we present a design-technology tradeoff analysis to implement a fully connected neural network using non-volatile OxRRAM cells. The requirement of a high number of distinct levels in synaptic weight has been established as a primary bottleneck for using a single NVM as a synaptic unit. We propose a mixed-radix encoding system for a multi-device synaptic unit achieving high classification accuracy (94%) including device variability. To our knowledge, this is the first paper to discuss the tradeoff between single and multi-device synaptic weight in terms of design and technology using silicon data. We have demonstrated that high level of variability can be handled by the neuromorphic algorithm. The results presented in the paper has been obtained from 1Mb array.
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Details
- Title
- Design-Technology Co-Optimization for OxRRAM-based synaptic processing unit
- Creators
- A. Mallik - Imec the NetherlandsD. Garbin - Imec the NetherlandsA. Fantini - Imec the NetherlandsD. Rodopoulos - Imec the NetherlandsR. Degraeve - Imec the NetherlandsJ. Stuijt - Imec the NetherlandsA. K. Das - Imec the NetherlandsS. Schaafsma - Imec the NetherlandsP. Debacker - Imec the NetherlandsG. Donadio - Imec the NetherlandsH. Hody - Imec the NetherlandsL. Goux - Imec the NetherlandsG. S. Kar - Imec the NetherlandsA. Furnemont - Imec the NetherlandsA. Mocuta - Imec the NetherlandsP. Raghavan - Imec the NetherlandsIEEE
- Publication Details
- 2017 SYMPOSIUM ON VLSI TECHNOLOGY, pp T178-T179
- Series
- Symposium on VLSI Technology
- Publisher
- IEEE
- Number of pages
- 2
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000582303200034
- Scopus ID
- 2-s2.0-85028053685
- Other Identifier
- 991019295315004721
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- Collaboration types
- International collaboration
- Web of Science research areas
- Computer Science, Hardware & Architecture
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic
- Physics, Condensed Matter