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Stochastic computing elements and systems
Abstract
To date essentially only two fundamentally different representations of numbers have been used in electronic computers: One is the analog representation by a voltage or current inside a given range, the other one, the digital representation which maps a sequence of 0's and 1's onto a spatial or temporal sequence of voltage or current pulses. Of late, interest has arisen in the use of random pulse sequences as information carriers. (1), (2), (3), (4), (5), (6). It turns out that the use of random pulse sequences leads to the use of digital ANDs or ORs for the fundamental operations of multiplication and summation and therefore to a very considerable reduction in cost of the computational equipment. It is the purpose of this paper to present the theory of these random pulse sequences as well as their practical circuit implementations, and to give some systems design examples. In the final section some non-Von Neumann organizations will be discussed which are made possible by the use of stochastic computing elements.
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“Stochastic computing was first proposed in the 1960s (26,27) but like many concepts proposed ahead of their time it never become mainstream due to the exponential growth of digital computers.”
From Stochastic memristive devices for computing and neuromorphic applications (2013) · cites this paper as [27]
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Approximate computing: An emerging paradigm for energy-efficient design
Han, J., & Orshansky, M. E. (2013) · IEEE European Test Symposium (ETS) · doi:10.1109/ets.2013.6569370 · Cited by 1,115
Gaines, B. R. (1969) · Advances in Information Systems Science · doi:10.1007/978-1-4899-5841-9_2 · Cited by 745
Survey of Stochastic Computing
Alaghi, A., & Hayes, J. P. (2013) · ACM Transactions on Embedded Computing Systems · doi:10.1145/2465787.2465794 · Cited by 594
Gokmen, T., & Vlasov, Y. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00333 · Cited by 491
Stochastic memristive devices for computing and neuromorphic applications
Gaba, S., Sheridan, P., Zhou, J., Choi, S., & Lu, W. (2013) · Nanoscale · doi:10.1039/c3nr01176c · Cited by 307
“Stochastic computing was first proposed in the 1960s (26,27) but like many concepts proposed ahead of their time it never become mainstream due to the exponential growth of digital computers.”
Background
Metadata
- Authors
- Poppelbaum, W. J., Afuso, C., & Esch, J. W.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Venue
- Proceedings of the November 14-16, 1967, fall joint computer conference on - AFIPS '67 (Fall)
- Publisher
- ACM Press
- Published
- 1967
- Pages
- 635
- OpenAlex
- W2099690171
- Cited by
- 114
- References
- 0
- Citations by year
- 2025: 3 · 2024: 6 · 2023: 6 · 2022: 13 · 2021: 5 · 2020: 7 · 2019: 10 · 2018: 7 · 2017: 11 · 2016: 8 · 2015: 8 · 2014: 5 · 2013: 5 · 2012: 7
- Type
- conference abstract
- Language
- en
- Open access
- closed
- Locations
- AFIPS Fall Joint Computer Conference (FJCC) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Low-power high-performance VLSI design
- Physical Sciences › Computer Science › Computer Networks and Communications › Error Correcting Code Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Keywords
- stochastic computing, random pulse sequences, non-von Neumann architecture, circuit implementation
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