Polynomial arithmetic using sequential stochastic logic

We present the design of stochastic computing systems based on sequential logic to implement arbitrary polynomial functions. Stochastic computing is an emerging alternative computing paradigm that performs arithmetic operations on real-valued data represented as random bitstreams using digital logic...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Proceedings of the 26th Edition on Great Lakes Symposium on VLSI s. 245 - 250
Hlavní autoři: Saraf, Naman, Bazargan, Kia
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: ACM 18.05.2016
Témata:
CMOS integrated circuits
CMOS technology
Hardware
Input variables
Logic gates
Markov processes
Radiation detectors
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:We present the design of stochastic computing systems based on sequential logic to implement arbitrary polynomial functions. Stochastic computing is an emerging alternative computing paradigm that performs arithmetic operations on real-valued data represented as random bitstreams using digital logic gates. Stochastic computing systems are capable of realizing complex mathematical operations using a small number of hardware resources by expressing the computation in terms of probabilities. Moreover, the stochastic representation of data using random bitstreams is extremely robust against bit errors. We present a systematic approach to implement arbitrary polynomial functions in stochastic computing using sequential logic, and compare our approach against prior conventional and stochastic implementations.
DOI:10.1145/2902961.2902981