Generalized Adaptive Variable Bit Truncation Method for Approximate Stochastic Computing

Abstract

Stochastic computing as a computing paradigm is currently undergoing revival as the advancements in technology make it applicable especially in the wake of the need for efficient reduced precision computing for emerging applications. Recent research in stochastic computing exploits the benefits of approximate computing, called Approximate Stochastic Computing (ASC), which further reduces the operational overhead in implementing stochastic circuits. A new generalized adaptive method improving on ASC is proposed in this work. The proposed method has been discussed with two possible implementation variants - Area efficient and Time efficient. The proposed method has also been implemented in Matlab to compare against ASC and is shown to perform better than previous approaches for error-tolerant applications.

Meeting Name

2018 International SoC Design Conference, ISOCC 2018 (2018: Nov. 12-15, Daegu, South Korea)

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

MATLAB; Adaptive methods; Bit-truncation method; Computing paradigm; Emerging applications; Recent researches; Reduced precision; Stochastic circuits; Stochastic computing; Stochastic systems

International Standard Book Number (ISBN)

978-1-5386-7960-9

International Standard Serial Number (ISSN)

2163-9612

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Nov 2018

Link to Full Text

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