Fourier-based Error Analysis for Computing with Asynchronous Sigma-Delta Streams
| Autor: | Patricia Gonzalez-Guerror, Mircea R. Stan, Stephen G. Wilson |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Stochastic computing
Computer science Data_CODINGANDINFORMATIONTHEORY Operand Delta-sigma modulation Computer Science::Hardware Architecture symbols.namesake Fourier transform Fourier analysis Asynchronous communication Computer Science::Mathematical Software symbols MATLAB Algorithm computer computer.programming_language |
| Zdroj: | ACSSC |
| DOI: | 10.1109/ieeeconf44664.2019.9049026 |
| Popis: | We analyze error versus observation time for numerical computing under the stochastic computing paradigm, where operands are encoded with asynchronous sigma-delta modulators. Such encoding offers dramatic savings in energy consumption and/or latency, relative to traditional stochastic computing, at equal RMS error. The paper presents a Fourier analysis of the error with sigma-delta computing for the product of two numerical operands, and presents Matlab error/latency tradeoffs for example operands. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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