کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6885836 | 1444580 | 2018 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
S-box-based random number generation for stochastic computing
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: S-box-based random number generation for stochastic computing S-box-based random number generation for stochastic computing](/preview/png/6885836.png)
چکیده انگلیسی
Stochastic circuits (SCs) offer tremendous area and power-consumption benefits at the expense of computational inaccuracies. They require random number sources (RNSs) to implement stochastic number generators (SNGs) for all of their inputs. It is common for an SC to have a large number of primary and auxiliary inputs. Often the associated SNGs take up as much as 80% of the entire circuit area, so sharing RNSs is a very important goal in stochastic computing. Such sharing often leads to large correlation errors that have to be resolved via costly decorrelation methods. Linear feedback shift registers (LFSRs) are typically used as RNSs. However, we show that their deterministic and linear behavior can interfere with commonly used decorrelation methods, causing systematic computation errors, and limiting the possibilities of sharing LFSRs between SNGs. We therefore propose a novel pseudo-random number generator SBoNG for stochastic circuits that combines an LFSR with a non-linear S-box function. An SBoNG does not interfere with decorrelation and can be shared efficiently by multiple SNGs. Consequently, SBoNGs scale very well in SCs with large numbers of inputs.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Microprocessors and Microsystems - Volume 61, September 2018, Pages 316-326
Journal: Microprocessors and Microsystems - Volume 61, September 2018, Pages 316-326
نویسندگان
Florian Neugebauer, Ilia Polian, John P. Hayes,