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Generalized Adaptive Variable Bit Truncation Model for Approximate Stochastic Computing
Başlık:
Generalized Adaptive Variable Bit Truncation Model for Approximate Stochastic Computing
Yazar:
Pamidimukkala, Keerthana, author.
ISBN:
9780438114647
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (63 pages)
Genel Not:
Source: Masters Abstracts International, Volume: 57-06M(E).
Advisors: Minsu Choi Committee members: Kurt L. Kosbar; Joe Stanley.
Özet:
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 higher computing power 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 mathematical model is proposed to analyze the efficiency and error involved in ASC. Using this mathematical model, a new generalized adaptive method improving on ASC is proposed in the current thesis. 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.
Notlar:
School code: 0587
Tüzel Kişi Ek Girişi:
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Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
XX(688360.1) | 688360-1001 | Proquest E-Tez Koleksiyonu | Arıyor... |
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