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Comparing Stochastic and Deterministic Computing

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Technology scaling has raised the specter of myriads of cheap, but unreliable and/or stochastic devices that must be creatively combined to create a reliable computing system. This has renewed the interest in computing that exploits stochasticity—embracing, not combating the device physics. If a stochastic representation is used to implement a programmable general-purpose architecture akin to CPUs, GPUs, or FPGAs, the preponderance of evidence indicates that most of the system energy will be expended in communication and storage as opposed to computation. This paper presents an analytical treatment of the benefits and drawbacks of adopting a stochastic approach by examining the cost of representing a value. We show both scaling laws and costs for low precision representations. We also analyze the cost of multiplication implemented using stochastic versus deterministic approaches, since multiplication is the prototypical inexpensive stochastic operation. We show that the deterministic approach compares favorably to the ochastic approach when holding precision and reliability constant.

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Ketersediaan

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Informasi Detail

Judul Seri

COMPUTER ARCHITECTURE

No. Panggil

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Penerbit

Sweden : IEEE Computer Architecture Letters., 2015

Deskripsi Fisik

IEEE COMPUTER ARCHITECTURE LETTERS, VOL. 14, NO. 2, JULY-DECEMBER 2015

Bahasa

English

ISBN/ISSN

Digital Object Ident

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

VOL. 14, NO. 2, JULY-DECEMBER 2015

Subjek

ARSITEKTUR KOMPUTER

Info Detail Spesifik

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Pernyataan Tanggungjawab

deliza

Versi lain/terkait

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