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Rehman et al., 2019 - Google Patents

Heterogeneous approximate multipliers: Architectures and design methodologies

Rehman et al., 2019

Document ID
11455416163523555943
Author
Rehman S
Prabakaran B
El-Harouni W
Shafique M
Henkel J
Publication year
Publication venue
Approximate Circuits: Methodologies and CAD

External Links

Snippet

Multipliers are an integral block of a wide range of error-resilient applications like audio, image, and video processing, and machine learning. However, these multiplier architectures are computationally complex, and hence consume more power and occupy more area with …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06F7/38—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation
    • G06F7/48—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state device; using unspecified devices
    • G06F7/52—Multiplying; Dividing
    • G06F7/523—Multiplying only
    • G06F7/533—Reduction of the number of iteration steps or stages, e.g. using the Booth algorithm, log-sum, odd-even
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G06F17/141—Discrete Fourier transforms
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    • G—PHYSICS
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    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
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