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Algebraic decision diagrams and their applications
TLDR
In this paper we present theory and experiments on algebraic decision diagrams (ADDs). Expand
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Algebric Decision Diagrams and Their Applications
TLDR
We present theory and experimental results on Algebraic Decision Diagrams. Expand
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DRUM: A Dynamic Range Unbiased Multiplier for approximate applications
TLDR
We propose a novel approximate multiplier with a dynamic range selection scheme, which leads to lower computational errors in real applications because errors cancel each other out, rather than accumulate, as the multiplier is used repeatedly. Expand
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Algebraic decision diagrams and their applications
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ABACUS: A technique for automated behavioral synthesis of approximate computing circuits
TLDR
We propose a new class of automated synthesis methods for generating approximate circuits directly from behavioral-level descriptions using an iterative stochastic greedy approach to identify the optimal inexact designs in an efficient way. Expand
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Power and energy reduction via pipeline balancing
TLDR
We propose an architectural solution to the power problem that retains performance while reducing power by dynamically tuning the resources of a general purpose processor to the needs of the program. Expand
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A Probabilistic-Based Design Methodology for Nanoscale Computation
TLDR
We propose a probabilistic-based design methodology for designing nanoscale computer architectures based onMarkov Random Fields (MRF). Expand
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Designing logic circuits for probabilistic computation in the presence of noise
TLDR
We examine probabilistic-based design methodologies for nanoscale computer architectures based on Markov random fields (MRF). Expand
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A Cost Effective Approach for Online Error Detection Using Invariant Relationships
TLDR
This paper investigates the use of logic implication checkers for the online detection of errors. Expand
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Designing Nanoscale Logic Circuits Based on Markov Random Fields
TLDR
We propose a new CMOS-compatible approach to the design and operation of logic circuits, where the logic states are considered to be random variables whose values can vary over the range of the logic signal level between 0V and VDD. Expand
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