Probabilistic Logic and the Synthesis of Reliable Organisms from Unreliable Components

By J. Neumann. 1956

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Citations in the corpus

CMOL FPGA: a reconfigurable architecture for hybrid digital circuits with two-terminal nanodevices (2005, unknown): “Indeed, the application of such classical techniques of providing fault tolerance as von Neumann multiplexing [ 9 , 10] or R-MD redundancy [10] to defects becomes rather inefficient for high defect rates.”
An Architecture for Fault-Tolerant Computation with Stochastic Logic (2011, background): “The topic of computing reliably with unreliable components dates back to von Neumann and Shannon [9], [10].”
Paxos made live: an engineering perspective (2007, background): “It is well known that fault-tolerance on commodity hardware can be achieved through replication [17, 18].”
Approximate computing: An emerging paradigm for energy-efficient design (2013, background): “SC was first introduced in the 1960s for logic circuit design [4, 5], but its origin can be traced back to von Neumann’s seminal work on probabilistic logic [6].”
Survey of Stochastic Computing (2013, background): “[von Neumann 1956] 1960 79 De.nition of SC and introduction of basic concepts.”
A Unified Coded Deep Neural Network Training Strategy based on Generalized PolyDot codes (2018, methodology): “The problem of reliable computing using unreliable elements was first posed in 1956 by von Neumann [9], speculating that the efficiency and reliability of the human brain is obtained by allowing for low power but errorprone components with redundancy for error-resilience.”
CMOL: Devices, Circuits, and Architectures (2006, background): “In the usual custom logic circuits the location of a defective gate from outside is hardly possible, while spreading around additional logic gates (e.g., providing von Neumann’s majority multiplexing [ 37 ]) for error detection and correction becomes very inefficient for fairly low fraction q of def”