8,213 research outputs found
Neural-network dedicated processor for solving competitive assignment problems
A neural-network processor for solving first-order competitive assignment problems consists of a matrix of N x M processing units, each of which corresponds to the pairing of a first number of elements of (R sub i) with a second number of elements (C sub j), wherein limits of the first number are programmed in row control superneurons, and limits of the second number are programmed in column superneurons as MIN and MAX values. The cost (weight) W sub ij of the pairings is programmed separately into each PU. For each row and column of PU's, a dedicated constraint superneuron insures that the number of active neurons within the associated row or column fall within a specified range. Annealing is provided by gradually increasing the PU gain for each row and column or increasing positive feedback to each PU, the latter being effective to increase hysteresis of each PU or by combining both of these techniques
Experimental demonstration of an integrated on-chip p-bit core utilizing stochastic Magnetic Tunnel Junctions and 2D-MoS FETs
Probabilistic computing is a novel computing scheme that offers a more
efficient approach than conventional CMOS-based logic in a variety of
applications ranging from optimization to Bayesian inference, and invertible
Boolean logic. The probabilistic-bit (or p-bit, the base unit of probabilistic
computing) is a naturally fluctuating entity that requires tunable
stochasticity; by coupling low-barrier stochastic Magnetic Tunnel Junctions
(MTJs) with a transistor circuit, a compact implementation is achieved. In this
work, through integrating stochastic MTJs with 2D-MoS FETs, the first
on-chip realization of a key p-bit building block displaying
voltage-controllable stochasticity is demonstrated. In addition, supported by
circuit simulations, this work provides a careful analysis of the three
transistor-one magnetic tunnel junction (3T-1MTJ) p-bit design, evaluating how
the characteristics of each component influence the overall p-bit output. This
understanding of the interplay between the characteristics of the transistors
and the MTJ is vital for the construction of a fully functioning p-bit, making
the design rules presented in this article key for future experimental
implementations of scaled on-chip p-bit networks
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