260 citations · 415 across the 9 of their papers we have counts for
5 papers · 1 filter
Efficient CMOS Invertible Logic Using Stochastic Computing
Sean C. Smithson, Naoya Onizawa, Brett H. Meyer +2
Invertible logic can operate in one of two modes: 1) a forward mode, in which inputs are presented and a single, correct output is produced, and 2) a reverse mode, in which the out…
Fast Solving Complete 2000-Node Optimization Using Stochastic-Computing Simulated Annealing
Kota Katsuki, Duckgyu Shin, Naoya Onizawa +1
In this paper, we evaluate stochastic-computing simulated annealing (SC-SA) for solving large-scale combinatorial optimization problems. SC-SA is designed using stochastic computin…
Memory-Efficient FPGA Implementation of Stochastic Simulated Annealing
Duckgyu Shin, Naoya Onizawa, Warren J. Gross +1
Simulated annealing (SA) is a well-known algorithm for solving combinatorial optimization problems. However, the computation time of SA increases rapidly, as the size of the proble…
High Convergence Rates of CMOS Invertible Logic Circuits Based on Many-Body Hamiltonians
Naoya Onizawa, Takahiro Hanyu
This paper introduces CMOS invertible-logic (CIL) circuits based on many-body Hamiltonians. CIL can realize probabilistic forward and backward operations of a function by annealing…
Analog-to-Stochastic Converter Using Magnetic Tunnel Junction Devices for Vision Chips
Naoya Onizawa, Daisaku Katagiri, Warren J. Gross +1
This paper introduces an analog-to-stochastic converter using a magnetic tunnel junction (MTJ) device for vision chips based on stochastic computation. Stochastic computation has b…