68 citations · 141 across the 6 of their papers we have counts for
4 papers · 1 filter
CNN-Based Automated Parameter Extraction Framework for Modeling Memristive Devices
Akif Hamid, Orchi Hassan
Resistive random access memory (RRAM) is a promising candidate for next-generation nonvolatile memory (NVM) and in-memory computing applications. Compact models are essential for a…
Quantitative Evaluation of Hardware Binary Stochastic Neurons
Orchi Hassan, Supriyo Datta, Kerem Y. Camsari
Recently there has been increasing activity to build dedicated Ising Machines to accelerate the solution of combinatorial optimization problems by expressing these problems as a gr…
Low Barrier Magnet Design for Efficient Hardware Binary Stochastic Neurons
Orchi Hassan, Rafatul Faria, Kerem Y. Camsari +2
Binary stochastic neurons (BSN's) form an integral part of many machine learning algorithms, motivating the development of hardware accelerators for this complex function. It has b…
Voltage-driven Building Block for Hardware Belief Networks
Orchi Hassan, Kerem Y. Camsari, Supriyo Datta
Probabilistic spin logic (PSL), based on networks of binary stochastic neurons (or p-bits), has been shown to provide a viable framework for many functionalities including Ising co…