All-to-all reconfigurability with sparse and higher-order Ising machines
Abstract Domain-specific hardware to solve computationally hard optimization problems has
generated tremendous excitement. Here, we evaluate probabilistic bit (p-bit) based Ising …
generated tremendous excitement. Here, we evaluate probabilistic bit (p-bit) based Ising …
All-to-all reconfigurability with sparse Ising machines: the XORSAT challenge with p-bits
Domain-specific hardware to solve computationally hard optimization problems has
generated tremendous excitement recently. Here, we evaluate probabilistic bit (p-bit) based …
generated tremendous excitement recently. Here, we evaluate probabilistic bit (p-bit) based …
Neural networks three ways: unlocking novel computing schemes using magnetic tunnel junction stochasticity
Due to their interesting physical properties, myriad operational regimes, small size, and
industrial fabrication maturity, magnetic tunnel junctions are uniquely suited for unlocking …
industrial fabrication maturity, magnetic tunnel junctions are uniquely suited for unlocking …
[HTML][HTML] Automatic Extraction and Compensation of P-Bit Device Variations in Large Array Utilizing Boltzmann Machine Training
A Probabilistic Bit (P-Bit) device serves as the core hardware for implementing Ising
computation. However, the severe intrinsic variations of stochastic P-Bit devices hinder the …
computation. However, the severe intrinsic variations of stochastic P-Bit devices hinder the …
An Ising Model-Based Parallel Tempering Processing Architecture for Combinatorial Optimization
Combinatorial optimization problems (COPs) are prevalent in various domains and present
formidable challenges for modern computers. Searching for the ground state of the Ising …
formidable challenges for modern computers. Searching for the ground state of the Ising …
Digital CIM with Noisy SRAM Bit: A Compact Clustered Annealer for Large-Scale Combinatorial Optimization
Combinatorial optimization problems (COP) are NP-hard and intractable to solve using
conventional computing. The Ising model-based annealer has gained increasing attention …
conventional computing. The Ising model-based annealer has gained increasing attention …
[PDF][PDF] Probabilistic Ising Architectures for Combinatorial Optimization, Machine Learning and Neuromorphic Computing
S Patel - 2023 - eecs.berkeley.edu
As the demand for big data increases and the speed of traditional CPUs cannot keep pace,
a new need for domain specific accelerators and new computing paradigms has arisen …
a new need for domain specific accelerators and new computing paradigms has arisen …