A full-stack view of probabilistic computing with p-bits: devices, architectures, and algorithms
The transistor celebrated its 75th birthday in 2022. The continued scaling of the transistor
defined by Moore's law continues, albeit at a slower pace. Meanwhile, computing demands …
defined by Moore's law continues, albeit at a slower pace. Meanwhile, computing demands …
CMOS plus stochastic nanomagnets enabling heterogeneous computers for probabilistic inference and learning
Extending Moore's law by augmenting complementary-metal-oxide semiconductor (CMOS)
transistors with emerging nanotechnologies (X) has become increasingly important. One …
transistors with emerging nanotechnologies (X) has become increasingly important. One …
Training deep Boltzmann networks with sparse Ising machines
The increasing use of domain-specific computing hardware and architectures has led to an
increasing demand for unconventional computing approaches. One such approach is the …
increasing demand for unconventional computing approaches. One such approach is the …
A Review of Ising Machines Implemented in Conventional and Emerging Technologies
T Zhang, Q Tao, B Liu, A Grimaldi… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Ising machines have received growing interest as efficient and hardware-friendly solvers for
combinatorial optimization problems (COPs). They search for the absolute or approximate …
combinatorial optimization problems (COPs). They search for the absolute or approximate …
Spintronic memristors for computing
The ever-increasing amount of data from ubiquitous smart devices fosters data-centric and
cognitive algorithms. Traditional digital computer systems have separate logic and memory …
cognitive algorithms. Traditional digital computer systems have separate logic and memory …
Double-free-layer stochastic magnetic tunnel junctions with synthetic antiferromagnets
Stochastic magnetic tunnel junctions (SMTJs) using low-barrier nanomagnets have shown
promise as fast, energy-efficient, and scalable building blocks for probabilistic computing …
promise as fast, energy-efficient, and scalable building blocks for probabilistic computing …
Experimental demonstration of an on-chip p-bit core based on stochastic magnetic tunnel junctions and 2D MoS2 transistors
Probabilistic computing is a computing scheme that offers a more efficient approach than
conventional complementary metal-oxide–semiconductor (CMOS)-based logic in a variety of …
conventional complementary metal-oxide–semiconductor (CMOS)-based logic in a variety of …
Restricted Boltzmann Machines Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions
Artificial intelligence has surged forward with the advent of generative models, which rely
heavily on stochastic computing architectures enhanced by true random number generators …
heavily on stochastic computing architectures enhanced by true random number generators …
[PDF][PDF] Spin-based magnetic random-access memory for high-performance computing
Spin-based memory technology is now available as embedded magnetic random access
memory (eMRAM) for fast, high-density and non-volatile memory products, which can …
memory (eMRAM) for fast, high-density and non-volatile memory products, which can …
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 …
than conventional CMOS-based logic in a variety of applications ranging from optimization …