REVIEW 2 cited by
Solving QUBO on the Loihi 2 Neuromorphic Processor
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
In this article, we describe an algorithm for solving Quadratic Unconstrained Binary Optimization problems on the Intel Loihi 2 neuromorphic processor. The solver is based on a hardware-aware fine-grained parallel simulated annealing algorithm developed for Intel's neuromorphic research chip Loihi 2. Preliminary results show that our approach can generate feasible solutions in as little as 1 ms and up to 37x more energy efficient compared to two baseline solvers running on a CPU. These advantages could be especially relevant for size-, weight-, and power-constrained edge computing applications.
Forward citations
Cited by 2 Pith papers
-
Robust PnP on a Neuromorphic Processor for Object Pose Estimation
A robust PnP solver (NeuroPnP) is reformulated as an energy-minimization problem that runs on Intel Loihi 2, achieving roughly 1% of a CPU's power draw, with competitive accuracy in CPU simulation but lower accuracy o...
-
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms
A survey and classification of metaheuristics implemented on neuromorphic spiking neural network hardware, proposing a unified design framework for so-called Nheuristics.
Discussion (0). Continue with ORCID to comment.