English

Virtual reservoir acceleration for CPU and GPU: Case study for coupled spin-torque oscillator reservoir

Distributed, Parallel, and Cluster Computing 2023-12-05 v1 Machine Learning

Abstract

We provide high-speed implementations for simulating reservoirs described by NN-coupled spin-torque oscillators. Here NN also corresponds to the number of reservoir nodes. We benchmark a variety of implementations based on CPU and GPU. Our new methods are at least 2.6 times quicker than the baseline for NN in range 11 to 10410^4. More specifically, over all implementations the best factor is 78.9 for N=1N=1 which decreases to 2.6 for N=103N=10^3 and finally increases to 23.8 for N=104N=10^4. GPU outperforms CPU significantly at N=2500N=2500. Our results show that GPU implementations should be tested for reservoir simulations. The implementations considered here can be used for any reservoir with evolution that can be approximated using an explicit method.

Keywords

Cite

@article{arxiv.2312.01121,
  title  = {Virtual reservoir acceleration for CPU and GPU: Case study for coupled spin-torque oscillator reservoir},
  author = {Thomas Geert de Jong and Nozomi Akashi and Tomohiro Taniguchi and Hirofumi Notsu and Kohei Nakajima},
  journal= {arXiv preprint arXiv:2312.01121},
  year   = {2023}
}
R2 v1 2026-06-28T13:39:09.886Z