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

2 December 2023
Thomas Geert de Jong
Nozomi Akashi
Tomohiro Taniguchi
Hirofumi Notsu
Kohei Nakajima
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Abstract

We provide high-speed implementations for simulating reservoirs described by NNN-coupled spin-torque oscillators. Here NNN 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 NNN in range 111 to 10410^4104. More specifically, over all implementations the best factor is 78.9 for N=1N=1N=1 which decreases to 2.6 for N=103N=10^3N=103 and finally increases to 23.8 for N=104N=10^4N=104. GPU outperforms CPU significantly at N=2500N=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.

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