2012Unpublished venueRequires access

Hybrid Deterministic/Monte Carlo Neutronics Using GPU Accelerators

Jeff Willert, C. T. Kelley, D. A. Knoll, Han Dong, M. Ravishankar, Paul Sathre, Michael B. Sullivan, William Taitano

Open publisher page 3 citations

Abstract

In this paper we discuss a GPU implementation of a hybrid deterministic/Monte Carlo method for the solution of the neutron transport equation. The key feature is using GPUs to perform a Monte Carlo transport sweep as part of the evaluation of the nonlinear residual and Jacobian-vector product. We describe the algorithm and present some preliminary numerical results which illustrate the effectiveness of the GPU Monte Carlo sweeps.

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What this paper is about

In this paper we discuss a GPU implementation of a hybrid deterministic/Monte Carlo method for the solution of the neutron transport equation. The key feature is using GPUs to perform a Monte Carlo transport sweep as part of the evaluation of the nonlinear residual and Jacobian-vector product. We describe the algorithm and present some preliminary numerical results which illustrate the effectiveness of the GPU Monte Carlo sweeps.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper we discuss a GPU implementation of a hybrid deterministic/Monte Carlo method for the solution of the neutron transport equation. The key feature is using GPUs to perform a Monte Carlo transport sweep as part of the evaluation of the nonlinear residual and Jacobian-vector product. We describe the algorithm and present some preliminary numerical results which illustrate the effectiveness of the GPU Monte Carlo sweeps.

Key concepts: Monte Carlo method, Neutron transport, Hybrid Monte Carlo, Computer science, Monte Carlo molecular modeling, Quasi-Monte Carlo method, Dynamic Monte Carlo method, Residual

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