scholar.google.com › citations
Dec 4, 2020 � In this work, an adaptive dimensionality reduction scheme is investigated, and its implementation using graphic accelerators is proposed.
In this work, an adaptive dimensionality reduction scheme is investigated, and its implementation using graphic accelerators is proposed. Numerical experiments�...
This paper features the study of global optimization problems and numerical methods of their solution. Such problems are computationally expensive.
Oct 20, 2021 � In this work, we propose an adaptive global and local bilevel optimization model(GL-GAN), which applies the local bilevel opti- mization model�...
Missing: Accelerators. | Show results with:Accelerators.
The goal of this chapter is to help CPU programmers who are new to GPU programming avoid some of these common mistakes so that they gain the benefits of GPU�...
Jul 1, 2018 � In this paper, we present a novel parallel algorithm implemented on graphics accelerators to solve the two-dimensional inverse heat conduction problem.
Missing: Adaptive | Show results with:Adaptive
In the new scheme, an original multidimensional problem is reduced to a family of lower-dimensional problems, which are solved using evolvents. An adaptive�...
In this work, a novel multi-objective efficient global optimization (EGO) algorithm, namely GMOEGO, is presented by proposing an approach of available�...
Missing: Accelerators. | Show results with:Accelerators.
Abstract—Recent years have seen a trend in using graphic pro- cessing units (GPU) as accelerators for general-purpose comput-.
Aug 6, 2024 � In this review article, we offer a conceptual overview of applying Bayesian optimization techniques toward solving optimization problems in accelerator physics.