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Sökning: WFRF:(Cui Jianbo)

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1.
  • Cohen, David, 1977, et al. (författare)
  • Exponential integrators for stochastic Maxwell's equations driven by Itô noise
  • 2020
  • Ingår i: Journal of Computational Physics. - : Elsevier BV. - 1090-2716 .- 0021-9991. ; 410
  • Tidskriftsartikel (refereegranskat)abstract
    • This article presents explicit exponential integrators for stochastic Maxwell's equations driven by both multiplicative and additive noises. By utilizing the regularity estimate of the mild solution, we first prove that the strong order of the numerical approximation is [Formula presented] for general multiplicative noise. Combining a proper decomposition with the stochastic Fubini's theorem, the strong order of the proposed scheme is shown to be 1 for additive noise. Moreover, for linear stochastic Maxwell's equation with additive noise, the proposed time integrator is shown to preserve exactly the symplectic structure, the evolution of the energy as well as the evolution of the divergence in the sense of expectation. Several numerical experiments are presented in order to verify our theoretical findings.
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2.
  • Dong, Jianbo, et al. (författare)
  • Venice: Exploring Server Architectures for Effective Resource Sharing
  • 2016
  • Ingår i: Proceedings - International Symposium on High-Performance Computer Architecture. - 1530-0897. - 9781467392112 ; 2016-April, s. 507-518
  • Konferensbidrag (refereegranskat)abstract
    • Consolidated server racks are quickly becoming the backbone of IT infrastructure for science, engineering, and business, alike. These servers are still largely built and organized as when they were distributed, individual entities. Given that many fields increasingly rely on analytics of huge datasets, it makes sense to support flexible resource utilization across servers to improve cost-effectiveness and performance. We introduce Venice, a family of data-center server architectures that builds a strong communication substrate as a first-class resource for server chips. Venice provides a diverse set of resource-joining mechanisms that enables user programs to efficiently leverage non-local resources.To better understand the implications of design decisionsabout system support for resource sharing we have constructed a hardware prototype that allows us to more accurately measure end-to-end performance of at-scale applications and to explore tradeoffs among performance, power, and resource-sharing transparency. We present results from our initial studies analyzing these tradeoffs when sharing memory, accelerators, or NICs. We find that it is particularly important to reduce or hide latency, that data-sharing access patterns should match the features of the communication channels employed, and that inter-channel collaboration can be exploited for better performance.
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  • Resultat 1-3 av 3

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