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Distributed Computation and Large-Scale Visualization in Heterogeneous Compute Environments

机译:异构计算环境中的分布式计算和大规模可视化

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High performance computing still typically disregards heterogeneous environments and focuses on homogeneous clusters. While providing advantages and easing development, this fails to address the recent change toward heterogeneous computing infrastructure. With DIANA we presented an abstraction layer for unified access to local compute hardware including different hardware APIs. In this paper we extend DIANA, enabling transparent access to remote hardware. In this context, we demonstrate how to use DIANA for distributed computation and large-scale visualization of the finite-time Lyapunov exponent field in heterogeneous environments.
机译:高性能计算通常仍然忽略异构环境并侧重于均匀的集群。在提供优势和宽松的发展的同时,这未能解决最近对异构计算基础设施的变化。使用Diana,我们提出了一个抽象层,用于统一访问本地计算硬件,包括不同的硬件API。在本文中,我们扩展了Diana,可以透明地访问远程硬件。在这种情况下,我们展示了如何使用Diana进行异构环境中的有限时间Lyapunov指数领域的分布式计算和大规模可视化。

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