论文标题

Vegasflow:跨多个硬件平台加速蒙特卡洛模拟

VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms

论文作者

Carrazza, Stefano, Cruz-Martinez, Juan M.

论文摘要

我们提供Vegasflow,这是一种新软件,用于基于蒙特卡洛集成技术的高维积分快速评估,该软件是为带有硬件加速器的平台设计的。许多科学领域的计算和模拟的复杂性日益增长,伴随着有助于其发展的计算工具的进步。 Vegasflow使开发人员能够将硬件或平台实现的所有复杂方面委托给库,以便他们可以专注于手头的问题。该软件的灵感来自Vegas算法,该算法在粒子物理社区中无处不在,作为横截面集成的驱动力,并基于Google功能强大的TensorFlow库。我们在许多不同的消费者和专业级GPU和CPU上基准了该库的性能。

We present VegasFlow, a new software for fast evaluation of high dimensional integrals based on Monte Carlo integration techniques designed for platforms with hardware accelerators. The growing complexity of calculations and simulations in many areas of science have been accompanied by advances in the computational tools which have helped their developments. VegasFlow enables developers to delegate all complicated aspects of hardware or platform implementation to the library so they can focus on the problem at hand. This software is inspired on the Vegas algorithm, ubiquitous in the particle physics community as the driver of cross section integration, and based on Google's powerful TensorFlow library. We benchmark the performance of this library on many different consumer and professional grade GPUs and CPUs.

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