标题： 蒙特卡罗方法及加速它的新设备和架构技术 显示英文标题

标题： The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It

摘要： 与现实世界过程交互的计算系统必须安全可靠地处理不确定数据。 蒙特卡洛方法是一种用于处理此类不确定值的流行方法。 本文介绍了一个描述蒙特卡洛方法的框架，并强调了物理基础的非均匀随机变量生成器（PPRVGs）领域的两项进展，以克服传统蒙特卡洛采样的常见限制。 本文还强调了最近在架构技术方面的进展，这些技术通过利用分布微体系结构状态来原生地对概率分布进行计算，从而消除了使用蒙特卡洛方法的需要。 与蒙特卡洛方法不同，不确定性跟踪处理器架构可以被认为是收敛无关的。 显示英文摘要

摘要： Computing systems interacting with real-world processes must safely and reliably process uncertain data. The Monte Carlo method is a popular approach for computing with such uncertain values. This article introduces a framework for describing the Monte Carlo method and highlights two advances in the domain of physics-based non-uniform random variate generators (PPRVGs) to overcome common limitations of traditional Monte Carlo sampling. This article also highlights recent advances in architectural techniques that eliminate the need to use the Monte Carlo method by leveraging distributional microarchitectural state to natively compute on probability distributions. Unlike Monte Carlo methods, uncertainty-tracking processor architectures can be said to be convergence-oblivious.