论文标题
随机计算原理：基本概念和应用
Principles of Stochastic Computing: Fundamental Concepts and Applications
论文作者
论文摘要
半导体和IC行业面临着高能量消耗的问题。在现代，计算机和处理系统的设计基于Turing Machine和Von Neumann的架构。该体系结构主要集中于设计基于确定性行为的系统。为了解决系统中的能耗和可靠性，引入了随机计算。在这项研究中，我们旨在审查和研究随机计算及其实施技术背后的原理。通过利用随机计算，我们可以在设计算术单元方面实现更高的能效和较小的面积大小。此外，我们旨在推广随机系统在设计未来派BLSI和神经形态系统时的隶属关系。
The semiconductor and IC industry is facing the issue of high energy consumption. In modern days computers and processing systems are designed based on the Turing machine and Von Neumann's architecture. This architecture mainly focused on designing systems based on deterministic behaviors. To tackle energy consumption and reliability in systems, Stochastic Computing was introduced. In this research, we aim to review and study the principles behind stochastic computing and its implementation techniques. By utilizing stochastic computing, we can achieve higher energy efficiency and smaller area sizes in terms of designing arithmetic units. Also, we aim to popularize the affiliation of Stochastic systems in designing futuristic BLSI and Neuromorphic systems.
