论文标题
基于HLS的tau触发算法的LHC的优化：案例研究
HLS-based Optimization of Tau Triggering Algorithm for LHC: a case study
论文作者
论文摘要
随着大型强子对撞机（LHC）在CERN产生的数据的当前增加，以相应的方式处理此数据变得很重要。首先，有效选择包含大量数据流中相关信息的事件。这是tau Lepton Decay触发算法的任务。该实现基于高级合成（HLS）方法，该方法允许从用高级编程语言（如C ++）编写的算法中生成设计硬件描述。 HLS工具旨在减少硬件设计开发的时间和复杂性，但是它们的功能受到限制。有效应用的开发需要大量了解硬件设计和HLS细节。本文介绍了算法引入的优化，该算法改善了潜伏期和区域，更重要的是解决了路由的问题，从而可以在FPGA织物上实现算法。
With the current increase in the data produced by the Large Hadron Collider (LHC) at CERN, it becomes important to process this data in a corresponding manner. To begin with, to efficiently select events that contain relevant information from a massive flow of data. This is the task of the tau lepton decay triggering algorithm. The implementation is based on the High-Level Synthesis (HLS) approach that allows generating a hardware description of the design from the algorithm written in a high-level programming language like C++. HLS tools are intended to decrease the time and complexity of hardware design development, however, their capabilities are limited. The development of an efficient application requires substantial knowledge of the hardware design and HLS specifics. This paper presents the optimizations introduced to the algorithm that improved latency and area and more importantly solved the problems with the routing, making it possible to implement the algorithm on the FPGA fabric.
