返回
Simple, parallel virtual machines for extreme computations
DOI:10.1016/j.cpc.2015.05.015.png)
摘要
En 中文
We introduce a virtual machine (VM) written in a numerically fast language like Fortran or C for evaluating very large expressions. We discuss the general concept of how to perform computations in terms of a VM and present specifically a VM that is able to compute tree-level cross sections for any number of external legs, given the corresponding byte-code from the optimal matrix element generator, OMEGA. Furthermore, this approach allows to formulate the parallel computation of a single phase space point in a simple and obvious way. We analyze hereby the scaling behavior with multiple threads as well as the benefits and drawbacks that are introduced with this method. Our implementation of a VM can run faster than the corresponding native, compiled code for certain processes and compilers, especially for very high multiplicities, and has in general runtimes in the same order of magnitude. By avoiding the tedious compile and link steps, which may fail for source code files of gigabyte sizes, new processes or complex higher order corrections that are currently out of reach could be evaluated with a VM given enough computing power. (C) 2015 Elsevier B.V. All rights reserved.
Keyword:
Virtual machine
High-performance computing
Automation of perturbative calculations
Higher orders
Parallel computation
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.4
论文数:
1.2W
被引数:
3.7W
机构
引用论文
ALOHA: Automatic libraries of helicity amplitudes for Feynman diagram computationsALOHA: 用于Feynman图计算的螺旋度振幅自动库

