Stochastic Learning of Computational Resource Usage as Graph-Structured Multimarginal Schrödinger Bridge

IF 3.9 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Georgiy A. Bondar;Robert Gifford;Linh Thi Xuan Phan;Abhishek Halder
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引用次数: 0

Abstract

We propose to learn the time-varying stochastic computational resource usage of software as a graph-structured Schrödinger bridge problem (SBP). In general, learning the computational resource usage from data is challenging because resources, such as the number of CPU instructions and the number of last level cache requests are both time-varying and statistically correlated. Our proposed method enables learning the joint time-varying stochasticity in computational resource usage from the measured profile snapshots in a nonparametric manner. The method can be used to predict the most-likely time-varying distribution of computational resource availability at a desired time. We provide detailed algorithms for stochastic learning in both single-core and multicore cases, discuss the convergence guarantees, computational complexities, and demonstrate their practical use in two case studies: a single-core nonlinear model predictive controller (NMPC) and a synthetic multicore software.
图结构多边际计算资源使用的随机学习Schrödinger桥
我们建议将软件的时变随机计算资源使用作为图结构Schrödinger桥问题(SBP)来学习。通常,从数据中了解计算资源的使用情况是具有挑战性的,因为资源(例如CPU指令的数量和最后一级缓存请求的数量)既随时间变化,又在统计上相关。我们提出的方法能够以非参数的方式从测量的剖面快照中学习计算资源使用的联合时变随机性。该方法可用于预测在期望时间计算资源可用性最可能的时变分布。我们提供了在单核和多核情况下随机学习的详细算法,讨论了收敛保证,计算复杂性,并在两个案例研究中展示了它们的实际应用:单核非线性模型预测控制器(NMPC)和合成多核软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Control Systems Technology
IEEE Transactions on Control Systems Technology 工程技术-工程:电子与电气
CiteScore
10.70
自引率
2.10%
发文量
218
审稿时长
6.7 months
期刊介绍: The IEEE Transactions on Control Systems Technology publishes high quality technical papers on technological advances in control engineering. The word technology is from the Greek technologia. The modern meaning is a scientific method to achieve a practical purpose. Control Systems Technology includes all aspects of control engineering needed to implement practical control systems, from analysis and design, through simulation and hardware. A primary purpose of the IEEE Transactions on Control Systems Technology is to have an archival publication which will bridge the gap between theory and practice. Papers are published in the IEEE Transactions on Control System Technology which disclose significant new knowledge, exploratory developments, or practical applications in all aspects of technology needed to implement control systems, from analysis and design through simulation, and hardware.
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