In this paper we present a new accounting model for heterogeneous supercomputers. An increasing number of supercomputing centres adopt heterogeneous architectures consisting of CPUs and hardware accelerators for their systems. Accounting models using the core hour as unit of measure are redefined to provide an appropriate charging rate based on the computing performance of different processing elements, as well as their energy efficiency and purchase price. In this paper we provide an overview of existing models and define a new model that, while retaining the core hour as a fundamental concept, takes into account the interplay among resources such as CPUs and RAM, and that bases the GPU charging rate on energy consumption. We believe that this model, designed for Pawsey Supercomputing Research Centre's next supercomputer Setonix, has a lot of advantages compared to other models, introducing carbon footprint as a primary driver in determining the allocation of computational workflow on heterogeneous resources.
翻译:在本文中,我们为多元超级计算机提出了一个新的会计模式。越来越多的超级计算中心采用了由CPU和硬件加速器组成的不同结构。使用核心小时作为计量单位的会计模式被重新定义,以便根据不同处理要素的计算性能以及它们的能源效率和购买价格提供适当的收费率。在本文中,我们对现有模式作了概述,并界定了一种新的模式,在保留核心小时作为基本概念的同时,考虑到诸如CPU和RAM等资源之间的相互作用,以及GPU的收费率以能源消耗为基础。我们认为,为Pawsey超级计算研究中心下一个超级计算机Setonix设计的这一模式与其他模型相比具有许多优势,将碳足迹作为决定多种资源计算工作流程分配的主要驱动因素。