Exascale computing challenges and their application to a production datacenter

C. H. Finan
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Abstract

In this talk I will outline the main challenges to achieving useable Exascale computer systems and discuss some of the approaches being taken to address them. These include the requirement to cut the power needed by the system, ensure the reliability of the system and specify programming models that will effectively utilize the system's potential. I will then draw on an example based on the computational core of an investment house fixed incomes desk. This example highlights a system that can reliably use a hybrid set of computational resources to price complicated bonds and to measure their risk profile. This is one type of code that can take advantage of any reasonable system with only minor modification.
百亿亿级计算挑战及其在生产数据中心的应用
在这次演讲中,我将概述实现可用的百亿亿级计算机系统的主要挑战,并讨论一些正在采取的解决这些挑战的方法。这些包括要求切断系统所需的电源,确保系统的可靠性,并指定将有效利用系统潜力的编程模型。然后,我将以一家投资公司固定收益部门的计算核心为例。这个例子突出了一个系统,它可以可靠地使用一组混合计算资源来为复杂的债券定价并衡量其风险状况。这是一种代码,它可以利用任何合理的系统,只需要稍加修改。
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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