Coordinated energy management in heterogeneous processors
Coordinated energy management in heterogeneous processors
复制标题
DOI：
10.1145/2503210.2503227
复制
发表时间：
2013-11
期刊：
影响因子：
--
通讯作者：
Indrani Paul;Vignesh T. Ravi;Srilatha Manne;Manish Arora;S. Yalamanchili
中科院分区：
文献类型：
--
作者：
Indrani Paul;Vignesh T. Ravi;Srilatha Manne;Manish Arora;S. Yalamanchili
本文探讨了高性能计算（HPC）应用程序的异构处理器的能量管理，包括一个集成的CPU-GPU。HPC应用程序的能源管理面临着不妥协的性能要求的挑战，并且需要在不同的核心类型之间协调能源管理-这是一个新的且不太了解的问题。我们研究了紧耦合CPU-GPU架构上HPC应用程序的节点内CPU-GPU频率敏感性，作为理解异构多节点HPC系统的功率和性能优化的第一步。从这种分析的见解形成了一个协调的能源管理方案，称为DynaCo的基础上，为集成的CPU-GPU架构。我们实现DynaCo上的现代异构处理器和比较其性能的一个国家的最先进的电源和性能管理算法。DynaCo将测量的平均能量延迟平方（ED^2）产品提高了高达30%，在几个千兆级和其他HPC工作负载上的平均性能损失不到2%。
This paper examines energy management in a heterogeneous processor consisting of an integrated CPU-GPU for high-performance computing (HPC) applications. Energy management for HPC applications is challenged by their uncompromising performance requirements and complicated by the need for coordinating energy management across distinct core types - a new and less understood problem. We examine the intra-node CPU-GPU frequency sensitivity of HPC applications on tightly coupled CPU-GPU architectures as the first step in understanding power and performance optimization for a heterogeneous multi-node HPC system. The insights from this analysis form the basis of a coordinated energy management scheme, called DynaCo, for integrated CPU-GPU architectures. We implement DynaCo on a modern heterogeneous processor and compare its performance to a state-of-the-art power- and performance-management algorithm. DynaCo improves measured average energy-delay squared (ED^2) product by up to 30% with less than 2% average performance loss across several exascale and other HPC workloads.