Heterogeneous cloud computing

被引：64

作者：

Crago, Steve ^{[1
]}

Dunn, Kyle ^{[1
]}

Eads, Patrick ^{[1
]}

Hochstein, Lorin ^{[1
]}

Kang, Dong-In ^{[1
]}

Kang, Mikyung ^{[1
]}

Modium, Devendra ^{[1
]}

Singh, Karandeep ^{[1
]}

Suh, Jinwoo ^{[1
]}

Walters, John Paul ^{[1
]}

机构：

[1] Univ So Calif, Inst Informat Sci, Arlington, VA 22203 USA

来源：

2011 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER) | 2011年

关键词：

cloud computing; accelerators; high-performance computing;

D O I：

10.1109/CLUSTER.2011.49

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Current cloud computing infrastructure typically assumes a homogeneous collection of commodity hardware, with details about hardware variation intentionally hidden from users. In this paper, we present our approach for extending the traditional notions of cloud computing to provide a cloud-based access model to clusters that contain a heterogeneous architectures and accelerators. We describe our ongoing work extending the OpenStack cloud computing stack to support heterogeneous architectures and accelerators, and our experiences running OpenStack on our local heterogeneous cluster testbed.

引用

页码：378 / 385

页数：8