CDebugger: A scalable parallel debugger with dynamic communication topology configuration
Juncheng Zhang, Zhongzhi Luan, Wenjun Li, Hailong Yang, Junjie Ni, Yuanqiang Huang, Depei Qian · 2011
With cloud computing to take off, the application range of cloud computing has been expanded significantly. Not limited to SOA applications, some high-performance parallel applications have been resident on cloud platform. Users can take advantages of large volume of resources and perform compute and data intensive parallel applications over clouds according to their application's demand without deploying actual physical infrastructure. In this context, tracing and debugging parallel applications become a pressing requirement in clouds. At present, there are still no widely adopted software tools to enable a robust parallel debugging environment for cloud computing. Considering the fact that the scale of parallel applications can be very large and a mass number of compute nodes are needed, we design a new parallel debugger named CDebugger with scalable communication and startup mechanism using the tree-based network in this paper. At the same time, a dynamic communication topology configuration algorithm is proposed to maximize debugging performance and reduce response time. The evaluation results reveal our parallel debugger with good scalability regarding to various application scales.