Tuple switching network-When slower may be better

作者：Shi Justin Y^*; Taifi Moussa; Khreishah Abdallah; Wu Jie

来源：Journal of Parallel and Distributed Computing, 2012, 72(11): 1521-1534.

DOI：10.1016/j.jpdc.2012.01.014

• Application dependent networking
• Sustainable high performance computing

This paper reports an application dependent network design for extreme scale high performance computing (HPC) applications. Traditional scalable network designs focus on fast point-to-point transmission of generic data packets. The proposed network focuses on the sustainability of high performance computing applications by statistical multiplexing of semantic data objects. For HPC applications using data-driven parallel processing, a tuple is a semantic object. We report the design and implementation of a tuple switching network for data parallel HPC applications in order to gain performance and reliability at the same time when adding computing and communication resources. We describe a sustainability model and a simple computational experiment to demonstrate extreme scale application%26apos;s sustainability with decreasing system mean time between failures (MTBF). Assuming three times slowdown of statistical multiplexing and 35% time loss per checkpoint, a two-tier tuple switching framework would produce sustained performance and energy savings for extreme scale HPC application using more than 1024 processors or less than 6 hour MTBF. Higher processor counts or higher checkpoint overheads accelerate the benefits.

• 出版日期2012-11