Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers
Hang Liu, Yufei Ding, Da Zhong Zheng, Seung Woo Son, Da Wei Yan · arXiv (Cornell University) · 2018
Shrinking transistors, which powered the advancement of computing in the past half century, has stalled due to power wall; now extreme heterogeneity is promised to be the next driving force to feed the needs of ever-increasingly diverse scientific domains. To unlock the potentials of such supercomputers, we identify eight potential challenges in three categories: First, one needs fast data movement since extreme heterogeneity will inevitably complicate the communication circuits -- thus hampering the data movement. Second, we need to intelligently schedule suitable hardware for corresponding applications/stages. Third, we have to lower the programming complexity in order to encourage the adoption of heterogeneous computing.