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arXiv · 1804.09738

Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers

Hang Liu·Yufei Ding·Da Zheng·Seung Woo Son·Da Yan
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Abstract

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.

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Hang Liu, Yufei Ding, Da Zheng, Seung Woo Son, Da Yan. 2018-04-25. Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers. https://arxiv.org/abs/1804.09738

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