@inproceedings{f67595b160fb493bbbd734c97205643c,
title = "A decoupled execution paradigm for data-intensive high-end computing",
abstract = "High-end computing (HEC) applications in critical areas of science and technology tend to be more and more data intensive. I/O has become a vital performance bottleneck of modern HEC practice. Conventional HEC execution paradigms, however, are computing-centric for computation intensive applications. They are designed to utilize memory and CPU performance and have inherent limitations in addressing the critical I/O bottleneck issues of HEC. In this study, we propose a decoupled execution paradigm (DEP) to address the challenging I/O bottleneck issues. DEP is the first paradigm enabling users to identify and handle data-intensive operations separately. It can significantly reduce costly data movement and is better than the existing execution paradigms for data-intensive applications. The initial experimental tests have confirmed its promising potential. Its data-centric architecture could have an impact in future HEC systems, programming models, and algorithms design and development.",
keywords = "data-intensive computing, decoupled execution paradigm, high-end computing, storage",
author = "Yong Chen and Chao Chen and Sun, {Xian He} and Gropp, {William D.} and Rajeev Thakur",
year = "2012",
doi = "10.1109/CLUSTER.2012.80",
language = "English (US)",
isbn = "9780768548074",
series = "Proceedings - 2012 IEEE International Conference on Cluster Computing, CLUSTER 2012",
publisher = "IEEE Computer Society",
pages = "200--208",
booktitle = "Proceedings - 2012 IEEE International Conference on Cluster Computing, CLUSTER 2012",
note = "2012 IEEE International Conference on Cluster Computing, CLUSTER 2012 ; Conference date: 24-09-2012 Through 28-09-2012",
}