@inproceedings{bef545515d3d4b4ab31d783f8c9f26e2,
title = "Exploring Memory Hierarchy to Improve Scientific Data Read Performance",
abstract = "Improving read performance is one of the major challenges with speeding up scientific data analytic applications. Utilizing the memory hierarchy is one major line of researches to address the read performance bottleneck. Related methods usually combine solide-state-drives(SSDs) with dynamic random-access memory(DRAM) and/or parallel file system(PFS) to mitigate the speed and space gap between DRAM and PFS. However, these methods are unable to handle key performance issues plaguing SSDs, namely read contention that may cause up to 50% performance reduction. In this paper, we propose a framework that exploits the memory hierarchy resource to address the read contention issues involved with SSDs. The framework employs a general purpose online read algorithm that able to detect and utilize memory hierarchy resource to relieve the problem. To maintain a near optimal operating environment for SSDs, the framework is able to orchastrate data chunks across different memory layers to facilitate the read algorithm. Compared to existing tools, our framework achieves up to 50% read performance improvement when tested on datasets from real-world scientific simulations.",
keywords = "Memory hierarchy, Read contention, SSD, Scientific data",
author = "Wenzhao Zhang and Houjun Tang and Xiaocheng Zou and Steven Harenberg and Qing Liu and Scott Klasky and Samatova, {Nagiza F.}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Cluster Computing, CLUSTER 2015 ; Conference date: 08-09-2015 Through 11-09-2015",
year = "2015",
month = oct,
day = "26",
doi = "10.1109/CLUSTER.2015.18",
language = "English (US)",
series = "Proceedings - IEEE International Conference on Cluster Computing, ICCC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "66--69",
booktitle = "Proceedings - 2015 IEEE International Conference on Cluster Computing, CLUSTER 2015",
address = "United States",
}